Factor Investing in Emerging Market Credits
Lennart Dekker et al.
What the paper says
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. <b>TOPICS:</b>Fixed income and structured finance, emerging markets, analysis of individual factors/risk premia, portfolio construction <b>Key Findings</b> ▪ 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.
8 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.35 × 0.4 = 0.14 |
| M · momentum | 0.80 × 0.15 = 0.12 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.