{"title":"对冲基金Alpha -净零使用动态因子方法","authors":"Alex Lostado, L. Nilsson","doi":"10.2139/ssrn.3860453","DOIUrl":null,"url":null,"abstract":"Using a novel database, the NilssonHedge hedge fund database covering more than 350,000 return observations, we perform a large-scale multiple regression. We evaluate alpha against the Fama French five-factor model including momentum. Our findings are compatible with a net-zero alpha from hedge funds after fees, assuming frictionless factor implementation. On the positive side, our analysis reveals a substantial divergence between funds, leaving room for timing and selection opportunities within most of the strategies.","PeriodicalId":260048,"journal":{"name":"Capital Markets: Market Efficiency eJournal","volume":"72 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hedge Fund Alpha – Net Zero Using a Dynamic Factor Approach\",\"authors\":\"Alex Lostado, L. Nilsson\",\"doi\":\"10.2139/ssrn.3860453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using a novel database, the NilssonHedge hedge fund database covering more than 350,000 return observations, we perform a large-scale multiple regression. We evaluate alpha against the Fama French five-factor model including momentum. Our findings are compatible with a net-zero alpha from hedge funds after fees, assuming frictionless factor implementation. On the positive side, our analysis reveals a substantial divergence between funds, leaving room for timing and selection opportunities within most of the strategies.\",\"PeriodicalId\":260048,\"journal\":{\"name\":\"Capital Markets: Market Efficiency eJournal\",\"volume\":\"72 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Capital Markets: Market Efficiency eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3860453\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Capital Markets: Market Efficiency eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3860453","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hedge Fund Alpha – Net Zero Using a Dynamic Factor Approach
Using a novel database, the NilssonHedge hedge fund database covering more than 350,000 return observations, we perform a large-scale multiple regression. We evaluate alpha against the Fama French five-factor model including momentum. Our findings are compatible with a net-zero alpha from hedge funds after fees, assuming frictionless factor implementation. On the positive side, our analysis reveals a substantial divergence between funds, leaving room for timing and selection opportunities within most of the strategies.