Alpha Opportunities in Event Investing

September 2010

This paper presents a framework for event-driven investing and shows how the opportunity set changes as the economy moves through its cycle. Event-driven investing focuses on companies undergoing a significant corporate action, such as a merger, a spin-off, or a Chapter 11 filing. The analysis organizes the opportunity into four stages, economic slowdown, corporate restructuring, recovery, and expansion, and argues that each stage favors a different position in the capital structure. Because the profile of risk and reward shifts as conditions change, the framework treats capital allocation as dynamic rather than static. It also considers why few managers span every stage, and why an allocator may need to move exposure across specialist managers as the cycle evolves. The paper is written for institutional allocators, OCIOs, and consultants evaluating event-driven and corporate-event strategies, and it frames its conclusions as analytical perspective grounded in observation of prior economic cycles and proprietary research on defaulted corporate debt.

What This Paper Examines

• How the corporate-event opportunity set changes across four stages of the economic cycle: slowdown, restructuring, recovery, and expansion.
• Why the attractive position in the capital structure shifts by stage, from senior and hedged toward equities.
• What makes distressed and defaulted debt attractive, and how the opportunity relates to the peak in the default rate.
• Why post-bankruptcy reorganized equities are often underfollowed and may trade at a valuation discount.
• How dynamic, multi-manager allocation addresses the limits of any single manager’s skill set.

Key Findings

• The event-driven opportunity set shifts across the economic cycle. Slowdown, restructuring, recovery, and expansion each present a different mix of corporate actions. As a result, the framework treats allocation as dynamic, matching exposure to the stage rather than holding a fixed position through the cycle.
• The attractive position in the capital structure moves with the stage. Senior, hedged credit tends to offer better risk and reward early in a downturn, because senior claims generally recover more in periods of uncertainty. As conditions stabilize and recover, exposure can move lower in the structure and toward equities.
• Distressed and defaulted debt opportunities tend to be richest after the peak in default rates. The supply of defaulted debt builds as a downturn deepens, and history suggests the more attractive entry tends to come after defaults peak. These opportunities have persisted for multi-year periods in prior cycles.
• Post-bankruptcy reorganized equities can be a source of long-equity alpha. Companies that re-emerge from bankruptcy often carry a cleaner balance sheet and a leaner cost base, yet lack analyst coverage and may trade at a discount to peers. That combination can make them a differentiated, underfollowed source of equity return.
• Few managers span every stage, so dynamic multi-manager allocation matters. The skills that suit distressed credit differ from those that suit merger arbitrage or special situations. Allocating across specialists best suited to each stage, and shifting as the cycle evolves, tends to serve an event-driven program better than relying on a single manager.

The Authors

This paper is part of the long lineage of quantitative research that Versor’s founders began earlier in their careers and continue to build on at the firm today.

Deepak Gurnani, Founder and Chief Investment Officer

Deepak Gurnani is the Founder and Chief Investment Officer of Versor Investments. Deepak has three decades of experience in applying quantitative methods to uncover alpha across global equity markets. Over the past decade, he has focused on pioneering the use of AI and alternative data in equity investing.

Versor’s founders co-authored this research with Michael Longo and Matthew Dadaian, colleagues at the firm where this work was originally conducted.

Disclaimer: Past performance is not necessarily indicative of future results. Not an offer to sell or a solicitation of any type with respect to any securities or financial products.

Methodology: The paper builds a stage-based framework rather than a return simulation. It draws on observation of prior economic cycles and on proprietary research that tracks current and historical defaulted corporate debt, including bonds and loans of global companies that have missed payments, exchanged debt at a discount, or filed for bankruptcy.

The analysis combines this proprietary data with established third-party sources, including Moody’s for default and recovery data, Merrill Lynch for high-yield spreads, Credit Suisse and Waterfall Asset Management for market-size estimates, and Bloomberg for equity data. The scope spans default rates, credit spreads, recovery rates, the supply of defaulted debt, and merger volumes across several economic cycles from the late 1980s through 2010, with a focus on the US and Western Europe, where the legal framework and market liquidity are most developed for distressed investing.