Harald Henke, Hendrik Kaufmann, Philip Messow, Jieyan Fang-Klingler
{"title":"信贷要素投资","authors":"Harald Henke, Hendrik Kaufmann, Philip Messow, Jieyan Fang-Klingler","doi":"10.2139/ssrn.3512761","DOIUrl":null,"url":null,"abstract":"This article investigates the application of factor investing in corporate bonds. The authors analyze five different long-only factor investment strategies (Value, Equity Momentum, Carry, Quality, Size) within the USD investment grade and high yield market. These factors can explain a significant part of the cross-sectional variation in corporate bond excess returns. Combinations of the single factors turn out to be superior in risk-adjusted terms. Because the correlations between the single factors are low, a combined multi-factor signal benefits from diversification among the factors. A signal blending strategy is particularly suitable for active approaches targeting high alpha. This strategy leads to alphas up to 1.27% within investment grade and 5.90% within high yield. In contrast, a portfolio blending strategy is better aligned with more passive approaches, targeting low turnover and low tracking error. TOPICS: Factor-based models, style investing, performance measurement Key Findings • The authors find a strong positive relationship between Value, Equity Momentum, Size, Carry, and Quality and future returns for USD denominated corporate bonds. • Due to the attractive correlation structure of the single factors, a multifactor strategy enhances the risk return profile even further. • The authors’ multifactor strategy leads to alphas up to 1.27% (5.90%) in IG (HY) even after transactions costs are taken into account.","PeriodicalId":36431,"journal":{"name":"Journal of Index Investing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Factor Investing in Credit\",\"authors\":\"Harald Henke, Hendrik Kaufmann, Philip Messow, Jieyan Fang-Klingler\",\"doi\":\"10.2139/ssrn.3512761\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article investigates the application of factor investing in corporate bonds. The authors analyze five different long-only factor investment strategies (Value, Equity Momentum, Carry, Quality, Size) within the USD investment grade and high yield market. These factors can explain a significant part of the cross-sectional variation in corporate bond excess returns. Combinations of the single factors turn out to be superior in risk-adjusted terms. Because the correlations between the single factors are low, a combined multi-factor signal benefits from diversification among the factors. A signal blending strategy is particularly suitable for active approaches targeting high alpha. This strategy leads to alphas up to 1.27% within investment grade and 5.90% within high yield. In contrast, a portfolio blending strategy is better aligned with more passive approaches, targeting low turnover and low tracking error. TOPICS: Factor-based models, style investing, performance measurement Key Findings • The authors find a strong positive relationship between Value, Equity Momentum, Size, Carry, and Quality and future returns for USD denominated corporate bonds. • Due to the attractive correlation structure of the single factors, a multifactor strategy enhances the risk return profile even further. • The authors’ multifactor strategy leads to alphas up to 1.27% (5.90%) in IG (HY) even after transactions costs are taken into account.\",\"PeriodicalId\":36431,\"journal\":{\"name\":\"Journal of Index Investing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Index Investing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3512761\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Index Investing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3512761","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
This article investigates the application of factor investing in corporate bonds. The authors analyze five different long-only factor investment strategies (Value, Equity Momentum, Carry, Quality, Size) within the USD investment grade and high yield market. These factors can explain a significant part of the cross-sectional variation in corporate bond excess returns. Combinations of the single factors turn out to be superior in risk-adjusted terms. Because the correlations between the single factors are low, a combined multi-factor signal benefits from diversification among the factors. A signal blending strategy is particularly suitable for active approaches targeting high alpha. This strategy leads to alphas up to 1.27% within investment grade and 5.90% within high yield. In contrast, a portfolio blending strategy is better aligned with more passive approaches, targeting low turnover and low tracking error. TOPICS: Factor-based models, style investing, performance measurement Key Findings • The authors find a strong positive relationship between Value, Equity Momentum, Size, Carry, and Quality and future returns for USD denominated corporate bonds. • Due to the attractive correlation structure of the single factors, a multifactor strategy enhances the risk return profile even further. • The authors’ multifactor strategy leads to alphas up to 1.27% (5.90%) in IG (HY) even after transactions costs are taken into account.