Factor Investing in Credit

Q4 Economics, Econometrics and Finance Journal of Index Investing Pub Date : 2019-12-20 DOI:10.2139/ssrn.3512761
Harald Henke, Hendrik Kaufmann, Philip Messow, Jieyan Fang-Klingler
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引用次数: 16

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.
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信贷要素投资
本文研究了因子投资在公司债券中的应用。作者分析了在美元投资级别和高收益市场中的五种不同的纯长因子投资策略(价值、股票动量、套利、质量、规模)。这些因素可以解释公司债券超额收益横截面变化的很大一部分。从风险调整的角度来看,单一因素的组合是优越的。由于单个因素之间的相关性较低,组合的多因素信号受益于因素之间的多样化。信号混合策略特别适合于针对高α的主动方法。这一策略导致投资级别的阿尔法系数高达1.27%,高收益率的阿尔法系数为5.90%。相比之下,投资组合混合策略与更被动的方法更为一致,目标是低营业额和低跟踪误差。主题:基于因素的模型、风格投资、绩效衡量关键发现•作者发现美元计价公司债券的价值、股票动量、规模、结转和质量与未来回报之间存在着强烈的正相关关系。•由于单一因素的相关性结构很有吸引力,多因素策略进一步提高了风险回报率。•即使考虑到交易成本,作者的多因素策略也会导致IG(HY)的阿尔法系数高达1.27%(5.90%)。
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来源期刊
Journal of Index Investing
Journal of Index Investing Economics, Econometrics and Finance-Finance
CiteScore
0.70
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