Insights

In-depth research and data-driven insights on quantitative finance, factor investing, risk, and ESG from the TEJ research team.

Trending

Editor's picks from our research desk.

Insights

Browse all articles by topic.

Industry Insights

PCB Industry Shakeup: Southeast Asia Emerges as New Battleground

How Will Taiwan’s PCB Industry Navigate Geopolitical Winds and Trade Turmoil to Ensure Growth in Exports and Manage Capacity Migration?

2023.05.04 more
Event & Alternative Signals

【Data Analysis】TESG Event Radar Topic Modeling

Today we will use the “TESG Event Radar” data to fulfill topic modeling, which can help us easily and quickly understand the ESG trends or topics of open data of the government, shareholders meeting report, and ESG report.

2023.04.25 more
Industry Insights

Women in Boardroom in 2023: From Critical Minority to Majority

The current trend emphasizes gender equality, and the role of women in the corporate world is increasingly important. This article will explore the changes in the global proportion of female directors, the enactment and implementation of laws in various countries, and the impact of female directors on corporate performance. Through this research, we aim to raise awareness and attention to women in the corporate field, promote more outstanding women to step onto the stage of corporate decision-making and bring more value to enterprises.

2023.04.20 more
Industry Insights

Women in Boardroom: Are They Driving Growth in Taiwanese Companies?

Do female directors in Taiwanese companies drive growth in corporate governance and the ESG score?

2023.04.20 more
Event & Alternative Signals

ESG Investment Portfolio (Part 2)

In the previous article, we introduced TESG’s scoring mechanism in detail and its rating ratio among popular ETFs in China. This article will teach readers how to further use the ESG rating provided by TESG, and use Python to construct a concurrent An investment portfolio with sustainable operations and financial growth potential.

2023.04.17 more
Quant Data Science

GRU and LSTM

Highlights: Preface Profit-chasing and risk-averse are the innate naturals of all investors. One way to achieve these goals is to predict the future stock movement. In the past, time series models such as ARIMA and GARCH are widely used to characterize the trajectory of future stock prices. Nowadays, As the boom of artificial intelligence, […]

2023.04.11 more
Industry Insights

Understanding the Cybersecurity Industry Chain

The business opportunities incurred by cybersecurity crises are much larger than you imagine. But before putting your cash in, do you understand the cybersecurity industry chain and its components?

2023.04.07 more
Industry Insights

A New Way of Incorporating ESG Factors into Business Valuation

In 2014, the CFA Institute in the US began discussing the incorporation of ESG (Environmental, Social, and Governance) factors into investment decision-making and business valuation. However, the measurement involved in each rating varies greatly, thus confusing users. Given this, TEJ released the “TESG Rating Index (TESG Rating) ” on March 31, 2022, a tool for reference in investment and credit. What’s more, we use the TESG Rating to explore its correlation with commonly-used valuation multiples, such as the price-to-book (P/B) ratio and price-to-earnings (P/E) ratio.

2023.03.26 more
Quant Research

Bollinger Bands Trading Strategy

Highlights Difficulties:★☆☆☆☆ Using the Moving Average and standard deviation to construct a Bollinger Band, determine when to buy and sell. Preface Bollinger Band is a technical indicator that John Bollinger invents in the 1980s. Bollinger Bands consist of the concepts of statistics and moving averages. The moving Average(MA) is the average closing price of […]

2023.03.21 more
Industry Insights

How ChatGPT Expose Enterprises’ Achilles’ Heel

Not all companies can utilize ChatGPT for AI-driven transformation, and ignoring information security risks may affect their sustainability.

2023.03.09 more
Quant Data Science

PCA Feature Portfolio

Principal Component Analysis (PCA) is a key technique in unsupervised learning widely used in machine learning and statistics to analyze data and reduce data dimensionality. Its core idea is to break down the original data into representative principal components, achieving dimensionality reduction and providing a new description of the data.

2023.02.23 more
Quant Data Science

Seeking Alpha

The alpha obtained from the Fama&French three-factor model is used to construct a long-short strategy and backtest the performance against the market return. Highlights: Difficulty:★★☆☆☆ The Fama&French three-factor model is used to calculate the alpha of Taiwan-listed stocks, and the top 20% of stocks with the highest alpha and the bottom 20% of stocks with […]

2023.01.09 more