All Product List

Product Introduction

BIS Capital Requirements Management System

Short system implementation period of 1-3 months. Fast calculation speed, with approximately 1,484 assets calculated in about 30 seconds. Daily market data maintenance and real-time updates of BIS capital provisioning system based on official regulations. Automatic upload scheduling can be set through a user interface with permission management, reducing time spent on data aggregation and upload. Independent control and inspection of asset position details by department, with non-asset departments unable to view asset position details. Generates Excel, PDF, and media files as required by official regulations. Advanced analysis and management features to monitor daily capital adequacy ratios, changes in risk-weighted assets for departments or individual assets, and assess the impact of future asset purchases on capital adequacy ratios using sensitivity analysis and scenario analysis. Users can set up their accounts based on functional requirements, as follows: The information or risk department manages account permissions Risk management department general permissions Each department can create, delete, and manage accounts The system allows users to create, delete, and manage accounts. Users can assign asset inspection accounts to different departments. They can also set automatic upload times for data and file uploads. The system allows users to upload files and view upload records manually. Users can also view the asset position details of different departments. They can initiate calculations, download reports, assign asset inspection accounts to various departments, and set automatic upload times. Users can only view the asset position details of their respective departments. Own Capital and Deducted Capital: Tier 1 Capital, Tier 2 Capital, Tier 3 Capital, Deducted Assets, Qualified Capital Instruments for Financial Related Businesses Market Risk: Interest Rate Risk: General market risk (maturity approach), general market risk (duration approach), specific risk Equity Risk: General market risk, specific risk Foreign Exchange Risk: Foreign currency assets on the balance sheet, forward positions, foreign exchange options Delta positions, gold positions Options Risk: Simple approach, Delta-plus approach Credit Risk: Repurchase transactions, credit transaction account receivables (comprehensive calculation method), over-the-counter (OTC) derivative products, general counterparty risk for entrusted trading (comprehensive calculation method), general on-balance-sheet transactions Operational Risk: Basic Indicator Approach, Standardized Approach

Market Data

Block Trade- Taiwan

In Taiwan, where trades exceeding NT$15 million or 500 units are classified as block trades, they include both matched trades and continuous trading. TEJ offers detailed information on each block trade, such as transaction prices and share volumes, providing investors with a comprehensive view of these significant market activities. Block trade data provides insights into high-value transactions, revealing market liquidity, institutional behavior, and volatility impacts. Item Information Frequency Daily Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Company Code -Company Name -Date -OD -Type -Classification -Delivery Type -Price -Volume -Amount For investors, block trades can cause short-term market volatility, especially in low-liquidity environments, where uncertainty about transaction motives adds instability. Prominent investor-led trades often signal confidence, triggering follow-up actions and amplifying volatility. Additionally, large sell orders can reduce liquidity, and frequent trades may shift market structure. Analyzing block trade data helps investors track trends and optimize decisions. What is Block Trade? TEJ will introduce you to it from the ground up? Block Trade Strategy Achieves Performance Beyond The Market Index “Block Trades” as Warning Signals? Analyzing Insider Transfers and Changes in Stock Prices Using TEJ API Contact Us

Market Data

Brokers’ Trading-Taiwan

Brokers’ trading data captures stock transactions by brokerage firms, including volumes, net positions, and specific stock details. It also provides transaction data for each broker branch, reflecting the buying and selling concentration and trading strategies of specific brokers or branches. Item Information Frequency Daily Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Company Code -Company Name -Date -Broker Code -Broker Name -Buy Volume -Sell Volume -Buy Amount -Sell Amount Brokers’ trading data helps investors analyze chip concentration to determine whether specific stocks are being heavily operated, thus identifying potential price fluctuation risks. By tracking the trading records of specific brokers or branches, users can monitor the movements of major funds and discern market trends. Additionally, this data provides short-term investors with concrete references to support the formulation of buy-and-sell strategies. Stock Selection Factor Study: A Study Combining brokers branches trading and Momentum Factors National Stabilization Fund Performances

Credit Risk Solution

CCRQM_China Corporate Credit Quantitative Model

The opacity of Chinese corporate information and the inflated ratings in the bond market have always been the biggest pain in our cooperation with Chinese corporations. From the complexity of data collection to the credibility of data analysis, data limitations of all sizes affect our ability to assess the credit risk of corporations from publicly available information. In 2013, TEJ published China Corporate Credit Quantitative Model, CCRQM, a credit risk rating system for evaluating China Corporate’s credit. CCRQM is based on quantitative models and data generated from financial reports. These ratings are updated every half-year. TEJ adopts the data from financial reports to create logistic regression and expert judgment to decide the best combination of variables and variable weights in models. In this way, the credit scoring model of Scorecard generates user-friendly credit scores. Listed corporate entities in Shanghai and Shenzhen are the main objects. Opened and transparent quantitative model ratings. Based on TEJ standardized and comparable financial data. Rating results are updated regularly upon the release of new financial reports. Distinguished credit ratings. Neutral credit ratings by third parties. Regular publication of factors modification and validity test of the model. Bankers： Enhance credit risk evaluation efficiency. Investors： Manage investment portfolio credit risk. Corporatations： Evaluate changes in credit risk efficiently. The model primarily utilizes publicly available financial statement data, applying logistic stepwise regression combined with expert judgment to select the optimal variable combinations and their respective weights. These are then converted into user-friendly credit scores using a scorecard credit scoring model. Scorecard Credit Scoring Model Start Managing Corporate Credit Risk of Investment Portfolio Evaluate Credit Risk More Efficiently Today! Contact Us Risk category corresponds to a specific grade Adjustment of the formula grade to the basic grade by using financial disclosure and group as the threshold limit. Risk Assessment Factors for BASIC Grade The average default risk differentiation ability of 90.24% over the last 10 years (2014~2023) indicates that the quantitative model (threshold level) has a high differentiation ability regardless of the modeling period. Observing the status of quantitative model (basic grade) rating through the shift matrix, the average 1-year maintenance rate from 2005-2023 is about 40-60%, and the volatility of low risk is small compared to the high risk. Through the expert judgment rating, it can effectively improve the ability and stability of the long-term investment and credit index. Facing the special characteristics of Chinese enterprises: asset restructuring, shell-listing, financial window-dressing, and the outbreak of cash fraud cases in recent years, TEJ have been reflecting on and revising CCRQM‘s methodology. We continue to provide solutions for you to enhance your early warning capability! Start Managing Corporate Credit Risk of Investment Portfolio Evaluate Credit Risk More Efficiently Today!

Product Introduction

Central Deposit- Taiwan

The TDCC (Taiwan Depository & Clearing Corporation) provides weekly information of depository . It includes data on the number of shareholders, shares, and equity deposit ratio . This information allows for the observation of the concentration or dispersion of equity ownership. Item Information Frequency Daily Source Taiwan Depository & Clearing Corporation Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Share under custody -Number of shareholders -Number of shares and ratio -Deposit ratio Central depository data from the TDCC provides valuable insights into the concentration or dispersion of equity ownership by tracking shareholder numbers, shares, and equity deposit ratios. Businesses can use this information to analyze shareholder composition, assess investor confidence, and identify shifts in ownership trends. This data is instrumental in evaluating market sentiment, gauging liquidity, and understanding the behavior of key investor groups. Empirical Analysis of Retail Investors Trading Behavior in the Taiwan Stock Market Contact Us

Product Introduction

Corporate Actions

Provide comprehensive information on corporate capital change events, including capital increases, capital reductions, dividend distributions, mergers and acquisitions, spin-offs, Global Depositary Receipt (GDR) issuance, convertible bond (CB) conversions, and employee stock subscriptions. This data facilitates a deeper understanding of corporate capital change policies and their execution. Item Information Frequency Irregularly; updated continuously Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Ex_Date -Capital -Capital Increase or Reduction -Ex_Right data -Ex_Right Price -Pay Date Information on capital changes includes events such as cash capital increase, earnings capitalization, issuance of convertible bonds (CB), mergers and acquisitions, and treasury stock cancellation, all of which impact a company’s capital structure and market value. Investment institutions and credit departments require accurate and timely capital change information to assess corporate growth potential, leverage risk, and shareholder equity changes, thereby optimizing investment portfolios and credit decisions. Insider Transfer Strategy: A Solution to Timing Difficulties Examine the Impact of Corporate Events on Stock Returns by Using Event Study Contact Us

Credit Risk Solution

Credit Risk Market Model (CRMM)

92% High ability to distinguish (ROC) ALL Real-time monitoring of risk on trading days BEST Ability to predict differences Monitoring risks each day.   Tested and adjusted by TEJ, the model is suitable for the Taiwan stock market and with high validity.  Divided into 9 credit ratings that directly correspond to TCRI makes it easy to be interpreted.  Combination with financial information from the TEJ database increases the understandability. Better warning ability in Taiwan market than other well-known models (e.g., Z-Score). Time-tested theoretical foundation – Merton Model. Uses of stock price and contents such as forward-looking expectations. Daily monitoring of risks which avoids limitations of the window period of financial statements. The shorter the final level of the TMR model, the stronger the ability to correctly identify high-risk companies. In addition, using the CRMM model, regardless of the level of indicators in the short, medium, and long-term, the predictive discriminatory ability is much higher than that of the well-known foreign structural model by about 13%. Monitoring CRMM information on affiliated enterprises of a group and the latest changes in credit risk of each group. Major Alerts CRMM Information (DD, TCRITM, TMR, Rating Adjustments), Market Trading Information, Significant Transaction Alerts, Risk Levels Stock Price Alerts Capital Flow Information, Unusual Activity Alerts Financial Alerts Growth, Safety, Operational Efficiency Information, and Severe Deterioration Alerts Board of Directors and Supervisors Alerts Changes and Deterioration in Directors’ and Supervisors’ Shareholding and Pledging Alerts CategoriesContact us and get the Model to support you Monitor Real-time Market Credit Risk!

