{"title":"An Empirical Assessment of Characteristics and Optimal Portfolios","authors":"Christopher G Lamoureux, Huacheng Zhang","doi":"10.1093/rapstu/raae006","DOIUrl":null,"url":null,"abstract":"We implement a dynamically regularized, bootstrapped two-stage out-of-sample parametric portfolio policy to evaluate characteristics’ efficacy in the conditional stock return-generating process in the metric of expected power utility. Traditional characteristics, such as momentum and size afforded large utility gains before 1999. These opportunities have since vanished. Overfitting—imprecision in weight estimation—is correlated with the optimal portfolio’s variance. Therefore, it is not a problem for power utility investors with coefficients of relative aversion greater than four. For more risk-tolerant investors, we successfully reduce estimation error by increasing the curvature of the loss function relative to the investor’s utility function. (JEL L200; C110; C350)","PeriodicalId":21144,"journal":{"name":"Review of Asset Pricing Studies","volume":"13 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-03-18","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/raae006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
We implement a dynamically regularized, bootstrapped two-stage out-of-sample parametric portfolio policy to evaluate characteristics’ efficacy in the conditional stock return-generating process in the metric of expected power utility. Traditional characteristics, such as momentum and size afforded large utility gains before 1999. These opportunities have since vanished. Overfitting—imprecision in weight estimation—is correlated with the optimal portfolio’s variance. Therefore, it is not a problem for power utility investors with coefficients of relative aversion greater than four. For more risk-tolerant investors, we successfully reduce estimation error by increasing the curvature of the loss function relative to the investor’s utility function. (JEL L200; C110; C350)
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.