{"title":"期权隐含货币风险溢价","authors":"Jakub W. Jurek, Zhikai Xu","doi":"10.2139/ssrn.2338585","DOIUrl":null,"url":null,"abstract":"We obtain ex ante estimates of risk premia for G10 currency pairs using cross-sectional data on exchange rate options. Option prices are well-matched by a non-Gaussian, two-factor model, consistent with evidence from realized currency returns. We find that option-implied currency risk premia provide an unbiased forecast of monthly currency excess returns, and achieve cross-sectional forecasting R^2s of up to 44%. Despite prominent non-normalities in option data, less than 20% of the model HML-FX risk premium, or roughly 70bps per annum, is due to the asymmetries and higher-moments of global risks.","PeriodicalId":381709,"journal":{"name":"ERN: International Finance (Topic)","volume":"115 17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Option-Implied Currency Risk Premia\",\"authors\":\"Jakub W. Jurek, Zhikai Xu\",\"doi\":\"10.2139/ssrn.2338585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We obtain ex ante estimates of risk premia for G10 currency pairs using cross-sectional data on exchange rate options. Option prices are well-matched by a non-Gaussian, two-factor model, consistent with evidence from realized currency returns. We find that option-implied currency risk premia provide an unbiased forecast of monthly currency excess returns, and achieve cross-sectional forecasting R^2s of up to 44%. Despite prominent non-normalities in option data, less than 20% of the model HML-FX risk premium, or roughly 70bps per annum, is due to the asymmetries and higher-moments of global risks.\",\"PeriodicalId\":381709,\"journal\":{\"name\":\"ERN: International Finance (Topic)\",\"volume\":\"115 17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: International Finance (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2338585\",\"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: International Finance (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2338585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We obtain ex ante estimates of risk premia for G10 currency pairs using cross-sectional data on exchange rate options. Option prices are well-matched by a non-Gaussian, two-factor model, consistent with evidence from realized currency returns. We find that option-implied currency risk premia provide an unbiased forecast of monthly currency excess returns, and achieve cross-sectional forecasting R^2s of up to 44%. Despite prominent non-normalities in option data, less than 20% of the model HML-FX risk premium, or roughly 70bps per annum, is due to the asymmetries and higher-moments of global risks.