Product Introduction

Director Holding

Database tracks changes in shareholding and pledge information for directors, supervisors, and managers of publicly listed companies in Taiwan. The data is updated monthly, with information released by the 15th of each month for the previous month’s changes. The database provides detailed information on the number of shares held, pledged, and held in trust by insiders, as well as the changes in these holdings. Item Information Frequency Irregularly Source MOPS Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Director Name -Title -Number of Shares -Holding (%) -Relationship -Pledged (%) -Trust (%) Understanding Insider Sentiment: Changes in shareholdings by directors and supervisors offer insights into how insiders perceive the company, validating or contradicting executive statements. Assessing Financial Pressure: Tracking share pledges helps assess potential financial pressure on insiders, with high pledge levels signaling possible liquidity issues. Comprehensive Shareholder & Pledge Analysis: The database enables detailed tracking of insider shareholdings and pledges, supporting a thorough evaluation of a company’s financial health and its key stakeholders. Unlocking Market Insights: Comparing Three Strategies Based on Directors’ Shareholding Data What is the Directors’ Holdings ? TEJ will help you get to know each other from scratch Contact Us

Product Introduction

Directors & Supervisors Responsibilities and Specialization Dataset

In 2020, Financial Supervisory Commission ( also known as “FSC”) have officially launched the “Corporate Governance 3.0 – Sustainable Development Roadmap” (hereinafter referred to as CG 3.0). CG 3.0 take the following five action plans:“Strengthen duties and functions of boards,” “Enhance information transparency,” “Strengthen communication with stakeholders,” “Encourage stewardship of institutional investors:,” and “Deepen a corporate culture of sustainable governance.” Which shows the crucial role that the board of directors and senior supervisors play in corporate governance. Moreover, FSC even launched “Corporate Governance 4.0 – Sustainable Development Action Plan for Listed Companies” in 2023. In order to align with international corporate governance developments, Taiwan actively understands the trends of major countries worldwide, plans a corporate governance system suitable for its national context. Therefore, observe the information of directors and supervisors, such as the establishment of independent directors, audit committees, compensation committees, and the frequency of various meetings, all these data can help us understand more about corporate governance operations. TEJ Directors & Supervisors Responsibilities and Specialization Dataset covers various aspects of corporate governance, specifically focusing on detailed information about directors and supervisors, such as resignation and appointment records, committees attendance, educational background and work experience, and various statistical data. We collect and organize these information for you, helping to solve the challenges of data collection and providing an important basis for analyzing corporate governance. Collect and organize the raw data related to directors and supervisors. Systematically categorize the data into various aspects, such as responsibilities, specialization, and more. Provide an in-depth view of board functions of all listed companies in Taiwan. Rich Research Variables: TEJ further derives relevant research variables from raw data. Follow International Framework: Diverse data combine with the OECD framework, aiding in comprehending the operations of corporate governance systems. Time and Cost Efficiency: Reduces time and cost for data collection and organization. Convienent to use: Research variables are systematically categorized for ease of use and analysis. Get Ahead of the Curve on Corporate Governance Trend Improve your workflow with TEJ Sustainability Solution Today! TEJ ESG Sustainability Solution The announcement of changes in the board of directors and supervisors due to elections allows for observing board changes alongside operational performance to assess their reasonableness. Data includes reasons for changes, extent of changes, and tenure of outgoing members. The frequency of various meetings reveals how the management makes decisions on company matters, allowing for an assessment of corporate governance operations. The participation of directors and Supervisors in company affairs can be gauged through their attendance at various meetings, providing insights into the operation of corporate governance. Functional Committees encompass audit committees, compensation committees, corporate governance committees, etc. Figure 1. Attendance fo Functional Committees. Source: TEJ Sustainability Solution Understanding the professional knowledge, skills, and background of management enables further assessment of business risks and development. Data includes education, experience, tenure, and professional background (accounting, finance, legal, CPA, teaching). The database provides information on the training objectives and key points for directors and supervisors based on the Corporate Governance Best Practice Principles. It helps assess directors’ professional capabilities and their ability to assist the board in operations effectively, thereby strengthening corporate governance. Figure 2. Education & Experience of Directors and Supervisors (2330. TW as sample). Source: TEJ Sustainability Solution To align with global standards, understanding the composition, remunerations, and shareholding of the board can help us assess a company’s operational performance. TEJ offer you the ultimate dataset to examine all facets. Gender and Age：Study the diversity of the board members. Remunerations：Salary, remuneration and other income of directors, supervisors and managers. Shareholding Detail：Shareholding and pledge of major shareholders, directors and supervisors. In 2023, FSC announced “Corporate Governance 4.0 – Sustainable Development Action Plan for Listed Companies,” regulations stipulate that starting in 2024, listed and OTC companies must achieve a target of one-third of female board members by 2025. For detailed information on the gender of board members, please refer to the article “Women in Boardroom: Are They Driving Growth in Taiwanese Companies?” All the data you need to analyze can be found in TEJ dataset! Figure 3. Seats and Proportion of Woman in Management in Taiwan. Source: TEJ Sustainability Solution TEJ Directors & Supervisors Responsibilities and Specialization Dataset supports users in getting ahead of the latest corporate governance principles, offering comprehensive datasets to analyze and assess the operational performance of the board and supervisors. The board of directors and supervisors play a crucial role in corporate governance, which is a fundamental aspect of a healthy capital market and a key factor in attracting continuous investment. To enhance the efficiency of consolidating director and supervisors data while reducing the workflow you spend on, you need a reliable and comprehensive database! Taiwan Economic Journal (TEJ), drawing on over 20 years of research and expertise in corporate social responsibility and ESG issues, has collected related data and developed a comprehensive solution. This helps financial institutions face the challenges of promoting responsible investment and credit and supports scholars’ research. TEJ’s solution streamlines the process, allowing for efficient and precise evaluation of companies in green finance. We serve as a one-stop platform to meet the assessment and information needs for green finance goals. For more information, please feel free to contact us! Get Ahead of the Curve on Corporate Governance Trend Improve your workflow with TEJ Sustainability Solution Today! TEJ ESG Sustainability Solution ✉️ E-mail： tejservice@tej.com.tw | ☎️ Phone： +886-2–87681088

Event-Driven Data

Dividend Policy

Dividend policy data provides detailed insights into how corporations allocate profits to shareholders, including the distribution method (cash or stock dividends), timing, and payout consistency. This information helps investors evaluate a company’s financial health, stability, and potential for creating shareholder value. Item Information Frequency Irregularly; updated continuously Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Payout Ratio -Cash Dividends -Stock Dividends -Ex Date -Pay Date -Dividends Type Dividend policy information helps investors analyze profit distribution patterns and predict future earnings. For institutional investors, understanding dividend history and policy dynamics is key to assessing a company’s stability and capital structure. This data allows investors to forecast dividend trends, refine investment strategies, and adjust portfolios. Additionally, the database offers detailed information like quarterly reports and annual payment dates, helping investors seize opportunities in dividend distribution. Defensive stocks -recover after going ex-dividend Michael Sivy’s 4 Key Income Investing Principles Unveiled Contact Us

Alternative Data

Earning Call Transcripts

TEJ Earnings Call Transcript Data transforms unstructured Taiwanese corporate audio into highly accurate, structured data. Leveraging Google Gemini AI coupled with Taiwan market-specific prompt engineering, this solution converts qualitative management discussions into reliable, searchable text while eliminating industry-term hallucinations. Driven by real-time integration with our proprietary executive database, it automatically identifies speakers to enable precise tracking of management tone. This solution serves as the ultimate bridge between corporate disclosures and quantitative finance, empowering researchers to effortlessly execute text mining, sentiment analysis, and alpha-generating workflows. Item Information Frequency Irregularly Source MOPS Scale Taiwan’s Top 300 Listed Companies by Market Cap Historical Period From 2021/01/01 Fields Included -comp_id -no -cii_date -od -content -speaker_name -web_link -time_length -review Improving research and information digestion efficiency: helps research teams instantly capture earnings call highlights, executive perspectives, and operational outlooks, significantly reducing the time spent organizing transcripts. Enhancing AI and thematic analysis capabilities: applies directly to AI summarizing, thematic deep-dives, tracking management tone shifts, and market sentiment analysis. Supporting quantitative and NLP research workflows: serves as a core data source for NLP, event-driven trading, thematic investing, and LLM research to drive quantitative depth and automation. TCRI Watch Dog Factor Library

