{"title":"经济周期长度不一致和不确定性下的资产定价","authors":"D. Andrei, B. Carlin, M. Hasler","doi":"10.2139/ssrn.3038497","DOIUrl":null,"url":null,"abstract":"We study an economy with incomplete information in which two agents are uncertain and disagree about the length of business cycles. That is, the agents do not question whether the economy is growing or not, but instead continuously estimate how long economic cycles will last—i.e., they learn about the persistence of fundamentals. Learning about persistence generates high and persistent stock return volatility mostly during recessions, but also (to a smaller extent) during economic booms. Disagreement among agents fluctuates and earns a risk premium. A clear risk–return trade-off appears only when conditioning on the sign and magnitude of disagreement. We confirm these predictions empirically. This paper was accepted by Neng Wang, finance.","PeriodicalId":291048,"journal":{"name":"ERN: Business Fluctuations; Cycles (Topic)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Asset Pricing with Disagreement and Uncertainty about the Length of Business Cycles\",\"authors\":\"D. Andrei, B. Carlin, M. Hasler\",\"doi\":\"10.2139/ssrn.3038497\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study an economy with incomplete information in which two agents are uncertain and disagree about the length of business cycles. That is, the agents do not question whether the economy is growing or not, but instead continuously estimate how long economic cycles will last—i.e., they learn about the persistence of fundamentals. Learning about persistence generates high and persistent stock return volatility mostly during recessions, but also (to a smaller extent) during economic booms. Disagreement among agents fluctuates and earns a risk premium. A clear risk–return trade-off appears only when conditioning on the sign and magnitude of disagreement. We confirm these predictions empirically. This paper was accepted by Neng Wang, finance.\",\"PeriodicalId\":291048,\"journal\":{\"name\":\"ERN: Business Fluctuations; Cycles (Topic)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Business Fluctuations; Cycles (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3038497\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Business Fluctuations; Cycles (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3038497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Asset Pricing with Disagreement and Uncertainty about the Length of Business Cycles
We study an economy with incomplete information in which two agents are uncertain and disagree about the length of business cycles. That is, the agents do not question whether the economy is growing or not, but instead continuously estimate how long economic cycles will last—i.e., they learn about the persistence of fundamentals. Learning about persistence generates high and persistent stock return volatility mostly during recessions, but also (to a smaller extent) during economic booms. Disagreement among agents fluctuates and earns a risk premium. A clear risk–return trade-off appears only when conditioning on the sign and magnitude of disagreement. We confirm these predictions empirically. This paper was accepted by Neng Wang, finance.