Insights
In-depth research and data-driven insights on quantitative finance, factor investing, risk, and ESG from the TEJ research team.
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Fundamental Factor Research: Monthly Revenue Information – part1
The Taiwan equity market possesses a rare institutional advantage globally: under the Securities and Exchange Act, listed companies are required to announce and report their operational results for the preceding month by the 10th of each month (Exception: starting from FY2026, insurance companies and entities with insurance subsidiaries may extend their disclosure deadline to the 15th of each month). This is commonly referred to in the market as "Monthly Revenue".
Factor Strategy – Integrating Broker Consensus to Enhance Foreign Concentration Strategies – QFII Part 2
Boost your quantitative strategy with QFII concentration & broker consensus! Discover how the conc_qfii fusion strategy delivers a 30.12% annualized return in the Taiwan large-cap market.
Factor Research – Tracking Smart Money Footprints via Foreign Institutional Concentration – QFII Part 1
Track QFII ‘smart money’ footprints in Taiwan large-cap stocks! Learn how the Foreign-Institutional Trading Concentration (conc_qfii) factor predicts returns.
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Market Knowledge & Data Guides
A Brief Overview of Affiliated Companies Disclosures in Annual Shareholder Meetings
Have you noticed “Special Disclosures - Affiliated Companies” in company annual reports? Why do companies include this information, and what’s its significance for them?
Quant Research
Aroon Up Down Strategy
Oscillator Technical Indicator is a technical indicator used in the financial market analysis for assessing the over-bought/over-sold of a given asset in a given period. It can assist investors in identifying trends and potential trend reversals. Oscillator Technical Indicator processes and converts specific price indicators (e.g., opening, closing, highest, and lowest price) in a limited range. Some may include a negative range. Oscillator Technical Indicators are normally presented in a linear format. Today, we are going to introduce an Oscillator Technical Indicator — Aroon Up Down.
Industry Insights
Chung Fu’s Delisting Crisis Ⅰ: Repeated Financial Reporting Errors Bring Delisting Closer!
Chung Fu’s operations in peril: critical financial reports repeatedly delayed since last year, what lays behind the reporting delays?
Market Knowledge & Data Guides
Stewardship Code Resolutions — Taiwan Corporate Shareholder Meetings
As investors, how can we proactively detect potential corporate governance risks earlier through Stewardship Code, beyond relying solely on information from news reports?
Industry Insights
Will Chinese Car Manufacturers Price War Reverse Demand for Automotive Component Factories?
After the subsidy policies, what impact could the price war waged by Chinese automakers have on Taiwanese automotive component suppliers?
Event & Alternative Signals
Negative Screening: Striking the Balance Between Your Beliefs and Portfolio Returns
For advocates of negative screening, the most crucial question is how to screen for good companies. Can the selected companies not only align with personal values but also meet returns?
Industry Insights
The im.B Ponzi Schemes: How to Avoid Being Trapped in “Low-risk, High-return” Schemes?
As investors, what can we learn from such a meticulously crafted ponzi scheme by im.B fraud?
Quant Data Science
How to avoid common mistakes during trading – Loss Avoidance
“Loss avoidance” is a crucial topic in investing, whether for novice investors or experienced experts. As we pursue investment returns, the risk of losses is ever-present. Therefore, adopting effective loss avoidance strategies is vital to protect our capital and enhance the chances of investment success. In this article, we will use Python and the tejapi to fetch stock price data to examine the differences between implementing loss avoidance and without loss avoidance measures. By understanding and applying loss avoidance, we will be better equipped to protect our investments, reduce potential losses, and enhance long-term returns.
Industry Insights
Threads stealing Twitter Trade Secrets? Understanding the Importance of Trade Secrets to Businesses
Threads, the so-called “Twitter killer,” Threads, has faced accusations from Twitter’s lawyers of stealing IP and trade secrets! Why trade secret matters in companies?
Market Knowledge & Data Guides
What is the Look-ahead Bias ?
Look-ahead bias is the phenomenon that unconsciously uses unavailable or unrevealed data in analyzing or simulating historical events. It exists in the processes of making decisions or evaluations which use information or data that was unknown at that time. Look-ahead bias may cause distortion and misleadingness of the result because it violates the principle of using only information available during analysis. It could emerge in any field, such as finance, economy, and data analysis, and influence investment strategy, backtesting of the trading system, and performance grading.
Industry Insights
AboCom (2444.TW): Pioneering Transformation through Multiple Generations of Leadership
Once a dominant player in the global PCMCIA market, AboCom lost its core competitiveness due to a market misjudgment. Furthermore, it recently involved in an unconventional transaction…
Quant Data Science
Options Pricing with Monte Carlo Simulation
key takeaways! The Reality Gap: Standard theoretical prices often drift away from the market. Our tests prove that reality rarely aligns with static formulas. Find the Truth with Python: Simulate 10,000 paths and use smart fixes to get prices much more accurate than standard formulas. Real Market Backtest at the End: Which code snippets help […]