Event-Driven and Arbitrage Strategies › Event-Driven and Arbitrage Strategies

Corporate events create temporary dislocations in security prices as markets digest new information and uncertainty. Merger announcements, earnings surprises, and bond rating changes can trigger predictable price dynamics that systematic traders exploit. Event-driven strategies occupy a unique space in quantitative finance, combining rigorous statistical analysis with fundamental research, legal expertise, and timing precision to capture returns that are largely uncorrelated with broader market movements.

Unlike the statistical arbitrage and factor strategies we explored in earlier chapters, event-driven approaches focus on specific catalysts with identifiable timelines. A merger has an expected closing date. Earnings are announced on a scheduled day. Index reconstitutions follow published rules. This temporal structure creates both opportunity and risk: you know when the uncertainty resolves, but the resolution itself remains uncertain.

This chapter develops the quantitative frameworks for analyzing and trading corporate events. We begin with merger arbitrage, the canonical event-driven strategy, and then expand to earnings announcements and fixed income relative value trades. Throughout, we emphasize that event-driven strategies require integrating quantitative signals with fundamental judgment about deal-specific risks.