Financial Statement

This study employs TEJ’s Point-in-Time Audited Financial Database to construct a composite factor for stock selection in Taiwan’s equity market. By preserving financial data exactly as available at each historical moment, the framework avoids look-ahead bias and ensures empirical reliability. We find that higher-ranked portfolios deliver significant short-term excess returns, while predictive power weakens over longer horizons. The results highlight the practical value of Point-in-Time financial data for quantitative factor investing and underscore its role in building replicable, data-driven investment strategies.

TEJ PIT Audited Financial Database eliminates look-ahead and survivorship bias with Point-in-Time data, full version retention, IFRS alignment, and 300+ ready-to-use ratios—delivering reliable backtesting and faster strategy development.

For all companies, there are two simple methods to increase their value, Revenue up and Cost down. While growth companies typically focus on revenue expansion, value companies often shift their focus to cost reduction, especially through optimizing their capital structure. By finding the optimal capital structure, companies can reduce their cost of capital, thus improving profitability.

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 […]

Demonstrate how to get data from TEJ API financial database Preface Financial data is the information firms disclose each season, or financial indicators based on that information. Common financial data mainly comes from balance sheets, income statements or cash flow statements. Besides, TEJ API financial database also includes more comprehensive information such as financial ratios, related […]

Building the financial dashboard through python. ( the top 5 buy list of the foreign & other investors, and combine the trading volume of foreign investors with the stock price.) Preface We have introduced some functions of the most-used python packages such as matplotlib, numpy, and pandas in previous articles. In this episode, we will further […]