{"title":"不完全信息、特殊波动率与股票收益","authors":"T. Berrada, J. Hugonnier","doi":"10.2139/ssrn.1361485","DOIUrl":null,"url":null,"abstract":"We develop a q-theoretic model of investment under incomplete information that explains the link between idiosyncratic volatility and stock returns. When calibrated to match properties of the US business cycles as well as various firms and industry characteristics, the model generates a negative relation between idiosyncratic volatility and stock returns. We show that conditional on earning surprises, the link is positive after good news and negative after bad news. This result provides new insights on the nature of stock return predictability.","PeriodicalId":206798,"journal":{"name":"Financial Economics 1","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"Incomplete Information, Idiosyncratic Volatility and Stock Returns\",\"authors\":\"T. Berrada, J. Hugonnier\",\"doi\":\"10.2139/ssrn.1361485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We develop a q-theoretic model of investment under incomplete information that explains the link between idiosyncratic volatility and stock returns. When calibrated to match properties of the US business cycles as well as various firms and industry characteristics, the model generates a negative relation between idiosyncratic volatility and stock returns. We show that conditional on earning surprises, the link is positive after good news and negative after bad news. This result provides new insights on the nature of stock return predictability.\",\"PeriodicalId\":206798,\"journal\":{\"name\":\"Financial Economics 1\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Financial Economics 1\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1361485\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Economics 1","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1361485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Incomplete Information, Idiosyncratic Volatility and Stock Returns
We develop a q-theoretic model of investment under incomplete information that explains the link between idiosyncratic volatility and stock returns. When calibrated to match properties of the US business cycles as well as various firms and industry characteristics, the model generates a negative relation between idiosyncratic volatility and stock returns. We show that conditional on earning surprises, the link is positive after good news and negative after bad news. This result provides new insights on the nature of stock return predictability.
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