{"title":"Choices Matter When Training Machine Learning Models for Return Prediction","authors":"Clint Howard","doi":"10.1080/0015198x.2024.2388024","DOIUrl":"https://doi.org/10.1080/0015198x.2024.2388024","url":null,"abstract":"Applying machine learning to cross-sectional stock return prediction requires careful consideration of modeling choices. Common approaches that fail to account for heterogeneity or imbalanced stock...","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"11 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Importance of Joining Lifecycle Models with Mean-Variance Optimization","authors":"Paul D. Kaplan, Thomas M. Idzorek","doi":"10.1080/0015198x.2024.2382672","DOIUrl":"https://doi.org/10.1080/0015198x.2024.2382672","url":null,"abstract":"For nearly three-quarters of a century, there has been a large separation between lifecycle finance models stemming from numerous Nobel laureates and the single-period mean-variance optimization-or...","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"32 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142185635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transaction Costs and Capacity of Systematic Corporate Bond Strategies","authors":"Alexey Ivashchenko, Robert Kosowski","doi":"10.1080/0015198x.2024.2360390","DOIUrl":"https://doi.org/10.1080/0015198x.2024.2360390","url":null,"abstract":"Can systematic corporate bond investments generate attractive returns net of costs? To answer this question, we apply the principle of market microstructure invariance and obtain bond transaction c...","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"12 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Axel Cabrol, Wolfgang Drobetz, Tizian Otto, Tatjana Puhan
{"title":"Predicting Corporate Bond Illiquidity via Machine Learning","authors":"Axel Cabrol, Wolfgang Drobetz, Tizian Otto, Tatjana Puhan","doi":"10.1080/0015198x.2024.2350952","DOIUrl":"https://doi.org/10.1080/0015198x.2024.2350952","url":null,"abstract":"This paper tests the predictive performance of machine learning methods in estimating the illiquidity of US corporate bonds. Machine learning techniques outperform the historical illiquidity-based ...","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"49 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nonlinear Factor Returns in the US Equity Market","authors":"Roger Clarke, Harindra de Silva, Steven Thorley","doi":"10.1080/0015198x.2024.2351020","DOIUrl":"https://doi.org/10.1080/0015198x.2024.2351020","url":null,"abstract":"We examine nonlinear return-to-characteristic relationships for five equity market factors: value, momentum, small size, low beta, and profitability. Our study employs monthly returns and character...","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"72 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141502792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Factor-Mimicking Portfolios for Climate Risk","authors":"Gianluca De Nard, Robert F. Engle, Bryan Kelly","doi":"10.1080/0015198x.2024.2332164","DOIUrl":"https://doi.org/10.1080/0015198x.2024.2332164","url":null,"abstract":"We propose and implement a procedure to optimally hedge climate change risk. First, we construct climate risk indices through textual analysis of newspapers. Second, we present a new approach to co...","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"8 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140927101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Blitz, Mike Chen, Clint Howard, Harald Lohre
{"title":"3D Investing: Jointly Optimizing Return, Risk, and Sustainability","authors":"David Blitz, Mike Chen, Clint Howard, Harald Lohre","doi":"10.1080/0015198x.2024.2335142","DOIUrl":"https://doi.org/10.1080/0015198x.2024.2335142","url":null,"abstract":"Traditional mean-variance portfolio optimization is based on the premise that investors only care about risk and return. However, some investors also have non-financial objectives such as sustainab...","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"39 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140832033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fundamental Analysis via Machine Learning","authors":"Kai Cao, Haifeng You","doi":"10.1080/0015198x.2024.2313692","DOIUrl":"https://doi.org/10.1080/0015198x.2024.2313692","url":null,"abstract":"We examine the efficacy of machine learning in a central task of fundamental analysis: forecasting corporate earnings. We find that machine learning models not only generate significantly more accu...","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"293 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140203671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roderick Molenaar, Edouard Sénéchal, Laurens Swinkels, Zhenping Wang
{"title":"Empirical Evidence on the Stock–Bond Correlation","authors":"Roderick Molenaar, Edouard Sénéchal, Laurens Swinkels, Zhenping Wang","doi":"10.1080/0015198x.2024.2317333","DOIUrl":"https://doi.org/10.1080/0015198x.2024.2317333","url":null,"abstract":"The correlation between stock and bond returns is a cornerstone of asset allocation decisions. History reveals abrupt regime shifts in correlation after long periods of relative stability. We inves...","PeriodicalId":48062,"journal":{"name":"Financial Analysts Journal","volume":"365 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140203603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}