{"title":"How Common are Return Factors in Cryptocurrencies and Equities?","authors":"Guo Feng, Yulong Sun","doi":"10.2139/ssrn.3835627","DOIUrl":null,"url":null,"abstract":"Finance research contributes to finding factors to explain the cross-sectional expected equity and cryptocurrency returns. In this paper, we implement the statistical methods to evaluate the common factor structure of these two markets and aim to identify the possible common factors across two markets. By considering the comprehensive dataset covering cryptocurrencies and the U.S. equity universe, we find that there are no common pervasive factors that govern the returns for both cryptocurrencies and equities before 2019, but there arises one common factor post-2020. The identified common factor is significantly related to the standard equity factors but not the crypto factors, which suggests that equity factors can help explain the common variations in returns across equities and cryptocurrencies. The documented pattern is robust across different U.S. equity market classifications, return specifications, and implemented statistical methods. Moreover, we find this pattern holds at the international equity market level. Our results point to the arising of common factors driving the returns on these two markets. Specifically, it's the equity factors that contribute to explaining the cross-sectional cryptocurrency returns recently.","PeriodicalId":117729,"journal":{"name":"ERN: Other Econometric Modeling: International Financial Markets - Developed Markets (Topic)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Econometric Modeling: International Financial Markets - Developed Markets (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3835627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Finance research contributes to finding factors to explain the cross-sectional expected equity and cryptocurrency returns. In this paper, we implement the statistical methods to evaluate the common factor structure of these two markets and aim to identify the possible common factors across two markets. By considering the comprehensive dataset covering cryptocurrencies and the U.S. equity universe, we find that there are no common pervasive factors that govern the returns for both cryptocurrencies and equities before 2019, but there arises one common factor post-2020. The identified common factor is significantly related to the standard equity factors but not the crypto factors, which suggests that equity factors can help explain the common variations in returns across equities and cryptocurrencies. The documented pattern is robust across different U.S. equity market classifications, return specifications, and implemented statistical methods. Moreover, we find this pattern holds at the international equity market level. Our results point to the arising of common factors driving the returns on these two markets. Specifically, it's the equity factors that contribute to explaining the cross-sectional cryptocurrency returns recently.