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Which Factors for Corporate Bond Returns?

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Listed:
  • Thuy Duong Dang
  • Fabian Hollstein
  • Marcel Prokopczuk
  • Zhiguo He

Abstract

Factors related to carry, duration, equity momentum, and the term structure are the most important risk factors in corporate bond markets. From a large set of factor candidates, we condense an optimal model with a two-step approach. First, we filter out factors that do not systematically move bond prices. Second, we use a Bayesian model selection approach to determine the optimal, parsimonious model. Many prominent factors do not move prices or are redundant. We document the new model’s good performance compared to that of existing models in time-series and cross-sectional tests and analyze the economic drivers of the factors.

Suggested Citation

  • Thuy Duong Dang & Fabian Hollstein & Marcel Prokopczuk & Zhiguo He, 2023. "Which Factors for Corporate Bond Returns?," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 13(4), pages 615-652.
  • Handle: RePEc:oup:rasset:v:13:y:2023:i:4:p:615-652.
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    File URL: http://hdl.handle.net/10.1093/rapstu/raad005
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    as
    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    2. Zhiguo He & Paymon Khorrami & Zhaogang Song, 2022. "Commonality in Credit Spread Changes: Dealer Inventory and Intermediary Distress," The Review of Financial Studies, Society for Financial Studies, vol. 35(10), pages 4630-4673.
    3. Guanhao Feng & Stefano Giglio & Dacheng Xiu, 2020. "Taming the Factor Zoo: A Test of New Factors," Journal of Finance, American Finance Association, vol. 75(3), pages 1327-1370, June.
    4. Barillas, Francisco & Kan, Raymond & Robotti, Cesare & Shanken, Jay, 2020. "Model Comparison with Sharpe Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(6), pages 1840-1874, September.
    5. Gospodinov, Nikolay & Robotti, Cesare, 2021. "Common pricing across asset classes: Empirical evidence revisited," Journal of Financial Economics, Elsevier, vol. 140(1), pages 292-324.
    6. Lewellen, Jonathan & Nagel, Stefan & Shanken, Jay, 2010. "A skeptical appraisal of asset pricing tests," Journal of Financial Economics, Elsevier, vol. 96(2), pages 175-194, May.
    7. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    8. Grace Xing Hu & Jun Pan & Jiang Wang, 2013. "Noise as Information for Illiquidity," Journal of Finance, American Finance Association, vol. 68(6), pages 2341-2382, December.
    9. Tobias Adrian & Erkko Etula & Tyler Muir, 2014. "Financial Intermediaries and the Cross-Section of Asset Returns," Journal of Finance, American Finance Association, vol. 69(6), pages 2557-2596, December.
    10. Kandel, Shmuel & Stambaugh, Robert F, 1995. "Portfolio Inefficiency and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 50(1), pages 157-184, March.
    11. Jack Bao & Jun Pan & Jiang Wang, 2011. "The Illiquidity of Corporate Bonds," Journal of Finance, American Finance Association, vol. 66(3), pages 911-946, June.
    12. Bekaert, Geert & De Santis, Roberto A., 2021. "Risk and return in international corporate bond markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    13. Chordia, Tarun & Goyal, Amit & Nozawa, Yoshio & Subrahmanyam, Avanidhar & Tong, Qing, 2017. "Are Capital Market Anomalies Common to Equity and Corporate Bond Markets? An Empirical Investigation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(4), pages 1301-1342, August.
    14. Gergana Jostova & Stanislava Nikolova & Alexander Philipov & Christof W. Stahel, 2013. "Momentum in Corporate Bond Returns," The Review of Financial Studies, Society for Financial Studies, vol. 26(7), pages 1649-1693.
    15. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    16. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    17. Kuntara Pukthuanthong & Richard Roll & Avanidhar Subrahmanyam, 2019. "A Protocol for Factor Identification," The Review of Financial Studies, Society for Financial Studies, vol. 32(4), pages 1573-1607.
    18. Dick-Nielsen, Jens & Feldhütter, Peter & Lando, David, 2012. "Corporate bond liquidity before and after the onset of the subprime crisis," Journal of Financial Economics, Elsevier, vol. 103(3), pages 471-492.
