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The Valuator’s Curse: Decision Analysis of Overvaluation and Disappointment in Acquisition

Yoo, OS; McCardle, K; (2020) The Valuator’s Curse: Decision Analysis of Overvaluation and Disappointment in Acquisition. Decision Analysis 10.1287/deca.2020.0414. (In press). Green open access

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Abstract

Initial valuations of entrepreneurial ventures offering uncertain payoffs can often be overvalued by investors; namely, the expected payoff postacquisition is smaller than the expected payoff prior to acquisition when the investor harbors uncertainties about various components of the business. Common explanations involve irrationality such as psychological preference for potential over realized payoffs. We provide a different, rational explanation, which we term the valuator’s curse. It is similar in nature to the winner’s curse in auctions and the optimizer’s curse in decision analysis, but the source of the curse is neither from the competitive effects of an auction-type mechanism nor from the optimization effects in a choice among alternatives. Rather the effect is generated from the nonlinear evaluation of the payoffs, even though the inputs to the evaluation are unbiased. We formalize the valuator’s curse and discuss its implications to entrepreneur’s learning. The valuator’s curse proves a boon to the entrepreneur as it leads to larger capitalizations.

Type: Article
Title: The Valuator’s Curse: Decision Analysis of Overvaluation and Disappointment in Acquisition
Open access status: An open access version is available from UCL Discovery
DOI: 10.1287/deca.2020.0414
Publisher version: https://doi.org/10.1287/deca.2020.0414
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management
URI: https://discovery.ucl.ac.uk/id/eprint/10098492
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