{"title":"企业特征与全球股票收益:一个条件资产定价模型","authors":"Steffen Windmüller","doi":"10.1093/rapstu/raab024","DOIUrl":null,"url":null,"abstract":"This paper studies the relation between 36 firm-level characteristics and stock returns in 48 countries using instrumented principal components analysis. A non-U.S. country-neutral conditional factor model performs well in describing risk and returns and generates small and statistically insignificant anomaly intercepts when allowing for three or more latent factors. The non-U.S. model performs better in emerging than in developed markets, while showing substantial differences across countries. On average, only 10 characteristics significantly contribute to the models’ performance. Market beta, momentum, and firm size characteristics instrument for systemic exposure in U.S. and non-U.S. models, while investment and book-to-market do not. (JEL G11, G12, G14, G15)","PeriodicalId":21144,"journal":{"name":"Review of Asset Pricing Studies","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Firm Characteristics and Global Stock Returns: A Conditional Asset Pricing Model\",\"authors\":\"Steffen Windmüller\",\"doi\":\"10.1093/rapstu/raab024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the relation between 36 firm-level characteristics and stock returns in 48 countries using instrumented principal components analysis. A non-U.S. country-neutral conditional factor model performs well in describing risk and returns and generates small and statistically insignificant anomaly intercepts when allowing for three or more latent factors. The non-U.S. model performs better in emerging than in developed markets, while showing substantial differences across countries. On average, only 10 characteristics significantly contribute to the models’ performance. Market beta, momentum, and firm size characteristics instrument for systemic exposure in U.S. and non-U.S. models, while investment and book-to-market do not. (JEL G11, G12, G14, G15)\",\"PeriodicalId\":21144,\"journal\":{\"name\":\"Review of Asset Pricing Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2021-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Review of Asset Pricing Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/rapstu/raab024\",\"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":"Review of Asset Pricing Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/rapstu/raab024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Firm Characteristics and Global Stock Returns: A Conditional Asset Pricing Model
This paper studies the relation between 36 firm-level characteristics and stock returns in 48 countries using instrumented principal components analysis. A non-U.S. country-neutral conditional factor model performs well in describing risk and returns and generates small and statistically insignificant anomaly intercepts when allowing for three or more latent factors. The non-U.S. model performs better in emerging than in developed markets, while showing substantial differences across countries. On average, only 10 characteristics significantly contribute to the models’ performance. Market beta, momentum, and firm size characteristics instrument for systemic exposure in U.S. and non-U.S. models, while investment and book-to-market do not. (JEL G11, G12, G14, G15)
期刊介绍：
The Review of Asset Pricing Studies (RAPS) is a journal that aims to publish high-quality research in asset pricing. It evaluates papers based on their original contribution to the understanding of asset pricing. The topics covered in RAPS include theoretical and empirical models of asset prices and returns, empirical methodology, macro-finance, financial institutions and asset prices, information and liquidity in asset markets, behavioral investment studies, asset market structure and microstructure, risk analysis, hedge funds, mutual funds, alternative investments, and other related topics.
Manuscripts submitted to RAPS must be exclusive to the journal and should not have been previously published. Starting in 2020, RAPS will publish three issues per year, owing to an increasing number of high-quality submissions. The journal is indexed in EconLit, Emerging Sources Citation IndexTM, RePEc (Research Papers in Economics), and Scopus.
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