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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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 Data Science
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 […]
Market Knowledge & Data Guides
Measure the company’s earnings management
Analyze the relationship between the company’s earnings management and the earnings-price ratio group Preface Investors care about earnings which is one of the key indicators. future earnings trends will affect investors’ willingness to hold stocks. If investors expect an increase in the company’s earnings, they will improve their willingness to hold stocks. Earnings can be […]
Quant Research
Stock Selection by Random Forest Algorithm
Backtesting and stock-picking strategy with machine learning Highlights Preface To put it simply, random forest is one of algorithms made up of many decision trees with the adoption of bagging and random sampling. Since it’s based on CART algorithm, it can handle both classification and continuous data. Other advantages such as its comparability with high […]
Quant Research
Two-Factor weights portfolio setting
Does the weights setting affects the performance of the two-factor portfolio? Preface The common weights settings are equal-weighted and capitalization-weighted. The former treats all factors as the same, assigns equal weights to different factors, and synthesizes new factor values; the latter weights individual factors with capitalization-weighted to synthesize new factor values at first, assign different […]