{"title":"非线性市场模型的收益解释能力与可预测性","authors":"C. Hung","doi":"10.2139/ssrn.1005138","DOIUrl":null,"url":null,"abstract":"Recent literature supports the pricing of higher-order systematic co-moments of returns. This paper provides some support for the quadratic-market model that is consistent with the three-moment CAPM in explaining time-series returns of the winner and the smallest size portfolios. This study further uses three innovative methodologies in analysing the ability of the linear CAPM, the quadratic- and the cubic-market models in predicting one-period- ahead returns on individual stocks, equally- and value-weighted portfolios of momentum, size and country sorts. The results are surprising but important that the higher-moment CAPM market models do not outperform the linear CAPM in the return predictability tests.","PeriodicalId":443277,"journal":{"name":"Durham Business School Research Paper Series","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Return Explanatory Ability and Predictability of Non-Linear Market Models\",\"authors\":\"C. Hung\",\"doi\":\"10.2139/ssrn.1005138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent literature supports the pricing of higher-order systematic co-moments of returns. This paper provides some support for the quadratic-market model that is consistent with the three-moment CAPM in explaining time-series returns of the winner and the smallest size portfolios. This study further uses three innovative methodologies in analysing the ability of the linear CAPM, the quadratic- and the cubic-market models in predicting one-period- ahead returns on individual stocks, equally- and value-weighted portfolios of momentum, size and country sorts. The results are surprising but important that the higher-moment CAPM market models do not outperform the linear CAPM in the return predictability tests.\",\"PeriodicalId\":443277,\"journal\":{\"name\":\"Durham Business School Research Paper Series\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Durham Business School Research Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1005138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Durham Business School Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1005138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Return Explanatory Ability and Predictability of Non-Linear Market Models
Recent literature supports the pricing of higher-order systematic co-moments of returns. This paper provides some support for the quadratic-market model that is consistent with the three-moment CAPM in explaining time-series returns of the winner and the smallest size portfolios. This study further uses three innovative methodologies in analysing the ability of the linear CAPM, the quadratic- and the cubic-market models in predicting one-period- ahead returns on individual stocks, equally- and value-weighted portfolios of momentum, size and country sorts. The results are surprising but important that the higher-moment CAPM market models do not outperform the linear CAPM in the return predictability tests.