Alternative Data

Factor Library – Taiwan’s Factor Dataset for Quantitative Investing

Over the past decades, quantitative investing has evolved from academic theory into a core pillar of modern investment management. Foundational models such as CAPM, APT, and the Fama-French multifactor framework have shaped how investors identify and quantify systematic return drivers—known as factors. These factors have since been embedded into institutional workflows, powering everything from alpha generation to portfolio construction and risk management. However, the proliferation of factors—often inconsistently defined or statistically fragile—has given rise to what researchers call the “factor zoo.” This phenomenon underscores the urgent need for structured, high-quality data and disciplined implementation frameworks. TEJ’s Factor Library was created in response to these challenges. It offers a robust, point-in-time (PIT) database featuring more than 100 academically grounded and locally adapted factors across 11 core categories. Built for practical deployment in the Taiwan stock market, the library empowers investors to accelerate research, build repeatable quantitative strategies, and generate more reliable alpha signals through transparent and consistent data. Yet even with a well-structured foundation, factor investing remains a complex discipline—especially when moving from theory to execution. The factor investing process—from data collection to strategy construction—is complex and resource-intensive (see Figure 1). Analysts must source data from multiple providers or crawlers, deal with inconsistent formats, and often face the lack of a point-in-time (PIT) structure—introducing risks like look-ahead bias. Figure1：Traditional Factor Research Workflow Preprocessing involves missing value handling, outlier detection, and aligning data by release timing—all technically demanding tasks. Designing factor logic requires extensive literature review, adapting definitions for local markets, and ensuring statistical validity. These challenges consume significant time and resources and introduce errors that can hinder research and replication. A well-structured factor database that incorporates PIT processing, academic rigor, and transparent methodology can greatly streamline the process and help investors focus on strategy innovation. TEJ’s Factor Library is a structured, point-in-time database designed to explain asset risks and returns through factor characteristics. It currently covers 11 major factor categories: Momentum, Dividend Yield, Value, Growth, Quality, Liquidity, Volatility, Size, Sentiment, Credit Risk and machine Learning. All data are processed with complete PIT alignment and traceability to eliminate forward-looking bias. Figure 2：TEJ Factor Library －11 Factor Categories Academic Foundations: Derived from global academic journals and institutional research, supplemented by TEJ’s proprietary analysis. Data Source: Built on TEJ’s investment-grade database, fully point-in-time. Localization: Adjusted from academic definitions for relevance to Taiwan’s stock market. Factor Count: Over 100 factors, including academic and machine-learning-based factors. Category Description Momentum Captures the persistence in both price and fundamental performance of a firm. Dividend Yield Captures the excess returns associated with high-dividend stocks and reflects a firm’s dividend policy and capital return strategy. Value Reflects undervaluation relative to fundamentals and potential for excess returns. Growth Reflects the growth potential of a company’s earnings and revenues, and captures excess returns from high-growth stocks. Quality Reflects a company’s financial strength and operational soundness, and captures excess returns from high-quality stocks. Liquidity The liquidity factor measures trading ease. Stocks with lower liquidity often entail higher costs, leading to potential excess returns. Volatility Measures the uncertainty in stock prices or returns, and captures the excess returns associated with low-risk stocks (as measured by volatility, beta, or idiosyncratic risk). Size Captures the relationship between a firm’s market capitalization and its returns. Sentiment Captures the impact of investor behavior and psychological expectations on stock prices. Credit Risk Measures the probability of corporate default or bankruptcy. Machine Learning Utilizes statistical algorithms and AI techniques to extract non-linear features and complex patterns from high-dimensional data, aiming to enhance asset pricing or return prediction accuracy. Table 1: Description of the 11 Categories in the Factor Library (2026 updated) The value of the Factor Library extends beyond data provision—it enables diverse applications across the investment lifecycle. Depending on the strategy, investors can deploy single or multiple factors for stock selection, risk assessment, and model construction. Factor-Based Stock Selection: By filtering stocks based on one or multiple factor metrics, investors can identify equities with specific desired characteristics. This helps narrow down the investable universe and improves the precision and efficiency of the stock selection process. Quantitative Investing: Researchers can use factor data to develop entirely new investment strategies or refine existing ones. By integrating selected factors into systematic models, they can better capture specific risk premia and alpha signals—ultimately enhancing portfolio return potential. Risk Analysis: Factor data can be used to assess the underlying risk profile of individual securities or entire portfolios. This enables investors to strengthen their risk control frameworks and make more informed asset allocation decisions. Stock Universe Definition: Based on liquidity and size. Factor Testing & Selection: Identify effective factors. Model Construction: Standardize and weight selected factors (e.g., Z-score method). Strategy Execution: Define rebalancing and portfolio rules; execute trades accordingly. Figure 3: Cumulative Return of a Factor Strategy – highlighting how factor data supports performance backtesting to discover alpha-generating strategies. In today’s market environment—characterized by an explosion of factors and widening information gaps—researchers often find themselves bogged down by labor-intensive processes such as data preparation, validation, and ongoing maintenance. These challenges make it difficult to focus on strategic optimization and backtesting. The TEJ Factor Library was explicitly designed to solve these pain points. Its data service emphasizes academic rigor, practical relevance, and completeness in update frequency, data structure, and usability. It also serves as a high-quality market data service that facilitates advanced quantitative data analysis. Factors are specifically designed for the Taiwan market, incorporating local trading behaviors such as margin financing, broker activity, and institutional flows, enabling the capture of market microstructure and behavioral patterns often missing in global datasets, and allowing investors to identify Taiwan-specific inefficiencies and generate more differentiated alpha signals. All factors are constructed under a strict Point-in-Time framework, preserving historical data versions and aligning with actual data availability, ensuring the elimination of look-ahead bias and consistency between backtesting and live trading environments, thereby improving the reliability and credibility of research results and reducing model risk in investment decision-making. The dataset provides 116 pre-calculated factors across 11 categories in a standardized, research-ready format, removing the need for data cleaning, factor construction, and alignment across multiple sources, and enabling researchers to focus on alpha generation rather than data engineering while significantly accelerating the overall research process. Factor Code mom52wh Factor Name Momentum Factor (52-Week High) English Name 52-Week High Momentum (MOM52WH) Category Momentum Subcategory Price Momentum Expected Direction Positive Reference George, T.J., & Hwang, C. (2004). The 52-Week High and Momentum Investing. Journal of Finance, 59(5), 2145–2176. Calculation Method Adjusted closing price of the day divided by the highest adjusted price over the past 252 trading days. Table 2: Sample Factor Description TEJ’s Factor Library empowers investment teams with high-quality, standardized, and traceable factor data, bridging the gap from data acquisition to live strategy execution. It’s not just a research tool, but a strategic asset—enabling alpha discovery, model backtesting, and risk management. By combining academic insights with local market practices, and supporting over 100 factors across 11 categories with PIT structure and daily updates, TEJ provides the robust infrastructure required to navigate the expanding world of factor investing. In an era of market uncertainty and data explosion, only those with access to verifiable and flexible factor systems can stay ahead in the quant investing landscape. TEJ’s commitment to innovation, accuracy, and usability positions the Factor Library as an indispensable resource for investors aiming to transform data into performance. How Dividend Policy Affects Investment: An Event Study Analysis of Key Factors Unlocking Market Insights: Comparing Three Strategies Based on Directors’ Shareholding Data Unlock Taiwan Alpha－ Download TEJ Factor White Paper

Financial Data

Financial Statements

Financial statement data provides a detailed view of a company’s financial performance, condition, and cash flow over a specific period. Sourced from 3 key reports—the income statement, balance sheet, and cash flow statement—these data offer insights into profitability, financial health, and cash management. They serve as the foundational resource for understanding a company’s operations and financial stability. Item Information Frequency Quarterly Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Included listed and delisted companies in Taiwan. The number of listed companies is around 1700 Historical Period From 2013/01/01 Fields Included -Assets -Debts -Shareholder’s Equity -Operating Revenue -Cost -Earnings Per Share (EPS) -ROA -ROE Financial statements are crucial for evaluating a company’s financial performance, health, and cash flow over a specific period. They offer key insights into profitability, financial stability, and cash management. By analyzing detailed data from the income statement, balance sheet, and cash flow statement, investors and decision-makers can assess a company’s overall condition, make informed investment choices, and develop effective strategies. Warren E. Buffett’s Value Investing – TEJ Kenneth L. Fisher Growth Stocks Strategy Contact Us

Financial Data

Forward-looking Statement

Forward-looking financial data provides valuable insights into the expected performance of Taiwan listed companies, allowing analysts to understand projected revenue, profit, and key financial metrics. Item Information Frequency Quarterly Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Included listed and delisted companies in Taiwan. The number of listed companies is around 1700 Historical Period From 2013/01/01 Fields Included -Announced Date -Net Sales -Gross Profit -Operating Income -Net Income -Earning Per Share Forward-looking statements provide real-time financial insights, giving investors an early advantage before the CPA-audited reports are available. However, since they are unaudited, careful analysis is required for interpretation. These data help assess a company’s operational performance ahead of financial statements, enabling strategy adjustments. Chung Fu’s Delisting Crisis Ⅰ: Repeated Financial Reporting Errors Bring Delisting Closer! Chung Fu’s Delisting Crisis II: Skyrocketing Asset Values and Escalating Ownership Dispute! Contact Us

Product Introduction

Institution Buy and Sell-Taiwan

The trading volume of the three major institutional investors in Taiwan accounts for about 40% of the overall Taiwan stock market. Find QFII/funds/dealer net buy & sell in Taiwan market to observe their behavior of the stock transactions. Identify market trends by tracking the trading data of institutional investors with this data. Item Information Frequency Daily Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Included listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Security Code -Dealer Buy -Dealer Net S/B -Dealer Sell -Fund Buy -FundI Sell -Fund Net S/B -Date -Security Name -QFII Buy -QFII Net S/B -QFII Sell The trading data of the three major institutional investors supports capital flow analysis, strategy formulation, and impact assessment. By tracking institutional buying and selling behavior, users can identify market capital preferences, analyze fund flows, and forecast stock price trends. Additionally, evaluating the scale and behavior of institutional trades provides insights into their impact on stocks and market fluctuations, aiding in optimized decision-making. Which industries did three primary institutional investors invest in Taiwan? Trading Strategy by Keeping an Eye on Big Players

Product Introduction

Long-term Investment

Long-term Investment data provides insights into a company’s strategic asset allocations, revealing its investment in subsidiaries and other entities. This data helps assess corporate expansion strategies, financial stability, and growth potential. By analyzing long-term holdings, investors gain a clearer picture of a firm’s risk exposure and future prospects. Item Information Frequency Source Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Subsidiary Name -Shares -Holding (%) -Book Value -Reinvestment Income(Acc) -Nation This data is essential for evaluating a company’s diversification strategy, profitability from reinvestments, and financial health. Investors use it to assess a firm’s stability and potential risks, while analysts leverage it for valuation modeling and sector comparisons. Financial institutions rely on it to conduct due diligence, optimize portfolio allocation, and ensure compliance. Understanding long-term investments aids in predicting corporate earnings trends, competitive positioning, and market expansion strategies. Negative Screening: Striking the Balance Between Your Beliefs and Portfolio Returns Michael Sivy’s 4 Key Income Investing Principles Unveiled Contact Us

