Merger Arbitrage and ESG Impact Investing

October 2022

This paper examines the environmental, social, and governance (ESG) impact of merger arbitrage, alongside its return characteristics. Merger arbitrage buys the shares of announced targets, generally at a discount to the offer, and hedges acquirer risk where the offer includes stock. The analysis studies a systematic strategy across several thousand announced deals in North America and Europe. It finds that completed mergers are associated with large, measurable improvements in the ESG scores of target companies, well beyond the drift of their sector peers. It also shows that these improvements can be predicted from deal characteristics, so a portfolio can lean toward deals with larger expected ESG gains. Importantly, the evidence does not suggest that pursuing larger ESG improvements requires giving up return. The paper is written for allocators and consultants interested in measurable impact alongside diversifying returns, and it frames its conclusions as analytical perspective.

What This Paper Examines

  • How systematic merger arbitrage is constructed and hedged.
  • How ESG scores change from before a merger is announced to after it completes.
  • Whether ESG improvements from mergers can be predicted in advance.
  • Whether pursuing larger ESG improvements requires sacrificing return.
  • What the findings imply for ESG measurement and regulation.

Key Findings

  • Completed mergers are associated with large improvements in target-company ESG scores. Targets tend to start with below-average ESG scores and improve markedly by the year after completion, well beyond their sector peers.
  • A sophisticated strategy can improve on a naive one, on both counts. Weighting deals by forecasts of outcomes and characteristics has tended to deliver larger ESG improvements and more attractive returns than weighting by deal size alone.
  • ESG improvements can be predicted from deal characteristics. Models built on observable deal features explain much of the variation in ESG change, so a portfolio can target deals with larger expected gains.
  • Larger expected ESG gains have not required giving up return. The evidence shows no reliable trade-off between expected ESG improvement and merger-arbitrage return, in contrast to strategies that overweight already-high-ESG firms.
  • Impact is better measured as change over time than as a snapshot. Because a merger is a rare, transformational event, it can produce quick, measurable ESG improvement that current-score screening tends to miss.

The Authors

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.

Ludger Hentschel, Founding Partner, Investment Advisor

Ludger Hentschel joined Versor Investments as a Founding Partner and is based in New York. Ludger has over 20 years of experience in quantitative research and investing.

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

Methodology: The study uses a proprietary database of roughly 4,000 announced mergers in North America and Europe, including the United Kingdom, covering deals of 500 million dollars or larger between 2003 and 2022. ESG data comes from Refinitiv, with top-level scores scaled from 0 to 1. The simulated strategy buys announced targets and shorts acquirer shares where offers include stock. ESG change is measured from one year before announcement to one year after completion, against matched sector peers. Machine-learning models relate ESG change and deal returns to deal characteristics, and a sophisticated weighting is compared with a naive, size-weighted one on a like-for-like basis.

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