{"title":"频域资产定价:理论与经验","authors":"Ian Dew-Becker, Stefano Giglio","doi":"10.2139/ssrn.2642879","DOIUrl":null,"url":null,"abstract":"We quantify investors’ preferences over the dynamics of shocks by deriving frequency-specific risk prices that capture the price of risk of consumption fluctuations at each frequency. The frequency-specific risk prices are derived analytically for leading models. The decomposition helps measure the importance of economic fluctuations at different frequencies. We precisely quantify the meaning of \"long-run\" in the context of Epstein-Zin preferences – centuries – and measure the exact relevance of business-cycle fluctuations. Finally, we estimate frequency-specific risk prices and show that cycles longer than the business cycle – long-run risks – are significantly priced in the equity market. Received January 13, 2015; accepted February 23, 2016 by Editor Leonid Kogan.","PeriodicalId":11800,"journal":{"name":"ERN: Stock Market Risk (Topic)","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"157","resultStr":"{\"title\":\"Asset Pricing in the Frequency Domain: Theory and Empirics\",\"authors\":\"Ian Dew-Becker, Stefano Giglio\",\"doi\":\"10.2139/ssrn.2642879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We quantify investors’ preferences over the dynamics of shocks by deriving frequency-specific risk prices that capture the price of risk of consumption fluctuations at each frequency. The frequency-specific risk prices are derived analytically for leading models. The decomposition helps measure the importance of economic fluctuations at different frequencies. We precisely quantify the meaning of \\\"long-run\\\" in the context of Epstein-Zin preferences – centuries – and measure the exact relevance of business-cycle fluctuations. Finally, we estimate frequency-specific risk prices and show that cycles longer than the business cycle – long-run risks – are significantly priced in the equity market. Received January 13, 2015; accepted February 23, 2016 by Editor Leonid Kogan.\",\"PeriodicalId\":11800,\"journal\":{\"name\":\"ERN: Stock Market Risk (Topic)\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"157\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Stock Market Risk (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2642879\",\"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: Stock Market Risk (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2642879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Asset Pricing in the Frequency Domain: Theory and Empirics
We quantify investors’ preferences over the dynamics of shocks by deriving frequency-specific risk prices that capture the price of risk of consumption fluctuations at each frequency. The frequency-specific risk prices are derived analytically for leading models. The decomposition helps measure the importance of economic fluctuations at different frequencies. We precisely quantify the meaning of "long-run" in the context of Epstein-Zin preferences – centuries – and measure the exact relevance of business-cycle fluctuations. Finally, we estimate frequency-specific risk prices and show that cycles longer than the business cycle – long-run risks – are significantly priced in the equity market. Received January 13, 2015; accepted February 23, 2016 by Editor Leonid Kogan.