Common Risk Factors in the Returns on Stocks, Bonds (and Options), Redux

95 Pages Posted: 13 Feb 2024 Last revised: 5 Nov 2024

See all articles by Zhongtian Chen

Zhongtian Chen

University of Pennsylvania - The Wharton School

Nikolai L. Roussanov

University of Pennsylvania - The Wharton School; National Bureau of Economic Research (NBER)

Xiaoliang Wang

University of Pennsylvania

Dongchen Zou

University of Pennsylvania - The Wharton School

Date Written: January 21, 2024

Abstract

Are there risk factors that are pervasive across major classes of corporate securities: stocks, bonds, and options? We employ a novel econometric procedure that relies on asset characteristics to estimate a conditional latent factor model. A common risk factor structure prominently emerges across asset classes. Several common factors explain a substantial amount of time-series variation of individual asset returns across all three asset classes, and have sizable Sharpe ratios. Several of our factors are highly correlated with some of asset-class-specific factors as well as macroeconomic and financial variables. While a small set of common factors does not fully capture the cross-section of average returns, imposing the factor structure is useful in practice, especially in out-of-sample analysis. A mean-variance efficient portfolio that utilizes asset characteristics achieves a high Sharpe ratio as different asset classes hedge each other's exposures to the common factors. 

Keywords: common factors, linear factor models, cross section, stock returns, corporate bond, option, nonparametric

JEL Classification: G0, G10, G12, G13

Suggested Citation

Chen, Zhongtian and Roussanov, Nikolai L. and Wang, Xiaoliang and Zou, Dongchen, Common Risk Factors in the Returns on Stocks, Bonds (and Options), Redux (January 21, 2024). The Wharton School Research Paper, Jacobs Levy Equity Management Center for Quantitative Financial Research Paper, Available at SSRN: https://ssrn.com/abstract=4703281 or http://dx.doi.org/10.2139/ssrn.4703281

Zhongtian Chen

University of Pennsylvania - The Wharton School ( email )

3641 Locust Walk
Philadelphia, PA 19104-6365
United States

Nikolai L. Roussanov (Contact Author)

University of Pennsylvania - The Wharton School ( email )

3641 Locust Walk
Philadelphia, PA 19104-6365
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Xiaoliang Wang

University of Pennsylvania ( email )

Philadelphia, PA 19104
United States

Dongchen Zou

University of Pennsylvania - The Wharton School ( email )

3641 Locust Walk
Philadelphia, PA 19104-6365
United States

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