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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Industry Insights
Investing in Emerging Markets: Opportunities, Risks & Strategy
Should you invest in emerging markets? Our emerging market investment guide covers the benefits, risks, and strategies to empower you with data-based decisions.
Market Knowledge & Data Guides
What are Alpha Signals & How are They Used in Trading?
Alpha signals are metrics that show portfolio outperformance potential. Learn how they’re generated and applied in trading, and the challenges of using them.
Factor Investing
Factor Investing Explained: Types of Factors & Strategy Guide
Factor investing targets quantifiable characteristics to improve returns. Explores common factors (macroeconomic and style types) and strategies in our guide.
Event & Alternative Signals
Alternative Data Integration: Step-by-Step Guide for Investors
Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.
Event & Alternative Signals
Investing with Labor Market Alternative Data: Insights & Tips
Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.
Event & Alternative Signals
Alternative Data in Hedge Funds: Strategies & Success Story
Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.
Quant Data Science
How to Collect Quantitative Data: Common Methods
Quantitative data collection methods include surveys, interviews, observations, and dataset reviews. Explore the techniques, pros, and cons of each method.
Market Knowledge & Data Guides
What is Dividend Arbitrage: Strategy, Process, & Examples
Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.
Event & Alternative Signals
What Is Event-Driven Investing? Strategies, Examples & Insights
Learn what event-driven investing is, how it exploits pricing inefficiencies from corporate events, and explore common strategies with real-world examples.
Quant Data Science
【TQuant : From 0 to 1 – Day 1】 Your Gateway to Quantitative Trading: Become a Quant Expert with TQuant Lab, No Experience Needed!
what is the right way to invest? If you’ve had the same doubts, you’re not alone. While seeking answers, I stumbled upon a term that was entirely new to me: quantitative finance. Learning this field helps resolve personal financial challenges and enhances career competitiveness. More importantly, it sharpens your logical thinking and data analysis skills—benefits that are hard to overlook. TQuant Lab provides everything you need to get started efficiently and effectively. Let’s embark on this journey together and explore the endless possibilities of quantitative trading!
Quant Data Science
MasterLink Securities API Beginner’s Guide： How to Use TQuant Lab Strategies for Automated Trading
In modern financial markets, algorithmic trading is increasingly becoming essential for investors to enhance efficiency and reduce risk. More and more brokerage firms offer API services, enabling investors to automate order placement and quickly respond to market changes. This article will demonstrate using MasterLink Securities API for automated trading while integrating strategies from TQuant Lab. Through a practical example, we’ll show how a systematic approach can optimize investment decisions, helping investors seize market opportunities and improve performance.
Market Knowledge & Data Guides
How to Choose an Alternative Data Provider for Smarter Financial Decisions
How should you choose the best alternative data provider for your financial needs? Learn about key factors, such as data quality, integration, and more.