Market Data

Margin Trade – Taiwan

In Taiwan, retail investors use margin trading to amplify investments, borrowing funds to buy stocks when bullish or borrowing stocks to sell when bearish for profit. As legal restrictions limit margin trading to qualified domestic individuals, its data serves as a key indicator of retail investor sentiment, unlike institutions that primarily use SBL for similar purposes. Item Information Frequency Daily Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Company Code -Company Name -Long PSTN BAL(1000S) -Bought on Margins(1000S) -Sold for Return(1000S) -Cash for Return(1000S) -Long Limit(1000S) -Short PSTN BAL(1000S) -Bought for Return(1000S) -Short Sale(1000S) -Stock for Return(1000S) -Short Limit(1000S) Margin trading data in the stock market is primarily used to observe retail investor behavior. By analyzing leverage usage and tracking changes in margin buying and short selling balances, it helps gauge market sentiment regarding bullish or bearish trends. When a stock’s margin buying or short selling balance peaks, the data can also monitor potential risks, such as short squeezes or covering pressures. Additionally, when combined with positioning and technical analysis, margin trading data supports investors in crafting precise short- and medium-term trading strategies, providing valuable insights into market dynamics. Margin Trading (1) Margin Trading (2) Margin Trading (3)

Product Introduction

Market Risk Analysis (Censrisk™)

High data integrity and extensive database sources with high market usage. Measurement methods that can be traced back to appropriate transaction records. Automatic sample selection when there is insufficient data for calculation. High transparency of models with intermediate validation processes, including sensitivity analysis. High flexibility in parameter settings and model usage, allowing for quick configuration and calculations. Multiple risk reporting designs for easy management and analysis. Users can create custom report groups according to their preferences. User-friendly interface available in three languages. Two educational training sessions, including risk breakdown for various assets, and comprehensive technical manuals. Ongoing research by the TEJ Risk Management Department. Customizable permission control based on different needs. Users can set up their accounts based on functional requirements, as follows: Highest permission: Administrator (1 person) Second-highest permission: Operator (2 people) Lowest permission: Reader (10 people) Account creation and deletion Position and calculation settings Authorization and sharing of positions View all account position settings and calculations Position and calculation settings Authorization and sharing of positions Authorization and sharing of positions limited to viewing shared position calculation results The system currently supports two major categories of calculation methods: Variance-Covariance Simple Moving Average Method Variance-Covariance Exponential Moving Average Method Variance-Covariance Weighted Moving Average Method Variance-Covariance GARCH Variance-Covariance IGARCH Variance-Covariance TGARCH Multifactor Analysis Method Historical Simulation Method Monte Carlo Simulation Method (GBM, Vasicek) Conditional Value-at-Risk Fixed Position Review Test Stress Test Daily Position Review Test Binomial Distribution Test Likelihood Ratio Test Sample Statistical Test Spot – Securities Spot – Interest Rate Spot – Foreign Exchange Listed stocks Over-the-counter stocks Emerging stocks International stock price indices Domestic funds Overseas funds International stocks 1 Government bonds Corporate bonds (fixed, floating, reverse floating) Monetary instruments (loans, deposits, receivables) Convertible bonds Perpetual bonds Overseas bonds Exchange rates Derivative products – Securities Derivative products – Interest Rate erivative products – Foreign Exchange Derivative products – Commodities Options 2 Index futures 3 Stock futures Interest rate swaps Forward rate agreements Currency swaps 10-year government bond futures 30-day interest rate futures Interest rate options (upper limit, lower limit, range) Equity-linked bonds Convertible bond asset swaps Asset Securitization – MBS and CMO Bond options Overseas convertible bonds Overseas convertible bond asset swaps Forward foreign exchange transactions Currency swaps Foreign exchange options New Taiwan Dollar gold futures Gold options Note: Overseas stocks include China, Hong Kong, the Philippines, Malaysia, South Korea, Singapore, and Thailand. Options include call warrants, Taiwan index options, individual stocks, financials, electronics, MSCI, over-the-counter, and non-financial electronics. Index futures include major Taiwan index, mini Taiwan index, financials, electronics, Taiwan 50

Financial Data

Monthly Sales

Gain real-time insights into Taiwan listed companies’ monthly revenue performance before financial reports are released.Taiwan listed companies disclose the previous month’s sales figures by the 10th of each month. Item Information Frequency Monthly Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Included listed and delisted companies in Taiwan. The number of listed companies is around 1700 Historical Period From 2013/01/01 Fields Included -Announcement Date -Security Code -Sale-Monthly -Sale-Monthly, Last Year -YoY%-Monthly Sale -MoM%-Monthly Sale -Sale-Accumulated -YoY%-Acc. Sales Monthly revenue data enables more frequent and timely assessments of a company’s sales performance, allowing for regular monitoring of its financial condition. This helps investors analyze trends and make necessary adjustments to their investment strategies in a more agile and informed manner. Monthly sales growth rate application strategy Revenue Numbers Don’t Lie: How to Gain Insight into Stock Price Movements from Quarterly Reports

Product Introduction

PRIS Financial Asset Valuation Tool

PRIS, specializing in the financial industry, provides comprehensive portfolio valuation and consulting services. Currently, the assessed asset scope primarily focuses on bonds and interest rate products (CBAS, FRCP). The system not only calculates theoretical prices, interest rate spreads, and individual unit risk values but also provides important data related to asset valuation. PRIS also offers professional asset valuation consulting and customized valuation system development project services. Asset Valuation Service Systematic Customized Valuation System Development Professional Asset Valuation Consulting Four Major Service Features Key Benefits: Accurate asset valuation models Customized system development Professional asset valuation consulting services Key Advantages: Expert asset valuation team Systematic valuation approach Customized valuation projects Key Features: Fully automated operations Comprehensive financial industry portfolio valuation Customized valuation reports to meet various needs Daily Valuation Posting: PRIS provides a daily valuation for all products Automated process completed before the end of each workday Quarterly Financial Report Disclosure: Comprehensive model description and valuation reports Integration of methodologies, valuation, and risk assessment Advisory Consultation Services: Professional asset valuation consultants from TEJ Tailored development of valuation models

Product Introduction

SBL Information-Taiwan

SBL Information offers insights into securities borrowing activities, providing data on loan balances, fee rates, and volumes that reflect market demand and short-selling trends. Unlike margin trading data, which primarily captures retail investors leveraging funds, SBL data emphasizes institutional activities involving direct securities borrowing, offering a clearer view of their strategies and market impact. Item Information Frequency Daily Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Security Code -Security Name -Announcement date -OD -Transaction type -Volume traded -Fee rate -Close Price -Date returned -Borrowed days Securities Borrowing and Lending (SBL) offers key insights into market sentiment and capital flow. High borrowing balances signal strong demand for short selling or hedging, indicating potential price pressure or volatility, while high fees reflect supply scarcity. As institutions rely on SBL, its data reveals their strategies, aiding investors in tracking trends and optimizing investment decisions. Does Short Selling Get High Returns? What is Day Trading ? TEJ Guides You Through The Basics From The Ground Up Contact Us

Market Data

Share Distribution

Share Distribution data is a dataset published by the Taiwan Depository & Clearing Corporation that classifies investors into 15 groups based on the number of shares held. This information reveals the shareholding ratios and number of shareholders for each group to observe investor behavior. By analyzing these distributions, the data can be transformed into quantitative factors to predict the relationship between investor trading behavior and expected stock returns. Item Information Frequency weekly Source TDCC(Taiwan Depository & clearing corporation) Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2016/01/01 Fields Included –Company Code –Company Name –Date -No. under TDCC (Total Shareholders) -Shares under Custody (Total Shares)Share Distribution Statistics (for 15 Groups): –Shareholder Tiers (e.g., 1-5, 5-10, 100-200, 1000+ shares) -Number of Shareholders (No.) –Number of Shares (KShares) –Ownership Percentage (%) Share distribution data helps investors monitor market position structures and equity concentration to identify the movements of major shareholders and retail investors. By tracking indicators like blockholder ownership breadth and retail speculation, investors can assess whether a stock is overheated. By monitoring weekly changes in large shareholder positions, investors can identify optimal entry points. After calculation, individual stock risk and entry indicators are provided, offering valuable insights for informed decision-making. Series 1 Series 2

