{"title":"Bargaining over shares of uncertain future profits","authors":"Yigal Gerchak , Eugene Khmelnitsky","doi":"10.1007/s40070-019-00095-4","DOIUrl":null,"url":null,"abstract":"<div><p>We address the following basic question: How should parties, with possibly different risk-attitudes and beliefs, who are contemplating creating a partnership, divide uncertain future profits? We assume that the formula for division of profits is a result of negotiations, and model it via the Nash-bargaining-like solution (NBLS). After characterizing the optimal contract, using calculus of variations, we assume a linear contract and find its optimal parameters for various cases of interest. We also consider the implications of an asymmetric NBLS.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40070-019-00095-4","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EURO Journal on Decision Processes","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2193943821000984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 4
Abstract
We address the following basic question: How should parties, with possibly different risk-attitudes and beliefs, who are contemplating creating a partnership, divide uncertain future profits? We assume that the formula for division of profits is a result of negotiations, and model it via the Nash-bargaining-like solution (NBLS). After characterizing the optimal contract, using calculus of variations, we assume a linear contract and find its optimal parameters for various cases of interest. We also consider the implications of an asymmetric NBLS.