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 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.
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Market Knowledge & Data Guides
What is Algorithmic Trading? A Beginner’s Guide to Algorithmic Trading, Including Tutorials, Pros and Cons, and Common Strategies.
If you’ve been involved in investing for some time, you’ve likely heard a lot about algorithmic trading and quantitative trading strategies. For beginners with no software or coding background, it might seem daunting at first. However, with the rise of AI in recent years, the ability to automate investment strategies could become an essential tool […]
Factor Investing
Stock Selection Factor Study: A Study Combining brokers branches trading and Momentum Factors
When market efficiency is low or inefficient, stock prices tend to overreact or underreact to new information. This phenomenon allows investors to achieve significant positive average returns by buying stocks that have performed well in the past or short-selling stocks that have performed poorly (Jegadeesh and Titman, 1993). From a behavioral finance perspective, George and Hwang (2004) pointed out that traders might be reluctant to buy even if there is favorable news when stock prices approach a new high within the past year. This reluctance leads to stock prices reaching new highs driven by positive news, indicating that even professional investors might underreact to new information. Zhang (2006) found from an information asymmetry perspective that in markets with a higher degree of information asymmetry, future returns of stocks following bad or good news tend to be lower or higher, respectively. Momentum strategies perform better in stocks with higher levels of information asymmetry. This study attempts to use the daily reports of brokers branches trading provided by the Taiwan Stock Exchange to derive relevant indicators from an information asymmetry perspective, combining these with momentum factors to identify stocks that have yet to catch the market’s attention but are gradually rising in price. The study will conduct overlapping period tests, IC/IR value tests, and factor portfolio backtesting on this composite factor.
Quant Data Science
Verifying LSTM Stock Price Prediction Effectiveness Using TQuant Lab (Part 1)
This article uses the LSTM time series model for deep learning-based LSTM stock price prediction, utilizing the opening, high, low, and closing prices of the past five days, quarterly ROE, MOM (indicating the magnitude of price trend changes, and the direction of market trends), and RSI indicators to predict the next day’s closing price.
Market Knowledge & Data Guides
What is Block Trade? TEJ will introduce you to it from the ground up?
Block Trade, a crucial element of the financial markets, refer to the buying and selling of securities in substantial single transactions. These trades, typically carried out by institutional or large investors, involve a multitude of stocks, bonds, or other financial instruments. Their staggering volume and value characterize them and are often conducted outside the open market to mitigate excessive impact on market prices. TEJ will guide you through this crucial aspect of the financial world.
Industry Insights
AI Infrastructure — Another Growth Opportunity For Electronic Manufacturing Services Industry!
With the vigorous development of big data applications and cloud computing, Cloud Service Providers (CSPs) are actively constructing data centers, driving growth in the server market. Especially after OpenAI launched ChatGPT, opportunities in the GenAI sector have flourished, sparking a wave of AI infrastructure development. AI servers, in particular, have seen significant hardware improvements compared to normal servers, even adopting new technologies that increase integration and testing complexity. Some assembly factories, leveraging their technical expertise, have successfully tapped into the AI boom, opening up a new growth opportunity for the EMS (Electronic Manufacturing Services) industry.
Factor Investing
Stock Selection Factors Research: Combining Insider Ownership and Momentum Factors
In recent years, as the stock prices of popular AI companies continue to reach new highs, investors are increasingly focused not only on these companies’ operational status but also on the trading behavior of their insiders. Company insiders have more information compared to external investors, giving them an informational advantage when trading the company’s stock.
Industry Insights
Analyzing the Changes in Sharpe Ratio of NVIDIA Concept Stocks Using TEJ API from Jensen Huang’s Speech at National Taiwan University
During Jensen Huang’s speech at National Taiwan University, he revealed a list of NVIDIA’s business partners in Taiwan, which led to the viral spread of the term “the world’s strongest AI ETF”. What impact did this announcement have on the stocks of these business partners? We will use TEJAPI to calculate the Sharpe ratio to determine whether the effect was positive or negative. Additionally, we will visualize the observed results.
Quant Data Science
Tutorial on Running TQuant Lab in Google Colab and Common Errors
For students who want to use TQuant Lab, in addition to the original GitHub installation tutorial, we now offer a faster and simpler way to use it directly on Google Colab. The tutorial on running TQuant Lab in Google Colab eliminates the need to set up a virtual environment, significantly lowering the barrier to entry.
Quant Research
Block Trade Strategy Achieves Performance Beyond The Market Index
In recent times, there has been a global surge in AI, with Taiwan’s electronics industry attracting a lot of interest from institutional investors due to its comprehensive supply chain. In addition to trading stocks through conventional methods on stock exchange markets, investors can also utilize block trading offered by exchanges for transactions exceeding a fixed amount.
Quant Research
F-score Strategy: Identifying Undervalued Quality Stocks
Joseph Piotroski’s F-score strategy, based on evaluating 9 financial conditions, helps investors gain insights into a company’s profitability, safety, and growth potential. This article uses TQuant Lab to construct the F-score strategy, helping investors gain deeper insights into the investment benefits that the F-score can offer.
Industry Insights
2 Passive Components Tycoons in Taiwan — YAGEO & PSA
Since 2020, Taiwan’s passive components industry has faced challenges due to intensified competition between the US and China, the impact of the COVID-19 pandemic, and the Russo-Ukrainian war. However, despite these difficulties, both YAGEO (2327.TW) and Walsin Technology (2492.TW) have strategically leveraged different types of mergers and acquisitions to enhance their products, technologies, markets, and customer base. As a result, their revenues and scale have continued to grow. Additionally, with the rise of applications like electric vehicles, 5G/6G internet, and AI-driven products, Taiwanese manufacturers are seizing opportunities across various domains.
Market Knowledge & Data Guides
Counter-Indicator Analysis: Using TEJ API to Examine the Relationship Between Stock Prices and Counter-Indicators Issued By Authority”
This article will utilize the Stock Exchange’s provided 7 financial information indicators and explore their correlation with stock price counter-indicators using the TEJ API.