Event-Driven Data

Shareholders’ Meeting

With the growth of Taiwan’s financial market, the number of listed companies has been increasing, reflecting the vibrancy of Taiwan’s capital market and the expansion of corporate scale (see the chart below). In this context, shareholders’ meetings are not only a crucial aspect of corporate governance but also an important event for investors. These meetings determine the future direction of the company and involve critical decisions such as dividend distribution, capital increase or reduction, all of which directly impact investment returns. Understanding the full process—from shareholders’ meeting resolutions to dividend distribution—is essential for investors to grasp key corporate developments and make informed decisions. TEJ’s “Shareholders’ Meeting Information” provides comprehensive data related to shareholders’ meetings, covering key details such as meeting dates, agenda items, dividend distribution, and board elections. The data helps investors gain in-depth insights into corporate operations and future development strategies. Additionally, with TEJ’s real-time data updates, investors can ensure the timeliness and accuracy of their investment decisions. Chart 1, Number of Listed(TSE and OTC) Companies in Taiwan (2010–2024) Data Source:TEJ 👉Get related database from TEJ Event-Driven Data In Taiwan, listed companies must comply with the relevant provisions of the Company Act and the Regulations Governing the Administration of Shareholder Services of Public Companies when convening shareholders’ meetings to ensure shareholder rights and market transparency. Shareholders’ meetings in Taiwan are mainly categorized into annual general meetings (AGMs) and extraordinary general meetings (EGMs). According to regulations: AGMs must be held within six months after the end of each fiscal year to deliberate on key matters such as financial statements, profit distribution, or loss offsetting. EGMs are convened when necessary. Additionally, companies are required to suspend share transfers within the following periods to confirm shareholder registries and holdings: Within 60 days before the AGM date (T date) Within 30 days before the EGM date Shareholders who wish to participate must complete their share transfer procedures within the specified timeframe. For detailed legal provisions and timelines, please refer to the chart below. Chart 2, Timeline of Shareholders’ Meeting (Annual / Extraordinary) From the timeline chart above, it is evident that in the first half of each year, information disclosures from listed companies are continuous. Key announcements—such as dividend distribution, board director and supervisor elections, candidate list releases, changes to meeting proposals, and ex-dividend dates—all significantly impact stock prices, ETF selection, board decisions, and investor interests. For instance, Delta Electronics (2308) is scheduled to hold its shareholders’ meeting on May 30, 2024. According to regulations, share transfers must be suspended within 60 days before the meeting, which means the suspension period is from April 1 to May 30, 2024. Shareholders must complete their share transfers by March 29, 2024, to be eligible to participate in the meeting. The chart below illustrates that from February until the ex-dividend date, all shareholder-related announcements are recorded and flagged in the TEJ “Shareholders’ Meeting Information” database. Users can filter and utilize data through various database fields for efficient analysis and application. Chart 3, Delta Electronics 2024 Shareholders’ Meeting Schedule From the timeline chart above, it is evident that in the first half of each year, information disclosures from listed companies are continuous. Key announcements—such as dividend distribution, board director and supervisor elections, candidate list releases, changes to meeting proposals, and ex-dividend dates—all significantly impact stock prices, ETF selection, board decisions, and investor interests. For instance, Delta Electronics (2308) is scheduled to hold its shareholders’ meeting on May 30, 2024. According to regulations, share transfers must be suspended within 60 days before the meeting, which means the suspension period is from April 1 to May 30, 2024. Shareholders must complete their share transfers by March 29, 2024, to be eligible to participate in the meeting. The chart below illustrates that from February until the ex-dividend date, all shareholder-related announcements are recorded and flagged in the TEJ “Shareholders’ Meeting Information” database. Users can filter and utilize data through various database fields for efficient analysis and application. Market Observation Post System (MOPS): For accessing major announcements and public disclosures. Shareholders’ meeting date, location, major proposals, and start and end dates of share transfer suspension for TSE, OTC, and emerging market companies. Want to Learn More About Our Databases and Solutions? 👉 Explore more TEJ data products Data Integration – Stay Updated on Key Resolutions: TEJ integrates essential information, including shareholders’ meeting details (location, date, board election information), dividend policies (amount, ex-dividend dates), major proposals (capital increases, capital reductions, employee stock dividends), and daily stock prices. This helps investors quickly grasp company developments and effectively assess investment risks. Key Dates for Event Planning – Stay Ahead of Developments: TEJ tracks crucial dates related to shareholders’ meetings, including AGM and EGM dates, ex-dividend dates for cash dividends and capital changes, last share transfer dates, suspension periods, and short-sell repayment deadlines. This allows investors to strategically plan their investment actions and avoid missing important events. Cumulative Annual Dividends – Accurate Yield Comparison: TEJ calculates cumulative cash dividends based on the dividend policies of Taiwan’s listed companies, whether distributed quarterly, semi-annually, or annually. The database presents the actual payout amounts up to the current quarter, enabling investors to compare dividend distributions across periods or companies and assess each company’s long-term return capacity and stability. TEJ “Shareholders’ Meeting Information” provides key dates before and after shareholders’ meetings, including the start and end dates of share transfer suspension, margin trading suspension dates, and short-sell repayment dates, helping investors stay informed about meeting developments. Table 1, Important dates for shareholders’ meetings: Shareholders’ Meeting Date The scheduled date for annual general meetings (AGMs) and extraordinary general meetings (EGMs). Board Meeting Date The date when the board of directors resolves to convene the shareholders’ meeting. Share Transfer Suspension Period (Start and End Dates) The period during which share transfers are suspended, starting within 60 days before  the AGM to confirm the shareholder registry. Last Share Transfer Date The final date for shareholders to complete share transfers to be eligible to participate in the meeting. Margin Trading Suspension Period  The timeframe when margin trading is suspended in relation to the shareholders’ meeting. Resumption Date for Margin Trading The date when margin trading is allowed to resume. Last Day for Short-Sell Buyback The final date by which investors must buy back shares to cover their short positions. Ex-Dividend Date The date when a company’s stock trades without the right to receive dividends, including cash dividends, stock dividends, capital increases, reductions, and GDR ex-dividend dates. Note: Starting from March 16, 2015, the restriction on suspending margin purchases prior to the share transfer suspension period has been lifted. Comprehensive Data Integration – Stay Updated on Key Resolutions TEJ’s database provides detailed information and dates related to major proposals discussed during shareholders’ meetings, such as cash capital increases, private placements, GDR issuances, and capital reductions, ensuring investors stay informed and do not miss important decisions. STARLUX Airlines (2646) held its shareholders’ meeting on June 14, 2024, where a proposal for a public offering of new shares as part of its initial capital increase prior to listing was discussed and approved. The proposal included a resolution for existing shareholders to waive their preemptive rights. Following the shareholders’ meeting, the company initiated the required procedures for the cash capital increase and disclosed major announcements on the Market Observation Post System (MOPS). Key highlights of the capital increase announcements are as follows: August 28, 2024: The board of directors resolved to issue a total amount of NT$4.7 billion. October 1, 2024: The company announced the ex-rights date for the capital increase as October 21, 2024, along with the payment schedule (refer to TEJ’s Capital Formation Database for details). October 11, 2024: The company announced the subscription price for the capital increase at NT$20 per share. All detailed information regarding this capital increase will be included and presented in the TEJ “Shareholders’ Meeting Information” database. Private placement refers to a company seeking investments from specific institutional or large-scale investors for purchasing its newly issued securities. This approach helps reduce underwriting and administrative costs, shortens the fundraising timeline, and efficiently achieves capital-raising objectives. For example, Alchip-KY (3661) held its shareholders’ meeting on May 30, 2024, where a proposal for conducting a private placement of common shares was discussed and approved. The key details are as follows: The total private placement quota is set at no more than 1,000,000 shares. The private placement can be conducted in a single tranche or up to three separate tranches within one year from the date of the shareholders’ resolution. All relevant announcements regarding this private placement will be included and presented in the TEJ ” Shareholders’ Meeting Information” database. Capital reduction is a method for companies to adjust their capital structure. It can be categorized into three types: cash capital reduction, treasury stock capital reduction, and loss offset capital reduction. According to Article 172, Paragraph 5 of the Company Act, capital reduction proposals must be listed in the agenda of the shareholders’ meeting with a clear explanation of their main content and cannot be proposed as an ad-hoc motion. The following explains capital reduction cases mentioned in shareholders’ meetings and how they are recorded in the TEJ “Shareholders’ Meeting Information” database. Innolux Corporation (3481) held its shareholders’ meeting on May 31, 2024, where the proposal for a cash capital reduction was discussed and approved. After the shareholders’ meeting, the company proceeded with the necessary procedures for the capital reduction and announced the relevant information on the Market Observation Post System (MOPS). Key excerpts from the capital reduction announcement are as follows: On July 10, 2024, the company announced the capital reduction record date and the share exchange plan, stating that the capital would be reduced by NT$10,894,360,010 with a reduction ratio of 12%. Shareholders would receive a cash refund of NT$1.2 per share (for details, refer to the TEJ Capital Formation Database). Les Enphants (2911) held its shareholders’ meeting on May 24, 2024, where the proposal for a capital reduction to offset losses was discussed and approved. After the shareholders’ meeting, the company proceeded with the necessary procedures for the capital reduction and announced the relevant information on the Market Observation Post System (MOPS). Key excerpts from the capital reduction announcement are as follows: On August 1, 2024, the company announced the capital reduction record date and the share exchange plan, stating that the capital would be reduced by NT$350,419,990, with a reduction ratio of 25% (for details, refer to the TEJ Capital Formation Database). The complete information regarding this capital reduction will be recorded and presented in the TEJ ” Shareholders’ Meeting Information” database as follows. Dividend Policy Information Approved by the Shareholders’ Meeting The TEJ “Shareholders’ Meeting Information” provides information on the dividend policy resolutions passed during each shareholders’ meeting and accumulates the annual dividend amounts. This facilitates comparisons over different periods or across companies based on an annual frequency. The example below shows TSMC (2330) and its quarterly dividend distribution for 2024. In the fourth quarter, a dividend of NT$4.5 per share will be distributed, with the ex-dividend date set for June 12, 2025. The accumulated annual cash dividend for 2024 amounts to NT$16.99977526 per share. Statistics show that in 2024, there were over 76,000 major announcements made by listed companies on the Market Observation Post System (MOPS), with more than 41,000 of these announcements occurring during the peak shareholders’ meeting season in the first half of the year. TEJ conducts daily screening, categorizing, and organizing of nearly a thousand announcements, transforming them into actionable information for investors. The TEJ “Shareholders’ Meeting Information” database not only helps investors stay updated on shareholders’ meeting resolutions, dividend policies, and market trends but also serves as a valuable data source for quantitative investment strategies. By providing comprehensive and structured information, the database supports various investment strategies, including dividend arbitrage, event-driven trading, and corporate governance analysis, enabling investors to gain deeper market insights and make more informed investment decisions.

