{"title":"美元与方差风险溢价失衡","authors":"Mads Markvart Kjær, Anders Merrild Posselt","doi":"10.1111/fire.12407","DOIUrl":null,"url":null,"abstract":"We present a novel predictor for the Dollar factor: variance risk premia imbalances (VPI), defined as the difference in variance risk premium between the U.S. and non‐U.S. countries. We argue that VPI theoretically proxies the average volatility differential between the U.S. and non‐U.S. stochastic discount factors. VPI significantly predicts monthly U.S. dollar movements, explains roughly 10% of next‐month Dollar factor variation, and generates significant economic value for investors. We rationalize our findings in a simple consumption‐based asset pricing model.","PeriodicalId":47617,"journal":{"name":"FINANCIAL REVIEW","volume":"58 1","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The U.S. Dollar and variance risk premia imbalances\",\"authors\":\"Mads Markvart Kjær, Anders Merrild Posselt\",\"doi\":\"10.1111/fire.12407\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a novel predictor for the Dollar factor: variance risk premia imbalances (VPI), defined as the difference in variance risk premium between the U.S. and non‐U.S. countries. We argue that VPI theoretically proxies the average volatility differential between the U.S. and non‐U.S. stochastic discount factors. VPI significantly predicts monthly U.S. dollar movements, explains roughly 10% of next‐month Dollar factor variation, and generates significant economic value for investors. We rationalize our findings in a simple consumption‐based asset pricing model.\",\"PeriodicalId\":47617,\"journal\":{\"name\":\"FINANCIAL REVIEW\",\"volume\":\"58 1\",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"FINANCIAL REVIEW\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/fire.12407\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"FINANCIAL REVIEW","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/fire.12407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
The U.S. Dollar and variance risk premia imbalances
We present a novel predictor for the Dollar factor: variance risk premia imbalances (VPI), defined as the difference in variance risk premium between the U.S. and non‐U.S. countries. We argue that VPI theoretically proxies the average volatility differential between the U.S. and non‐U.S. stochastic discount factors. VPI significantly predicts monthly U.S. dollar movements, explains roughly 10% of next‐month Dollar factor variation, and generates significant economic value for investors. We rationalize our findings in a simple consumption‐based asset pricing model.