Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We propose a novel approach for measuring 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, corroborating our identification approach. Bidders are also very similar in terms of Tobins q, profitability, and other accounting measures. Over the 3 years after the merger, however, losers outperform winners by 24%. Commonly used methodologies, such as announcement returns, fail to identify acquirer underperformance. Received October 31, 2016; editorial decision October 29, 2017 by Editor Francesca Cornelli.