Fundamental Data

Shares Structure

Shares Structure Data provides insights into a company’s equity distribution, highlighting ownership concentration and stakeholder influence. It helps assess corporate governance, control dynamics, and investor composition, offering a crucial perspective on market positioning and potential shareholder impact. Item Information Frequency Yearly Source MOPS Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Shares -Shareholdings of Government -Banking -All Dir&Sup&Mgr -Person -Foreign Institutions -Foreign Total This data supports investment analysis, risk assessment, and regulatory compliance by revealing ownership patterns and control risks. Investors use it to gauge insider influence, institutional confidence, and foreign participation, while financial analysts leverage it for corporate valuation and market trend analysis. It aids businesses in strategic decision-making, M&A planning, and shareholder engagement. 2024 New Independent Director Regulations hits the road! What impacts may be led to? Stock Selection Factors Research: Combining Insider Ownership and Momentum Factors

Market Data

Stock Price- Taiwan

The TEJ Database provides detailed daily stock prices and financial ratios, offering a robust foundation for analyzing stock performance and market trends. With coverage spanning all Taiwanese listed companies. Item Information Frequency Daily Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) As for other stock market price data collect from the local exchange of the market. Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Open -High -Low -Close -Volume -Amount -Return% -P/E -P/B The Stock Price Database is a versatile tool used in investment analysis, risk management, industry research, and market monitoring. It supports trend analysis, technical indicator calculations, and valuation, helping investors optimize strategies and asset allocation. Additionally, it tracks price volatility, identifies abnormal transactions, enables industry comparisons, and monitors index trends. Is There an Olympic Market Trends? Analyzing the market trends of Taiwanese stocks and industrial stocks during the Olympic Games Using TEJ API TQuant Lab Loss Aversion Strategy — Average True Range

Market Data

Taiwan daily corporate announcements full-text

Taiwan daily corporate announcements full-text data provides daily Material Information directly from Taiwan’s official Market Observation Post System (MOPS). This dataset provides full-text corporate announcements from all TWSE and TPEx-listed companies, paired with a bilingual (Chinese/English) mapping of regulatory paragraph categories. By offering a clean, reliable, and standardized data feed, it enables institutional investors to build automated data pipelines and effortlessly stay on top of the latest corporate developments in Taiwan. Item Information Frequency Irregularly Source MOPS Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -Company Code -Announcement date -Serial Number -Announcement Time -Article -Paragraph -Event date -Subject -Content Corporate Risk & Event Tracking: Instantly receive daily corporate disclosures and utilize granular paragraph classifications to assess the materiality of each event, helping investors monitor shifts in corporate operations and credit/compliance risks. NLP & Sentiment Analysis: The comprehensive, full-text coverage of announcements serves as a high-quality data source for training Natural Language Processing (NLP) and sentiment analysis models. Event-Driven Alpha Strategies: Delivers the foundational data required for Event-Driven Strategies, allowing quantitative funds to capture market-moving news (such as earnings surprises, major litigations, or regulatory compliance events) in real-time.

Credit Risk Solution

TCRI™ Watchdog

In the Taiwan stock market, while structured data such as financial reports and price information are complete and highly real-time, short-term stock price fluctuations are often driven by “events.” From announcements and regulatory news to media reports, this unstructured information rapidly influences investor’s expectations and capital flows, yet it remains difficult to capture effectively using traditional quantitative methods. Identifying influential signals from a vast array of events and extracting actionable signals from events and converting them into backtestable investment factors has always been a key threshold for quantitative research. TEJ developed the TCRI Watchdog (WD) database to transform unstructured information into structured alternative data through a systematic classification and scoring mechanism, assisting researchers in effectively capturing alpha and strengthening forward-looking risk judgment. TCRI Watchdog (WD) processes unstructured information (such as news and announcements) into a structured alternative dataset, featuring consistent and comparable Event Scores (-3 to +3) based on their impact on corporate credit risk. Through systematic event definitions and automated quantitative processes,it converts raw narratives into quantifiable event signals suitable for backtesting and alpha generation. Includes historical records from 2019  for all listed and OTC companies in the Taiwan market, including delisted companies. Data is integrated from three major sources: Material information from the Market Observation Post System (MOPS). Official sanctions from regulatory agencies such as the Financial Supervisory Commission (FSC) and the Ministry of Economic Affairs. Mainstream financial media reports. Event scores range from -3 to +3. Negative values represent potential deterioration in credit risk, while positive values represent risk improvement or operational benefits. The larger the absolute value, the more significant the event’s impact on corporate risk. All events are categorized into the following 5 dimensions and over 100 subcategories, constructing a quantifiable credit event framework. Each event is classified through collaboration between analysts and AI models based on its impact on corporate operations and credit risk: Table 1: 5 Dimensions of TCRI Watchdog Events   Code Event Category Meaning Sub-classification Examples A  Accounting Events related to financial reporting, accounting treatments, and disclosure practices, reflecting financial transparency and stability. Alleged Fraud of financial report,  Restatement of financial report Total：13 subcategories I  Industry Events related to operating environment, capacity, costs, R&D progress, and financing, revealing operating momentum and industry trends. Issues of suppliers or agency, The loss of important talents Total：27 subcategories M  Management Events involving corporate governance, board and executive changes, internal or external fraud, labor disputes, information security, and internal control deficiencies, reflecting governance and management stability. Suspicion of embezzlement or hollowing out of assets, Executive changes Total：41 subcategories F  Market Trading Events related to capital market trading, rating changes, abnormal price movements, and listing status, reflecting market perceptions of credit and liquidity. Stock price manipulation, insider trading, Cross Shareholding Total：12 subcategories R  Crsis Events involving financial distress, default, delisting, or restructuring, representing the most direct signals of credit risk. Rumored financial crisis, Bankruptcy Total：22 subcategories This framework establishes a unified standard, allowing investors to efficiently evaluate and compare various market events, ranging from individual stock risk monitoring to overall market risk sentiment assessment. Data is delivered via API or FTP for automated transmission. Figure1: TCRI WD data sample  As shown in the data sample, WD precisely defines fragmented market announcements as structured records featuring Event date, Event Score, and Event classification. According to Figure 2, the system generates an average of over 3,500 structured credit signals monthly. This steady, high-density data stream is ideal for quantitative modeling and stress testing due to its frequency and depth. Figure 2: Monthly distribution of TCRI Watchdog events    Source：TEJ TCRI WD database  Period：Jan 2023~ Dec 2025    The failure of quantitative strategies often stems from underlying data containing too much noise unrelated to credit risk, causing true early-warning signals to be diluted or obscured. TCRI Watchdog (WD) assists research teams in skipping tedious data cleaning to focus on alpha mining, while enabling investment teams to integrate event risks into decision frameworks for better precision and efficiency.  Provides a standardized scoring system from -3 to +3 for diverse unstructured events. This solves the difficulty of cross-sectional comparisons caused by a lack of quantitative benchmarks in original announcements.  Filters core information relevant to corporate operations through automated algorithms and dual review by the TEJ professional team. Unlike generic AI tools, WD strictly removes emotional noise, significantly reducing manual labeling time for analysts. Strictly follows the PIT architecture, recording the precise timestamp of every event disclosure and including historical data of delisted companies. This eliminates look-ahead bias and survivor bias in backtesting, ensuring model authenticity. According to TEJ’s ten-year backtest, market reactions to non-financial information depend on the event’s category and intensity rather than news volume. Empirical evidence shows a significant “advance reaction” to strongly negative news (e.g., -3 points). Stock prices often show abnormal declines before the news is officially reported, with the downward trend expanding further after disclosure. 👉Category “N” full version: TCRI Watchdog “N News Media” Events Part1  Market reactions to management and governance announcements are not instantaneous. Even if news leaks beforehand, stock prices continue to fall following the official announcement.   Turning Alternative Data into Alpha Signals!   WD transforms events into structured data and quantitative factors, allowing alternative data to be integrated into models and backtests. Investors can adjust positions before the market fully reflects the information, turning event signals into forward-looking alpha.   👉Contact us for a free trial 

Product Introduction

TCRI™_Taiwan Corporate Credit Risk Index

In order to grow the business, the current business operators are bolder than in the past, and the financial leverage is generally higher. With the development of technology, the life cycle of products has been shortened, price fluctuations and the frequent entry and exit of competitors have increased business risks. In addition, the development of the financial commodity market is booming, and the degree of participation by corporate operators has increased greatly. Therefore, in addition to financial operating information as a reference for corporate credit risk performance, changes in corporate management are also regarded as one of the clues to the future trend of corporate credit risk. Based on the market’s emphasis on corporate credit risk assessment, TEJ’s industrial research team developed the “TCRI Taiwan Corporate Credit Risk Index” (hereinafter referred to as TCRI) in 1991, which is an open, transparent and highly differentiated credit rating system based on a quantitative model and supplemented by professional manual interpretation. TCRI is widely recognized by most financial institutions for its high differentiation ability, stability of volatility, and comparability with large international credit rating agencies. Currently, the TCRI has become an important reference index for over 90% of Taiwan’s banking industry to measure credit risk in investment and lending. We adopt proactive ratings to keep an eye on the latest corporate developments and adjust credit risk ratings Uses public information as the basis; the information is public, complete, verifiable, and is not guided by companies. The scope of rating covers the majority of public companies, and the scope is much wider than any other domestic rating institution. Recognized as the most representative credit risk index by domestic academic and research institutions. TCRI™ is the main index adopted by banks when making lending decisions and has over 90% share in the domestic banking market. An important basis for securities firms to make investments. Recognized as the most representative credit risk index by domestic academic and research institutions. The effectiveness of TCRI™ rating results is periodically validated. Warning Ability: the discriminatory power and default rate validate whether or not the rating system can effectively distinguish between companies with different credit risks. Stability: deviation of rating results are examined for mid-term and long-term lending and investment decisions. TCRI is a semi-expert model to evaluate Public Companies. The methodology is transparent, and discriminatory, financial industry take this rating as a reference for investment and credit granting. The semi-expert model is mainly used based on a quantitative model and supported by manual determination. It is divided into three steps. Figure 1. TCRI Rating method and procedure The rating is divided into 1-9 levels, with low risk (1-4), medium risk (5-6), and high risk (7-9), and when the company is in default, it is labeled as D (Default). Figure 2. The Meanings of TCRI™ Rating Manual determination mainly includes the following three aspects: A： Accounting Information I ：Industry Prospective M ：Management Risk Verify the reasonableness of accounting estimates (accounting analysis and quality of financial statements; financial analysis). Consider the macroeconomic environment and industry trends, including the company’s competitive position in the industry. Evaluate changes in management, shareholding structure, investment strategy, and risk preferences. Table 1. Three Main Components of TCRI Manual Determination Start Managing Your Corporate Credit Risk of Investment and Lending Today! Contact Us TCRI uses a quantitative model to generate basic and threshold levels, and then makes limited corrections through manual interpretation. Due to the inclusion of manual interpretation in the rating process, the TCRI focuses on four points: accounting quality (A), industry outlook (I), operator risk appetite (M), and financial pressure (F). Overall ROC of the TCRI™ in the past 10 years was 88%-97% and an average of 93%, which surpasses the standard of 70% in the Corporate Credit Rating Model Technical Manual. The number of companies that default and default rate meet expectations. With a lower level (i.e., higher risk), the number of companies that default and the default rate increase. On average 70%-80% of levels are maintained for 1 year, which is near the standards of S&P and Moody’s. Also, the relatively high fluctuation of high-risk levels meets expectations. TCRI’s risk categories are consistent with those of external benchmarks. TCRI’s credit ratings are based on a quantitative model and manually assisted by a semi-expert process. The ratings are based on a combination of publicly available information (operating data, financial statements, etc.) of the companies evaluated, making the ratings more objective and independent. TCRI’s Corporate Credit Risk Index are based on a quantitative model coupled with a semi-expert program. According to the public information of the enterprise (financial accounting quality, industry outlook, risk appetite of the operators…), we conduct a comprehensive credit risk assessment. With the independent, fair and verifiable evaluation method, it is generally trusted by the financial industry in Taiwan for investment and credit extension. Start Managing Your Corporate Credit Risk of Investment Today!

