The Executive Turnover Risk Premium
The Journal of Finance, vol. 69, no. 4, pp. 1529-1563, 2014.
(with Alexander Wagner)
Abstract: We establish that CEOs of companies experiencing volatile industry conditions are more likely to be dismissed. At the same time, industry risk is, accounting for various other factors, unlikely to be associated with CEO compensation other than through dismissal risk. Using this identification strategy, we document that CEO turnover risk is significantly positively associated with compensation. This finding is important because job-risk compensating wage differentials arise naturally in competitive labor markets. By contrast, the evidence rejects an entrenchment model according to which powerful CEOs have lower job risk and at the same time secure higher compensation.
Winning by Losing: Evidence on the Long-Run Effects of Mergers
The Review of Financial Studies, vol. 31, no. 8, pp. 3212-3264, 2018.
(with Ulrike Malmendier and Enrico Moretti)
Abstract: We propose a novel approach to measuring long-run returns to mergers. In a new data set of close bidding contests we use losers‘ post-merger performance to construct the counterfactual performance of winners had they not won the contest. Stock returns of winners and losers closely track each other over the 36 months before the merger, and bidders are also very similar in terms of Tobin’s Q, profitability and other accounting measures. Over the three years after the merger, however, losers outperform winners by 24 percent (14 percent internationally). Commonly used methodologies such as announcement returns fail to identify acquirors‘ underperformance.
Product Market Peers and Relative Performance Evaluation
The Accounting Review, vol. 96, no. 4, 2021.
(with Sudarshan Jarayaman, Todd Milbourn and Hojun Seo)
Abstract: We investigate the role of Relative Performance Evaluation (RPE) theory in CEO pay and turnover using a product similarity-based definition of peers (Hoberg and Phillips 2016). RPE predicts that firms filter out common shocks (i.e., those affecting the firm and its peers) while evaluating CEO performance and that the extent of filtering increases with the number of peers. Despite the intuitive appeal of the theory, previous tests of RPE find weak and inconsistent evidence, which we argue is due to the imprecise categorization of peers. Using product market peers, we find three pieces of evidence consistent with RPE in relation to CEO pay and forced turnover: (i) on average, firms partially filter out common shocks to stock returns, (ii) the extent of filtering increases with the number of peers, and (iii) firms completely filter out common shocks in the presence of a large number of peers.
Enforceability of Noncompetition Agreements and Forced CEO Turnover
The Journal of Law and Economics, forthcoming
(with Yupeng Lin and Hojun Seo)
Abstract: We examine whether corporate boards factor the potential cost of competitive harm caused by a departing CEO into the forced CEO turnover decision. Using staggered changes in the state-level enforceability of Covenants Not to Compete (CNC) for identification, we find that enhanced CNC enforceability increases both the likelihood of forced CEO turnover and the sensitivity of forced CEO turnover to firm performance. We present additional cross-sectional evidence that shows such effects are more pronounced when firms face more severe product market threats or operate in industries with greater potential threats of predatory hiring. Investors react to turnover announcements more positively when CNC enforceability increases, indicating that enhanced CNC enforceability increases efficiency in CEO replacement decisions.
Revise and resubmit at The Review of Economics and Statistics
(with Simas Kucinskas)
Presented at AEA 2020, Bank of Lithuania, Dutch National Bank, HEC Paris, University of Amsterdam, University of Bonn, Vrije Universiteit Amsterdam.
Abstract: We develop a framework for measuring biases in expectation formation. The basic insight is that under- and overreaction to new information is identified by the impulse response function of forecast errors. This insight leads to a simple and widely applicable measurement procedure. The procedure yields estimates of under- and overreaction to new information at different horizons. Our framework encompasses all major models of expectations, sheds light on existing approaches to measuring biases, and provides new empirical predictions. In an application to inflation expectations, we find that forecasters underreact to aggregate shocks but overreact to idiosyncratic shocks.
blog for a non-technical summary: lin
(with Torsten Jochem)
Presented at Miami Behavioral Finance Conference 2017, AFA 2018, EFA 2016, Research in Behavioral Finance Conference 2016, Columbia University, Dutch National Bank, Norwegian School of Economics, U Amsterdam, U Bonn, U Michigan.
Risk Premia in Executive Compensation: A Life-Cycle Perspective, 2010
Presented at the Mitsui Finance Symposium, 2010, UC Berkeley Macro Lunch, UC Berkeley
Corporate Finance Lunch
WORK IN PROGRESS
- Bias Contagion Among Sell-Side Analysts