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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Quant Research
The sweet period of emerging stock to listed stock
We calculate the win rate and return by industry for the emerging market to listed market. As opposed to the company releasing news — the event day study that will apply to the listed market. Key Words：Pre IPO、Sweet Period Highlights Difficulty: ★★☆☆☆ Advice: This article use Python to select and classify data, then implement the […]
Quant Research
Predicting the occurrence of a corporate crisis Logit & Probit
Exploiting the Logit & Probit regression model to analyze the chances of a company’s bankruptcy. Highlights Preface Predicting the future is what every investor wants to pursue, whether it is for the future market or the future of the companies and the industries. Still, there is always uncertainty and randomness in predicting the future, so […]
Quant Research
Prediction of Portfolio Performance
Monte Carlo Simulation Highlights Preface The purpose of Monte Carlo simulation is to estimate the likely outcome of an uncertain event, and it works by modeling the variables of the uncertain event by assuming a probability distribution. Also, each forecast period is constantly recomputing the results with a random set of numbers, resulting in a large […]
Quant Data Science
LSTM
Using deep learning model to predict stock price? Highlights Preface Predicting stock prices has been pursued by people, but the randomness of stock prices not easy to forecast. With the progress of data science, the calculation cost has been greatly reduced. This article use more complex deep learning model for stock prices prediction compare to [Quantitative […]
Industry Insights
The relationship between the yield rate of U.S. bonds and Taiwan stocks
Analyze the relationship between U.S. Treasuries and different types of Taiwan stocks. Highlights Preface Raw material prices soaring, inflation and interest rate increases are the main issues in the financial market this year. The news media often report that the recent decline in Taiwan’s stock market is related to international capital flows, so this article […]
Industry Insights
Yield curve inversion
Highlights Preface when the United States 10Y Government Bond -United States 2Y Government Bond <0 ,we call it yield curve inversion 。 Usually longer-term bonds will have higher interest rates, but when the market have doubts about the economy ,yield cruve inversion happen! So in this article , we try to plot the Macroeconomic Index a year […]
Quant Data Science
SVM Model
Apply Financial Data to Predict Stock Price Fluctuation Highlights Preface Support Vector Machine, short as SVM, is a machine learning algorithm based on Statistics theorem. It is widely used in data classifier and regression. As for this article, we would focus on Classifier. Simply put, classification of SVM is conducted by draw straight or irregular […]
Quant Data Science
Lasso Regression Model
Effective Explanatory Variables for Economic Growth Highlights Preface Least Absolute Shrinkage and Selection Operator, short as Lasso, is mainly used for variable selection and regularization in Regression. The function of “Penalty” setting would in Lasso lets us adjust the complexity. Therefore, with Lasso, we are able to alleviate “Overfitting”. Penalty in the model is used […]
Quant Research
Defensive Stocks : Recover After Going Ex-Dividend
Highlights Preface In Taiwan ,our investor have the higher preference for the high yield stock,and high-yield stocks tend to be accompanied by low volatility,that we call low Beta. The Beta value represent the correlation with the broader market,0050is well known in Taiwan ,and the beta is between about one ,It shows that he can reflect […]
Quant Research
Momentum select
along for the ride Highlights Preface we introduce the Momentum trade last time ,now we are going to teach you how to find this stock ,if we are not highly involved the marker,we often found in the news which already price in ,so what we want to do is find the stock automatic.It also can save […]
Market Knowledge & Data Guides
Directors & Supervisor’s Remunerations
TEJ [Directors & Supervisor’s Remunerations database] provides various information related to the remuneration of directors and supervisors, ranging from total remuneration and salary, numbers, remuneration to income ratio to the information of directors, supervisors, and managers’ remuneration and salaries. Up to 55 sub-blocks, users can experience the most complete and accurate Taiwan’s remuneration of directors, supervisors, and managers. This article will introduce the importance of directors’ and supervisors’ remunerations information, applications, and how to find these data.
Quant Data Science
Portfolio VaR
In 1997, Robert Merton and Myron Scholes won the Nobel Prize in Economics for their Black-Scholes options pricing formula, beating out many other contenders. The Black-Scholes model is still a widely-used option pricing model in the financial industry and by investors due to its excellent mathematical properties, simplicity, and ease of use. Today, we will focus on programming this model and Greeks derived from Black Scholes model.