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
Momentum trade
use volume indicator to backtesting , using 2618 Highlights Preface Nowadays Momentum trade are frequently used to trade strategy,we often talk about the price-volume relationship .So in this article we are going to talk about this strategy which based on abnormal growing of the trading volume.but this strategy doesn’t have the clear definition.so we write […]
Market Knowledge & Data Guides
Margin Trading (3)
In the previous article, we introduced how to build indicators with the margin trading database. This article will be the last one of this series, and we will help the readers become familiar with the Day Trading Statistics database and the Balance of Securities Provided as Financing Collateral database.
Quant Research
Money Management
Highlights Preface We are strange and familiar with the winning rates, odds, and betting ratios. We often depend on our sentiment to multiply the winning percentage and odds in our hearts and determine the betting ratio of the investment. Therefore, it’s difficult to explain our subjective betting ratio to someone. It is inevitable in investment […]
Market Knowledge & Data Guides
Margin Trading(2)
In this article, we will show you how to export mutilated data with the “Transfer Data” function. Then, we will apply the data in the Margin Trading database to help users select fundamental indicators.
Quant Data Science
ARIMA-GARCH Model(Part 2)
First of all, we would implement the process to construct models so as to make you understand the application of python packages. However, in case of redundancy of this article, there is no hypothesis test. Subsequently, we would calculate the forecasted return and price. Last but not least, apply visualization to compare the prediction and actual trend to assess the result of ARMA-GARCH.
Market Knowledge & Data Guides
Margin Trading (1)
his chapter, [Margin Trading]will be divided into three parts. The first part will guide readers in a simple and unburdened way to learn how to operate the [Margin Trading] database.
Industry Insights
Which industries did three primary institutional investors invest in Taiwan?
How do the three primary institutional investors invest in Taiwan stocks? Highlights Preface The three primary institutional investors are essential participants in the Taiwan stock market. Others investors use three direct institutional investors’ daily trading volume, cumulative trading volume, and the shareholding ratio of stocks to be a benchmark to invest. Therefore, we analyze the […]
Quant Research
Performance of TAIEX during Chinese New Year
Return of TAIEX before & after Market Closure Period Highlights Preface Chinese New Year is the most important festival of Chinese society. Traditionally, it is the genuine year-end. Stock market participants would conclude market performance in past year and begin the project targeting upcoming year. Therefore, this article would take Chinese New Year as the […]
Quant Research
Pairs Trading
Establish a pairs trading strategy between Evergreen Shipping and Yang Ming Shipping with Python. Highlights Preface When the market capital is excessively flooded, to avoid systemic risks, investors often establish long and short positions at the same time through asset allocation to eliminate most market risks and obtain stable returns. However, we select Evergreen and […]
Quant Data Science
ARIMA-GARCH Model(Part 1)
First of all, we need to declare the Time Series concept. It is a kind of data structure showing the development of historical data by the order of time. As for Time Series Model, it is applied to analyze time series data. Further, by this model, we manage to find high-likelihood trend and make forecasting.
Quant Research
Brinson Model Performance attribution
Analyze the source of portfolio performance Highlights Preface Portfolio’s performance is affected by many factors. It is not easy for us to clearly distinguish whether the performance is due to the rise in the market, the stock selection ability of traders, or the proper allocation of assets or industries? Therefore, we can use the performance […]
Quant Data Science
RSI Indicator
Use common technical indicators to backtesting Highlights Preface Relative strength index (RSI) is the momentum technical indicator. It is usually used as an oscillator interval to evaluate overbought or oversold condition by measuring recent trend of price movements. Following is the way to calculate this indicator: Criterion of RSI: RSI’s Deactivation: Gain and loss is […]