{"title":"如何以有限投资工具购买投资建议","authors":"R. Gradwohl, Yuval Salant","doi":"10.2139/ssrn.1791750","DOIUrl":null,"url":null,"abstract":"A decision maker, whose payoff is influenced by an unknown stochastic process, seeks the advice of an advisor, who may be informed about the process. We establish that there exists a strategy of the decision maker that will yield him an almost first-best payoff in every period when interacting with an informed advisor. An important feature of this strategy is that it only requires a fixed budget - regardless of the realizations of the stochastic process and whether or not the advisor is actually informed about it, the total payoff to the decision maker will never fall below a fixed threshold. The strategy also has the property that per-period compensation to the advisor is independent of the present realization of the process, and depends solely on the expected value of the advice as reported by the advisor.","PeriodicalId":373527,"journal":{"name":"PSN: Game Theory (Topic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"How to Buy Advice with Limited Instruments\",\"authors\":\"R. Gradwohl, Yuval Salant\",\"doi\":\"10.2139/ssrn.1791750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A decision maker, whose payoff is influenced by an unknown stochastic process, seeks the advice of an advisor, who may be informed about the process. We establish that there exists a strategy of the decision maker that will yield him an almost first-best payoff in every period when interacting with an informed advisor. An important feature of this strategy is that it only requires a fixed budget - regardless of the realizations of the stochastic process and whether or not the advisor is actually informed about it, the total payoff to the decision maker will never fall below a fixed threshold. The strategy also has the property that per-period compensation to the advisor is independent of the present realization of the process, and depends solely on the expected value of the advice as reported by the advisor.\",\"PeriodicalId\":373527,\"journal\":{\"name\":\"PSN: Game Theory (Topic)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PSN: Game Theory (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1791750\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PSN: Game Theory (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1791750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A decision maker, whose payoff is influenced by an unknown stochastic process, seeks the advice of an advisor, who may be informed about the process. We establish that there exists a strategy of the decision maker that will yield him an almost first-best payoff in every period when interacting with an informed advisor. An important feature of this strategy is that it only requires a fixed budget - regardless of the realizations of the stochastic process and whether or not the advisor is actually informed about it, the total payoff to the decision maker will never fall below a fixed threshold. The strategy also has the property that per-period compensation to the advisor is independent of the present realization of the process, and depends solely on the expected value of the advice as reported by the advisor.