point-in-time

Discover TEJ’s highlights from Neudata Hong Kong Data Summit. Explore our structured Earnings Call Transcripts, 11 categories of PIT Factor Library, and high-fidelity Market Data for Asia.

Great connecting with the global quant and data community at the Neudata Data Summit in New York! We enjoyed sharing how TEJ’s Point-in-Time Financials, alternative data for sentiment signals, and our Factor Library for the Taiwan market are helping investors build stronger models and uncover new insights.

TCRI Watchdog classifies all events into 5 major categories: Accounting, Industry Prospects, Management & Governance, Market Transactions, and Crisis Events. We analyze how each category affects stock prices, compare their reaction magnitudes and persistence, and highlight which types of information serve as the most important early-warning signals for investors.

Discover how TCRI Watchdog quantifies material announcements and reveals the asymmetric market impact of event intensity. Learn why negative events drive deeper, longer price reactions and how investors can use event-based signals to enhance risk monitoring and strategy design. 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.

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.

What is market data? Learn about its definition, types, sources, and applications to leverage it for informed decision-making in trading and investment.

“Loss avoidance” is a crucial topic in investing, whether for novice investors or experienced experts. As we pursue investment returns, the risk of losses is ever-present. Therefore, adopting effective loss avoidance strategies is vital to protect our capital and enhance the chances of investment success. In this article, we will use Python and the tejapi to fetch stock price data to examine the differences between implementing loss avoidance and without loss avoidance measures. By understanding and applying loss avoidance, we will be better equipped to protect our investments, reduce potential losses, and enhance long-term returns.

Look-ahead bias is the phenomenon that unconsciously uses unavailable or unrevealed data in analyzing or simulating historical events. It exists in the processes of making decisions or evaluations which use information or data that was unknown at that time.  Look-ahead bias may cause distortion and misleadingness of the result because it violates the principle of using only information available during analysis. It could emerge in any field, such as finance, economy, and data analysis, and influence investment strategy, backtesting of the trading system, and performance grading.

Highlights Preface Survivorship bias refers to a type of error in research or observation where only the successful or surviving entities or events are considered, while the failures or disappearances are ignored or excluded. This bias can lead to a misunderstanding of the overall situation because observing only the successful or surviving entities may not […]

Ａccording to the Security and Exchange Act, within the first ten days of each calendar month publicly announce and register with the Competent Authority the operating status for the month. In addition to the real-time information of monthly revenue compared with financial reports, it can also assist investors in tracking company fundamentals during the window period of yearly financial reports. Therefore, monthly revenue information has become one of the most important reference indicators for investors to grasp changes in the company’s fundamentals.