ESG Sustainability Solution

TESG Event Radar

In the process of implementing responsible investment and responsible lending, financial institutions consider whether the investment and financing targets are involved in significant ESG controversies, both during the assessment and approval before investment/financing and the monitoring and management after investment/financing. However, these ESG events originate from various sources and occur at different times, making data collection challenging. Moreover, identifying these events among numerous targets and events requires significant manpower and time resources. To address the challenges of collecting ESG events and assessing their impact on companies, the TESG Event Radar provides users with quantified daily ESG event scores and offers individual event content and intensity analysis. This makes daily corporate ESG monitoring less challenging. The system includes ESG news and events of companies, categorizing events with labels E, S, or G based on their impact category. It provides daily event radar scores for each company, allowing real-time monitoring even during TESG Rating update gaps. Event Intensity Marking: Each event is annotated with an impact level score from -1 to -5, helping identify the severity of the events. Key Marking: Events involving penalties or convictions, executive sanctions, fair trade monopolies, etc., to understand the seriousness of each event. Reduce ESG event collection time and costs. Quickly discern the impact level of ESG events and mark key points to expedite ESG risk identification. Present all recent ESG events for companies in quantified numbers, simplifying daily ESG risk assessment tasks. Enhance daily ESG monitoring efficiency and intensity for companies. Assist in responsible investment with pre-investment assessment and post-investment ESG risk management and engagement. Support responsible lending with pre-lending assessment and post-lending ESG risk management. The “TESG Event Radar” comprises the ESG Event Database and ERS (Event Radar Score) for events. The ESG Event Database includes ESG news and events of Taiwanese companies. It analyzes the impact category (E, S, or G) of each event on the company and assesses the influence of the event on the company’s ESG performance, assigning an intensity score. Data Start Date: January 1, 2018 Data Frequency: Daily Included Companies: Taiwanese publicly listed companies and above Coverage: ESG-related events encompassing significant announcements, news media, and government public information, among others. Three key points of the ESG Event Database. The following explains the composition of the ESG Event Database structure: event classification, rules and methods for event intensity scoring, and specific attribute marking of events. the “Intensity” represents TEJ’s summarized scoring rules for different event contents within each event category. Each news event is given an intensity score ranging from 0 to -5. The lower the score, the more severe the event. For example, in the E dimension (Environmental), for an environmental event, if the event results in a fine of over 10 million NTD or leads to the removal or suspension of the Chairman or responsible person, it is assigned an intensity score of -4. In the S dimension (Social), for an industrial accident event, if the accident results in serious injuries to personnel, it is given an intensity score of -3. If it results in fatalities, it receives an intensity score of -4 or -5. In addition to the intensity scoring mentioned above, TEJ also determines whether an event is an extension of past events that occurred within the last six months. For example, if Taiwan Cement Corporation experienced a workplace safety event on 4/1, and subsequently, other legal events or penalty announcements are related to this initial event, TEJ marks the time of the initial event to help users track related information on the same event. Moreover, significant issues in ESG events, such as fair trade or anti-monopoly actions, outsourcing, fatalities, penalty amounts, executive sanctions, and convictions, are specially marked in the ESG event data. These markers assist in filtering and determining the severity of events for reference purposes. Similar events within the past six months and the initial event date. To avoid duplicate calculations of identical or similar events during scoring, each event is marked after it occurs. If the same event happens within the next six months, it will be annotated, and the initial date of the event will be provided to facilitate a comprehensive understanding of the event’s occurrence. Indication of the penalty amount. Regarding the mentioned events, TEJ specifies the penalty amount imposed by each regulatory authority and marks it as 9,000,000 NTD in the penalty amount field for users to understand the severity of the enforcement action. Indication of conviction sentence. In general, penalties imposed on corporate executives and employees are administrative fines determined by regulatory authorities and do not involve criminal convictions. On the other hand, criminal convictions are governed by criminal law and are considered more severe compared to administrative penalties. TEJ has developed a quantitative model based on the “TESG Event Radar – ESG Event Database” to transform discrete event data into continuous scores. The model primarily considers variables such as event intensity, event novelty, event occurrence frequency, and time to derive the daily “Event Radar Score (ERS).” Users can use the ERS score to quickly assess the level of ESG event risk associated with a company, compare it with peers, or track ESG event risk trends over a specific period. The daily ERS score is calculated using two main metrics: the intensity value of events and the frequency value of events. The event intensity score calculation takes into account event intensity, event information volume, event novelty, and time weighting. On the other hand, the event frequency score is based on the number of negative events that occurred within the past two months. The overall scoring framework is illustrated in the diagram. ERS Score Rating Framework The ERS scores range from 0 to -100, reflecting the current level of ESG event risk for a company. The interpretation of ERS scores is as follows: ERS score from 0 to -25 indicates low risk, and it is suggested that users may not need to pay significant attention. ERS score from -25 to -50 indicates moderate risk, and it is advised that users should continue monitoring the investment target. ERS score from -50 to -100 indicates high risk, and it is recommended that users proactively contact or alert the investment target, understand their response measures, and continuously monitor their improvement progress. Score intervals ESG event risk level 0~-25 Low risk -25~-50 Moderate risk -50~-100 High risk ERS score corresponding to ESG event risk level. Additionally, you can also observe the “Highest ERS Score in the Past Two Years” and “ERS Score Change in the Past One Month” to gain a better understanding of the company’s status. The “Highest ERS Score in the Past Two Years” reflects the company’s ESG event risk level in the past two years. If it is less than -50, it indicates that the company has been in a high-risk state in the past two years and requires special attention. The “ERS Score Change in the Past One Month” reflects whether the company has experienced significant ESG risk events in the past month. If the change is less than -25, it requires special attention. “ESG Event Database” enhances monitoring during the TESG rating update blackout period and addresses the issue of not considering event severity. When users observe various ESG events, they can quickly understand the severity of each event through the intensity score. The event categorization and auxiliary fields help users find relevant event details efficiently and serve as a basis for judging the event’s intensity. “Event Radar Score (ERS)” quantifies the originally unstructured ESG events and intensities. By analyzing changes in ERS scores, users can quickly identify companies that require monitoring and attention from numerous companies. Additionally, through the comprehensive information provided by the “ESG Event Database,” users can gain in-depth insights into event details, facilitating faster decision-making processes for responsible investment and responsible credit evaluation.

ESG Sustainability Solution

TESG Rating

– the ESG Indicator for Companies in Taiwan –  With more than 20 years of research experience in CSR and quantitative analysis, TEJ launched the ESG ratings of Taiwan-listed and OTC companies, TESG Rating, by Q1 of 2022! ESG-related implementation is the new emphasis for the evaluation of loans and credit businesses. All listed companies in Taiwan are included, and the data collected will compensate for the incompleteness of CSR reports. Ratings show a comparable result of ESG implementation of various companies in Taiwan and simplify due diligence of green finance. ● Comparable ratings for ESG implementation of enterprises in different industries. ● Comprehensive E/S/G issues and industry rankings for performing due diligence analysis. ● Consistent evaluation of sustainability for the fulfillment of green finance.

