{"title":"线性资产定价模型的简单错误检验","authors":"Antoine Giannetti","doi":"10.1007/s11408-024-00445-6","DOIUrl":null,"url":null,"abstract":"<p>A fundamental implication of asset pricing theory is that investors must earn risk-premiums for bearing exposure to systematic risk. The two-pass cross-sectional regression is a popular approach for risk-premium estimation. The empirical literature has found that this approach often delivers estimates that significantly differ from their time-series counterparts. The paper explores a test of model misspecification that exploits the difference between cross-sectional and time-series risk-premium estimates. The suggested approach complements traditional misspecification tests and may be applied as an alternative to the deployment of misspecification-robust standard errors to test risk-premium significance.</p>","PeriodicalId":44895,"journal":{"name":"Financial Markets and Portfolio Management","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A simple test of misspecification for linear asset pricing models\",\"authors\":\"Antoine Giannetti\",\"doi\":\"10.1007/s11408-024-00445-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A fundamental implication of asset pricing theory is that investors must earn risk-premiums for bearing exposure to systematic risk. The two-pass cross-sectional regression is a popular approach for risk-premium estimation. The empirical literature has found that this approach often delivers estimates that significantly differ from their time-series counterparts. The paper explores a test of model misspecification that exploits the difference between cross-sectional and time-series risk-premium estimates. The suggested approach complements traditional misspecification tests and may be applied as an alternative to the deployment of misspecification-robust standard errors to test risk-premium significance.</p>\",\"PeriodicalId\":44895,\"journal\":{\"name\":\"Financial Markets and Portfolio Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-02-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Financial Markets and Portfolio Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11408-024-00445-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Financial Markets and Portfolio Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11408-024-00445-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
A simple test of misspecification for linear asset pricing models
A fundamental implication of asset pricing theory is that investors must earn risk-premiums for bearing exposure to systematic risk. The two-pass cross-sectional regression is a popular approach for risk-premium estimation. The empirical literature has found that this approach often delivers estimates that significantly differ from their time-series counterparts. The paper explores a test of model misspecification that exploits the difference between cross-sectional and time-series risk-premium estimates. The suggested approach complements traditional misspecification tests and may be applied as an alternative to the deployment of misspecification-robust standard errors to test risk-premium significance.
期刊介绍：
The journal Financial Markets and Portfolio Management invites submissions of original research articles in all areas of finance, especially in – but not limited to – financial markets, portfolio choice and wealth management, asset pricing, risk management, and regulation. Its principal objective is to publish high-quality articles of innovative research and practical application. The readers of Financial Markets and Portfolio Management are academics and professionals in finance and economics, especially in the areas of asset management. FMPM publishes academic and applied research articles, shorter ''Perspectives'' and survey articles on current topics of interest to the financial community, as well as book reviews. All article submissions are subject to a double-blind peer review. http://www.fmpm.org
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