Event & Alternative Signals

TCRI Watchdog (WD) converts complex news and announcements into standardized quantitative alternative data. Building on our research into "Official Announcements (Source P)" and "Media News (Source N)," we have confirmed that disclosure channels directly dictate the speed and structure of market digestion. This chapter moves from macro "Event Categories" to micro "Source × Sub-category" dimensions to capture actionable Alpha within granular events. Focusing on high-sensitivity "Corporate Control Events," we analyze the signal heterogeneity between Source P and Source N. We further demonstrate how these high-precision signals assist investors in optimizing entry timing and hedging strategies.

While Part I establishes that news events generate identifiable market reactions, the informational content of news varies widely—from industry developments and financial disclosures to management changes and corporate crises. Event intensity alone is insufficient to explain these differences. Accordingly, this section decomposes news events into five categories (A, I, M, F, R) and examines whether markets respond systematically differently across news types.

Introduction: News as an Event-Based Market Signal In today’s highly real-time and information-saturated markets, news media no longer merely serve as post-hoc explanations of price movements. Instead, they have become a critical channel through which market expectations are formed and sentiment spreads. Compared with structured disclosures such as regulatory penalties or official disclosures via the […]

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.

Discover how TEJ’s ex-dividend event data and financial indicators help forecast stock rebound probability. Learn to identify high-yield Taiwan stocks with stronger post-dividend performance using TEJ’s point-in-time quantitative datasets.

Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.

Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.

Dividend arbitrage focuses on the price inefficiencies between dividend payouts and option pricing. This article will explore its execution process, examples, and challenges.