The Corporate Chronicles 2.0

Research evidence excerpt

The Corporate Chronicles 2.0

Luo's QES Research

Quantitative Research

ESG

Portfolio Strategy

Multi-Dimensional Alpha June 9, 2026

THE CORPORATE CHRONICLES 2.0

Systematic Event-Driven Strategies with Machine Learning

• A comprehensive study of corporate event-driven alpha. This research represents Part 2 of our event-driven

research series, expanding the scope to 67 additional corporate event types across Transactions, Financing, Legal,

Regulatory, Distress, and Shareholder Activism—over one million discrete announcements since 2006. The study

maps market reactions across economic regimes—the Post-GFC Recovery, the Low-Rate Bull Market, and the GCC

Rate Hike era—and shows that event signals do not merely decay across cycles, they frequently reverse sign.

• Interplay between signaling, reputation, and informational efficiency. The research confirms the signaling

hypothesis at scale, demonstrating that capital distributions (dividends and buybacks) generate almost a 100bps

Event-day Announcement Return (EAR) spread over capital raising events (equity and debt). It further identifies a

sharp reputational gradient within the distress cluster. Events threatening financial-statement integrity, such as

auditor going concern warnings, are an order of magnitude more damaging than operational events like lawsuits,

where the alpha has already bled out through pre-announcement drift.

• Event clustering, isolation premiums, and NLP forensics. A definitive finding is the prevalence of event clustering,

with most of corporate events occurring within 60 days of another event for the same firm. Rare, isolated events carry

a 31% "isolation premium" in absolute EAR, suggesting that standalone announcements offer a materially higher

signal-to-noise ratio.