Academic Research Insight: Can Bond Portfolios Be “Factorized”?

/Academic Research Insight: Can Bond Portfolios Be “Factorized”?

Academic Research Insight: Can Bond Portfolios Be “Factorized”?

By | 2017-08-18T17:11:05+00:00 August 14th, 2017|Factor Investing, Basilico, Research Insights|0 Comments

What are the research questions?

  1. Can the concepts contained in equity “factors” translate to the corporate bond market?
  2. Do single factor bond portfolios generate alpha?
  3. Do multifactor bond portfolios contribute additional value?

What are the Academic Insights?

  1. YES. Using bond characteristics only, definitions for Value (based on differential between actual vs “fair” credit spread), Low Risk (based on maturity, and credit rating), Momentum (based on previous six month return with one month lag) and Size (based on total company debt) were defined and used to construct single and multifactor portfolios.
  2. YES. For the Investment Grade universe of bonds and using the IG bond market return as the risk adjustment, positive alphas were observed for Size (1.12% sig), Low Risk (.41% not sig), Value (1.3% not sig) and Momentum (.30% not sig) factors.  For the High Yield universe of bonds, and using the HY bond market return as the risk adjustment, positive alphas were observed for Size (5.5% sig), Low Risk (1.45% not sig), Value (4.26% sig) and Momentum (2.04% sig) factors.
  3. YES. When combined into a multifactor bond portfolio, large reductions in tracking error, increases in the information ratio as well as significant alphas were observed. Outperformance relative to the IG and HY bond markets were .78% (sig) for the IG multifactor bond portfolio and 3.31%(sig)  for the HY multifactor bond portfolio.

Returns were presented after transactions costs.

Why does it matter?

The few existing studies on factors in the corporate bond market examine only one or two factors. This study includes four factors using a consistent methodology throughout the single data set.  The time period covered 1994-2015.  The authors used monthly constituent data from the Barclays U.S. Corporate Investment Grade Index and the Barclays U.S. Corporate High Yield Index.

The results indicate that investors should explicitly include factors in their strategic allocation to the corporate bond market. Performance attributes of multifactor bond portfolios include diversification benefits, lower tracking error (risk); and higher information ratios (return to risk).

The authors conducted robustness tests with respect to the factor definitions used and found that although equity factor definitions do produce alpha when applied to bonds, they are lower (with the exception of momentum) than when bond specific definitions are used.

What is the most important chart from the paper?

The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

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About the Author:

Tommi Johnsen, PhD
Dr. Tommi Johnsen, until retirement in 2017, was the Director of the Reiman School of Finance and a tenured faculty at the Daniels College of Business at the University of Denver.She has worked extensively as a consultant and investment advisor in the areas of quantitative methods and portfolio construction. She taught at the graduate and undergraduate level and published research in several areas including: capital markets, portfolio management and performance analysis, financial applications of econemetrics and the analysis of equity securities. Her publications have appeared in numerous peer-reviewed journals.