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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Editor's picks from our research desk.
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 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.
Empirical Research on Behavioral Factors in the Taiwan Stock Market: A Case Study of the Share Distribution
In an AI-driven Taiwan stock market, mastering chip distribution (ownership structure) is the key to profitability. This study delves into the Share Distribution data from the TDCC, transforming 15 tiers of shareholding data into behavioral finance factors such as investor attention, opinion dispersion, and retail speculation. By utilizing Fama–MacBeth two-stage regression and the alphalens-tej quantitative tool, we precisely validate the predictive power of psychological biases on stock returns, providing investors with actionable Alpha strategies and robust risk management solutions.
Insights
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Industry Insights
DeepSeek Launches Low-Cost AI — A Game-Changer for the Industry?
Since the launch of ChatGPT, the world has begun to witness the transformative power of AI. While much of the spotlight remains on ChatGPT, a Chinese AI model has quietly emerged on the global stage—DeepSeek. It boasts a training cost of just 1/20 of OpenAI’s and 1/10 of Meta’s. Recently, DeepSeek has even received recognition from tech giants including Apple’s Tim Cook, NVIDIA’s Jensen Huang, Microsoft’s Satya Nadella, Amazon’s Andy Jassy, Alphabet’s Sundar Pichai, and Meta’s Mark Zuckerberg. This article will explore the impact of “DeepSeek” on Taiwan’s electronics industry.
Factor Investing
How Dividend Policy Affects Investment: An Event Study Analysis of Key Factors
Taiwan’s stock market is a shallow dish market. A shallow dish means it has no depth and is susceptible to external shocks. In contrast, the stock market is easily disturbed by external forces. It has significant ups and downs, such as being influenced by news or large purchases of a single stock by large investors, which can significantly affect stock price performance. This article uses several chip data to explore the impact on stock prices when chips are concentrated in stock and presents them in an interactive chart.
Quant Research
Enhancing Investment Performance of the Ichimoku Cloud with the XGBoost Machine Learning Algorithm
Traditional Ichimoku strategies rely on fixed parameters (9-26-52) and visual interpretation, making them inflexible in adapting to different market conditions. XGBoost learns complex high-dimensional relationships between different data points and enhances the filtering and decision-making process of trading signals. This article use XGBoost to enhance investment performance of Ichimoku Cloud.
Quant Research
Michael Sivy’s 4 Key Income Investing Principles Unveiled
In the world of investing, accurate predictions and systematic analysis are key to achieving long-term success. Strategists who can decipher market trends become sought-after figures for investors eager to learn. Michael Sivy is undoubtedly one of the best. With precise market forecasts and unique investment insights, he has built a stellar reputation in the U.S. investment community. From warning of the 1987 stock market crash to predicting a market turnaround in 1995 and foreseeing the bursting of the tech bubble in 1999, Sivy has demonstrated exceptional market foresight through decades of research and hands-on experience. His book, The Rule of 72, has become a must-read classic, offering systematic analysis and clear guidelines for investors of all types.
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.
Factor Investing
Analyzing Factor Performance with Alphalens: Price and Volume Factors
In investment decision-making, price-volume factors are essential for investors to gain insights into market behavior. The relationship between price and trading volume supply and demand dynamics of an asset also reveals capital flows and shifts in market sentiment. These factors play a crucial role in capturing short-term opportunities and identifying potential risks in asset allocation.
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.
Market Knowledge & Data Guides
What is Quantitative Data: Definition, Types, & Analysis
This article will explore what quantitative data is, outlining its meaning, types, and examples, while briefly viewing its collection and analysis methods.
Quant Data Science
Differences Among TEJ API, TEJ Tool API, and TQuant Lab
TEJ (Taiwan Economic Journal) is a renowned financial information service platform in Taiwan. It provides a wide range of data and analysis tools covering various aspects such as economics, finance, stock markets, bond markets, and futures. With its extensive database and professional analytical features, the TEJ platform is widely used by financial institutions, research units, and investors to access real-time, accurate market data and conduct in-depth data analysis to support decision-making.