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 Data Science
Implementation of Deviation Rate Trading Strategy using TEJAPI and LLM
This article explores how the combination of LLM and TEJAPI enhances the efficiency and precision of stock market analysis. It elucidates how this integration contributes to identifying market trends, analyzing stock performance, discovering key information in market news, and providing third-party investment insights. This synergy not only aids professional traders and investors but also offers ordinary investors more ways to grasp the dynamics of the market.
Industry Insights
Reviving from the Shadows: The Passive Component Industry Awaits the Dawn of Recovery!
Have Taiwanese manufacturers in the passive components industry witnessed any shifts amidst the 2023 decreasing demand challenges?
Quant Data Science
TQuant Lab Aroon Up Down Trading Strategy
Aroon Indicator, developed by Tushar Chande in 1995, is typically for measuring market tendency. It consists of two lines - Aroon Up and Aroon Down.
Industry Insights
Decoding Side Pocket Accounts: Advancements in Fund Liquidity Risk Management
To ensure the liquidity of mutual funds, the Financial Supervisory Commission (FSC) has recently allowed fund management companies to adopt the “Side Pocket” mechanism …
Industry Insights
CTBC (2891. TW) & CDF Holding (2883. TW): The Gu Brothers Expanding Respective Business!
After the separation in 2002, the CTBC Group reached another moment of division. In this separation, LianSong Gu’s three sons lead the CTBC, KGI, and Chailease groups, respectively…
Industry Insights
Taiwan Cement (1101.TW): Embark on the Journey of Taiwan’s Cement Empire!
How did LuKang’s Gu family, particularly Taiwan Cement Group, fare after embarking on the path of separation?
Quant Data Science
TQuant Lab Momentum Trade
In recent years, momentum trading has become a frequent topic of discussion in stock market strategies. In the stock market, we often hear discussions about the price-volume relationship, where price is considered a leading indicator of volume, among other concepts. This article aims to explore the back-testing effects of increasing trading volume as an entry strategy.
Industry Insights
2023 Taiwan’s Top 100 Group Corporations Performance
According to TEJ Group Observer data, in 2022, Taiwan’s technology group corporations continued to grow, while traditional industries ones declined the most.
Quant Data Science
TQuant Lab Price Deviation Ratio Trading Strategy
The Price Deviation Ratio is a common technical indicator that compares the current stock price to the N-day moving average price, reflecting whether the current price is relatively high or low compared to its historical values. Generally, when the stock price consistently exceeds the moving average price, it’s called a ‘positive deviation.’ Conversely, it’s called’ negative deviation’ when it consistently falls below the moving average price.’ Therefore, when positive or negative deviation expands, it is interpreted as a sustained overbought or oversold condition in the market, serving as a basis for entry and exit decisions. However, using only the Price Deviation Ratio can generate too many trading signals. Hence, we include the highest and lowest prices over the past N days as a second filter. The actual strategy is as follows:
Industry Insights
NVIDIA Sparks AI Revolution, Do AI Server Supply Chain Keep Up?
As people increasingly embraces AI, NVIDIA’s AI server shipments have soared! However, are Taiwanese manufacturers in the AI server supply chain also witnessing a boost in revenue and profits?
Quant Data Science
TQuant Lab Bollinger Bands Trading Strategy
The Bollinger Bands is a technical indicator invented by John Bollinger in the 1980s. It combines the concepts of moving averages and statistical standard deviation to construct a trading strategy based on statistical analysis. This article will demonstrate how to deploy this strategy on the TQuant Lab back testing platform.
Industry Insights
Hota (1536.TW): Transferring Power and Driving Force Across Subsidiaries
As a leading manufacturer of automotive gears in Taiwan, how did Hota Group expand its business footprint and lead group members to become a world-class factory?