    19. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    20. Siddhartha Chib & Xiaming Zeng & Lingxiao Zhao, 2020. "On Comparing Asset Pricing Models," Journal of Finance, American Finance Association, vol. 75(1), pages 551-577, February.
    21. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    22. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    23. Connor, Gregory & Korajczyk, Robert A., 1988. "Risk and return in an equilibrium APT : Application of a new test methodology," Journal of Financial Economics, Elsevier, vol. 21(2), pages 255-289, September.
    24. Soosung Hwang & Alexandre Rubesam, 2022. "Bayesian Selection of Asset Pricing Factors Using Individual Stocks [Bayesian Variable Selection for the Seemingly Unrelated Regression Model with a Large Number of Predictors]," Journal of Financial Econometrics, Oxford University Press, vol. 20(4), pages 716-761.
    25. Juhani T Linnainmaa & Michael R Roberts, 2018. "The History of the Cross-Section of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2606-2649.
    26. Bektic, D. & Wenzler, J.-S. & Wegener, D. & Schiereck, D. & Spielmann, T., 2019. "Extending Fama–French Factors to Corporate Bond Markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 117111, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    27. Raymond Kan & Cesare Robotti & Jay Shanken, 2013. "Pricing Model Performance and the Two‐Pass Cross‐Sectional Regression Methodology," Journal of Finance, American Finance Association, vol. 68(6), pages 2617-2649, December.
    28. Shanken, Jay, 1992. "On the Estimation of Beta-Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 1-33.
    29. Bai, Jennie & Bali, Turan G. & Wen, Quan, 2019. "Common risk factors in the cross-section of corporate bond returns," Journal of Financial Economics, Elsevier, vol. 131(3), pages 619-642.
    30. Gebhardt, William R. & Hvidkjaer, Soeren & Swaminathan, Bhaskaran, 2005. "The cross-section of expected corporate bond returns: Betas or characteristics?," Journal of Financial Economics, Elsevier, vol. 75(1), pages 85-114, January.
    31. Siddhartha Chib & Xiaming Zeng, 2020. "Which Factors are Risk Factors in Asset Pricing? A Model Scan Framework," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 771-783, October.
    32. He, Zhiguo & Kelly, Bryan & Manela, Asaf, 2017. "Intermediary asset pricing: New evidence from many asset classes," Journal of Financial Economics, Elsevier, vol. 126(1), pages 1-35.
    33. Bali, Turan G. & Brown, Stephen J. & Tang, Yi, 2017. "Is economic uncertainty priced in the cross-section of stock returns?," Journal of Financial Economics, Elsevier, vol. 126(3), pages 471-489.
    34. Bektic, D. & Wenzler, J.-S. & Schiereck, D. & Spielmann, T., 2019. "Extending Fama-French Factors to Corporate Bond Markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 113059, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    35. Jeremiah Green & John R. M. Hand & X. Frank Zhang, 2017. "The Characteristics that Provide Independent Information about Average U.S. Monthly Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 30(12), pages 4389-4436.
    36. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," Review of Finance, European Finance Association, vol. 33(4), pages 1673-1736.
    37. Chung, Kee H. & Wang, Junbo & Wu, Chunchi, 2019. "Volatility and the cross-section of corporate bond returns," Journal of Financial Economics, Elsevier, vol. 133(2), pages 397-417.
    38. Choi, Jaewon & Kim, Yongjun, 2018. "Anomalies and market (dis)integration," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 16-34.
    39. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    40. Nils Friewald & Florian Nagler, 2019. "Over‐the‐Counter Market Frictions and Yield Spread Changes," Journal of Finance, American Finance Association, vol. 74(6), pages 3217-3257, December.
    41. Ahmed, Shamim & Bu, Ziwen & Tsvetanov, Daniel, 2019. "Best of the Best: A Comparison of Factor Models," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(4), pages 1713-1758, August.
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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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