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The co-pricing factor zoo

Alexander Dickerson^1,2; Christian Julliard^3,4; Philippe Mueller⁵

¹ Reserve Bank of Australia · ² Department of Finance · ³ Centre for Economic Policy Research · ⁴ London School of Economics and Political Science · ⁵ University of Warwick

We analyze 18 quadrillion models for the joint pricing of corporate bond and stock returns. Strikingly, we find that equity and nontradable factors alone suffice to explain corporate bond risk premia once their Treasury term structure risk is accounted for, rendering the extensive bond factor literature largely redundant for this purpose. While only a handful of factors, behavioral and nontradable, are likely robust sources of priced risk, the true latent stochastic discount factor is dense in the space of observable factors. Consequently, a Bayesian Model Averaging Stochastic Discount Factor explains risk premia better than all low-dimensional models, in- and out-of-sample, by optimally aggregating dozens of factors that serve as noisy proxies for common underlying risks, yielding an out-of-sample Sharpe ratio of 1.5 to 1.8. This SDF, as well as its conditional mean and volatility, are persistent, track the business cycle and times of heightened economic uncertainty, and predict future asset returns.

DOI

10.1016/j.jfineco.2026.104295

Volume

182

Pages

104295

Language

en

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