ESG Sustainability Solution

TESG Sustainability Dataset

In 2021, the Financial Supervisory Commission renamed the CSR report to the Sustainability Report, symbolizing a transition from CSR slogans to the practical implementation of ESG goals. Through these sustainability data, companies can disclose relevant information on the three major ESG pillars: “Environmental,” “Social,” and “Governance.” This increases transparency, allowing stakeholders to understand the planning and outcomes of a company’s sustainable development and operations. It also serves as an important basis for responsible investment and responsible lending by financial institutions. However, collecting and integrating various ESG information is time-consuming and labor-intensive. Moreover, measuring overall ESG performance solely through the Sustainability Report is too limited and is constrained by the annual data release cycle. “TESG Sustainability Dataset” encompasses over 20 publicly available ESG information sources, integrating and including them according to the international SASB sustainability accounting standards framework. This provides users with the most timely and convenient ESG database for inquiries. TESG Sustainability Dataset, based on the three major ESG dimensions: Environment (E), Social (S), and Corporate Governance (G). It includes ESG information from over 20 public sources and provides over 40 different ESG data sets, including information on carbon emissions, participation in international initiatives like SBTi or TCFD, director and employee compensation, board gender composition, patents, and more. Additionally, it is the most comprehensive ESG database in Taiwan, covering ESG information for all publicly listed companies and SMEs in Taiwan. It stays up-to-date with regulations and provides the latest and most extensive ESG data sets, making it the best quantitative indicator for measuring corporate ESG performance. The sample includes ESG information from all publicly listed companies in Taiwan, as well as small and medium-sized enterprises. Over 20 different public information sources (such as annual shareholders’ meeting reports, the Market Observation Post System, official websites, etc.), addressing the gap left by sustainability reports that are only published once a year. Referencing the international SASB framework, we’ve curated a robust ESG dataset with 40+ subcategories and 600+ data variables! Environment (E): Includes data on corporate carbon emissions, carbon trading prices, disaster risk classification (e.g., landslides, flooding), green bonds & sustainability bonds, and more. Social (S): Includes data on companies violating labor laws, salaries of grass-roots employees, ISO certifications, and more. Governance: Includes data on director and supervisor compensation, board gender composition, patent statistics and details, and other related information. Figure 1. TESG frameworks Get Ahead of the Curve on ESG Trend Improve your workflow with TESG Sustainability Dataset Today! TEJ ESG Sustainability Solution After analyzing the characteristics of various raw data, derivative and value-added statistics are conducted for different data orientations, facilitating inter-industry analysis and comparison. Collects ESG reports of all publicly listed companies in Taiwan, standardizing all ESG variables into industry sustainability metrics and compiling them to the database for easy cross-industry comparison and analysis. ESG TESG Variables CSR Disclosure Coverage of ESG Report (From 2021) Industry Sustainability Metrics Table 1. ESG variables and Reports statistic Raw Data: TEJ compiles over 600+ ESG variables from public sources, allowing users to easily perform statistics and further analysis. Visual Dashboards: In addition to statistical raw data, TEJ develops visual dashboards. These graphical presentations make it easy to compare and evaluate companies’ ESG performance. Figure 2. Visual Dashboards – Environmental (E) variables Figure 3. Visual Dashboards – Social (S) variables Figure 4. Visual Dashboards – Governance (G) variables TESG Sustainability Dataset, integrating and compiling all ESG variables from ESG reports. Support users in analyzing data, managing risk, and staying ahead of the curve with regulations. We are dedicated to providing you with high-quality databases: Utilizing the SASB framework, we’ve curated a robust dataset with 40+ subcategories and 600+ data variables. Our diverse data sources and value-added enhancements enable insightful industry analysis. We stay agile, aligning with global sustainability trends and regulations to continuously update and enrich our data offerings. Taiwan Economic Journal (TEJ), drawing on over 20 years of research and expertise in corporate social responsibility and ESG issues, has developed the TESG Rating using quantitative analysis techniques. This addresses the challenges faced by financial institutions in promoting responsible investment and credit. With a wealth of data sets and solutions for sustainable finance and green financing, TEJ’s solution streamlines the process, allowing for efficient and precise evaluation of companies in the realm of green finance. We serve as a one-stop platform to meet the assessment and information needs for green finance goals. For more information, please feel free to contact us! Get Ahead of the Curve on ESG Trend Improve your workflow with TESG Sustainability Dataset Today! TEJ ESG Sustainability Solutions ✉️ E-mail： tejservice@tej.com.tw | ☎️ Phone： +886-2–87681088

Product Introduction

Treasury Stock

Companies repurchase shares to optimize capital structure, stabilize stock prices, or prepare for future reissuance. A clear understanding of a company’s treasury stock policy enables investors to assess management’s strategic decisions, financial stability, and the overall impact on shareholder value. Item Information Frequency Irregularly; updated continuously Source Taiwan Stock Exchange (TWSE) and Taipei Exchange (TPEx) Scale Listed and delisted companies in Taiwan. The number of listed companies is around 1700. Historical Period From 2013/01/01 Fields Included -The Purpose of Buybacks -Announced Begining Date/Ending Date -Lower Unit Price / Upper Unit Price -Execution Rate (%) -Total Buyback Amount -Avereage Buying Price -ROI After the End% TEJ’s treasury stock database provides investors with detailed information on buyback plans, including the number of shares repurchased, price range, execution progress, and impact on capital structure. It helps evaluate a company’s capital allocation decisions, gauge management’s confidence, predict stock performance, and identify potential undervaluation. Clear insights into buybacks support informed investment strategies, reduce risk exposure, and facilitate deeper analysis, ultimately improving long-term return forecasts and enhancing capital allocation efficiency. What are Treasury Stock? TEJ Will Tell You Treasury Stocks’ Advantages, Disadvantages, And Inquiry Channels. What is Event-Driven Investing: Common Strategies & Examples Contact Us

Product Introduction

Valuation Services

Our dedication to industry-specific valuation services sets TEJ apart from other business valuation firms. We understand the dynamics and regulations of each sector we serve to inform our approach. This specialty allows us to deliver sector-specific asset valuation services and insights. Our 30-year experience in Taiwan has given us a profound grasp of local and regional market trends, which we include in our valuation models for accuracy. Unlike other business valuation companies, our workforce has broad knowledge and we serve valuation supported by high-quality databases. We concentrate on the aspects that make a business valuable, from development to investment capital to financial strength. This granular technique lets us assess a business’s true worth by considering all its factors. High-quality databases and cutting-edge analytical methods guarantee that our evaluations are thorough and based on current market data and trends. Our record speaks for itself. TEJ is known for its impartiality and fairness in valuation services after serving approximately 100 organizations and managing over 400 assessment cases. This reputation is a tribute to our rigorous methodology and commitment to accurate evaluations. We deliver great business and asset valuation services adapted to the changing demands of the sectors we serve as we expand and adapt. Our approach to business valuation combines market trends, financial predictions, and industry-specific research. First, knowing market trends helps us place a business in its economic context and identify growth opportunities and threats.. We study industry trends, regulatory contexts, and technological breakthroughs to value each industry’s characteristics and challenges. Our holistic methodology improves evaluation accuracy and gives customers a multi-dimensional view of their assets. Our detailed and objective asset valuation services are essential for strategic business decisions and investment evaluations. We aim to provide a clear, impartial, and thorough assessment. This confirms that our customers obtain an authentic asset evaluation without subjective bias or overvaluation. Our precise evaluations support strategic decisions, including mergers and acquisitions, capital budgeting, and business restructuring. Our detailed investment evaluations help investors assess risks and rewards and make sound choices. Our objective assessment provides practical information our customers can rely on for key financial decisions. TEJ’s valuation process encompasses the following steps: Contact Confirmation of valuation objectives and targets with clients Confirmation of reference date and reporting date Confirmation of delegated scope of work Inspection Entity verification In-depth interviews Information gathering Analysis Overall economic and industry analysis Target and peers analysis Value estimation Method assessment Parameter assumptions Modeling calculations Discount/premium adjustments Control premium DLOC/DLOM considerations Value conclusion Method variance analysis Sensitivity analysis Value conclusion TEJ has held the Ministry of Economic Affairs’ Technical Service Registration since 2019, with numerous Certified Valuation Analysts (CVAs) and Certified Business Valuators (CBVs) Contact our team to reveal your true corporate value. Our integration of complex financial databases like the Peers database and industry risk coefficients, which are key to asset valuation services, sets TEJ apart from other business valuation firms. Discount for Lack of Control/Marketability (DLOC/DLOM) is our specialty, differentiating us from other business valuation companies. Our technique goes beyond data collecting to generate valuable insights from complicated financial data. Our accurate and actionable valuation insights help customers make informed decisions thanks to our attention to detail. Our focus on eliminating subjective impact in evaluations shows our objectivity and accuracy. We are well-known in the business for our strict standards, especially when regulatory regulations are concerned. Our goal is to provide customers with a complete financial picture, not simply a value number, to enable them to make intelligent decisions. Our evaluation services are customized to our client’s requirements and expectations. In suitable cases, our valuation reports include an overview of the firm, industry, and economy, assess value-driving factors, explain the conducted analysis, inputs, and assumptions, and provide detailed evidence for our valuation findings. Our value investigation is effective, and we assist regulatory authorities, CPAs, and clients with explanations. After years of expertise, our high-quality professional valuation assessments pass CPA and regulator evaluations, making us a trusted business valuation consultant. At TEJ, our asset valuation services encompass everything from equity valuation to derivatives and stocks. As one of the elite business valuation firms, we understand the importance of accurate values in financial reporting, mergers, acquisitions, and strategic management. Our expertise includes valuing patents and trademarks for IP rights and brand worth. Our broad offerings precisely examine every aspect of a client’s portfolio while increasing financial decision-making and reflecting actual market value. TEJ’s business and assets valuation services include: Valuation for financial and transactional purposes Purchase price allocation Asset impairment assessment Employee stock option valuation Financial asset valuation Business valuation Equity valuation Financial instrument valuation Intangible asset valuation Encompassing core technologies Patents Trademarks Customer relationships Copyrights Mineral rights Expert asset valuations are crucial for strategic decision-making and growth in a dynamic business context. TEJ is among the top business valuation companies, and our precision and depth in valuation help firms across industries make solid decisions and succeed. Leverage TEJ’s unmatched business and asset valuation abilities to shape your company’s future. Start recognizing and boosting your true corporate worth with our team now. Contact our team to reveal your true corporate value.

Fundamental Data

完整範本Company Attributes Dataset

The Company Attributes Dataset consolidates structural, ownership and classification attributes of Taiwan-listed companies into one research-grade table. Built on TEJ’s 30+ years of market coverage, every attribute is point-in-time so backtests reflect what was knowable on each date. Attributes span industry classification, listing status, capital structure, group affiliation and corporate actions. Identifiers are standardised across TEJ products, so the table joins directly to pricing, financial and ESG datasets without manual mapping. Industry and sector classification with historical revisions Listing, suspension and delisting milestones Share structure, capital changes and group affiliation Research teams use company attributes to define investable universes, neutralise industry exposure in factor models and control for structural changes that distort long-horizon studies.

測試Quantitative Investment Database

測試TEJ Taiwan DB

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