Factor Investing in Emerging Market Credits

Q4 Economics, Econometrics and Finance
Lennart Dekker, P. Houweling, Frederik Muskens
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引用次数: 5

Abstract

We examine factors in a novel dataset on the cross-section of emerging market hard currency corporate bonds. We find that the size, low-risk, value, and momentum factors predict future excess returns. Single-factor and multi-factor portfolios obtain economically and statistically significant premiums. Further, alphas remain significant after controlling for exposures to developed market credit factors. The factor portfolios benefit from bottom-up allocations to countries, sectors, ratings, and maturity segments, as well as from bond selection within these segments. Higher risk-adjusted returns of factor portfolios also can be found within liquid subsamples of the market. TOPICS: Fixed income and structured finance, emerging markets, analysis of individual factors/risk premia, portfolio construction Key Findings ▪ We examine factors in the cross-section of emerging market hard currency corporate bonds and find that the size, value, momentum, and low-risk factors predict future excess returns. ▪ Factor portfolios yield significant alphas in the Capital Asset Pricing Model, and a multi-factor portfolio that allocates equally to the four factors shows even stronger results, due to the low pairwise correlations among the individual factors. ▪ Alphas remain significant versus developed market credit factors, and the results hold within countries, sectors, ratings, maturities, and liquid subsamples.
新兴市场信贷要素投资
我们在一个关于新兴市场硬通货公司债券横截面的新数据集中研究了因素。我们发现,规模、低风险、价值和动量因素可以预测未来的超额收益。单因素和多因素投资组合获得了经济上和统计上显著的溢价。此外,在控制了发达市场信贷因素的风险敞口后,阿尔法仍然很重要。要素组合受益于自下而上对国家、部门、评级和到期日细分市场的分配,以及这些细分市场中的债券选择。在市场的流动性子样本中也可以发现因子投资组合的较高风险调整回报率。主题:固定收益和结构性金融、新兴市场、个别因素/风险溢价分析、投资组合构建关键发现▪ 我们考察了新兴市场硬通货公司债券的横截面因素,发现规模、价值、动量和低风险因素预测了未来的超额收益。▪ 在资本资产定价模型中,因子投资组合产生了显著的阿尔法,而由于单个因子之间的成对相关性较低,将四个因子平均分配的多因子投资组合显示出更强的结果。▪ 与发达市场信贷因素相比,阿尔法仍然很重要,结果在国家、行业、评级、到期日和流动性子样本中都适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Index Investing
Journal of Index Investing Economics, Econometrics and Finance-Finance
CiteScore
0.70
自引率
0.00%
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0
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