Characteristics-driven returns in equilibrium

TL;DR

This paper derives a model linking asset returns to firm characteristics through equilibrium analysis, revealing how demand-driven factors explain anomalies like value and momentum, especially in low-dimensional settings.

Contribution

It introduces a reverse-engineered equilibrium framework that connects firm characteristics to returns and highlights the role of demand and fixed effects in explaining anomalies.

Findings

Returns depend linearly on firm characteristics in equilibrium.

Value and momentum anomalies are driven by firm-specific fixed effects.

Low-dimensional models may overlook demand-driven explanations.

Abstract

We reverse-engineer the equilibrium construction process of asset prices in order to obtain returns which depend on firm characteristics, possibly in a linear fashion. One key requirement is that agents must have demands that rely separately on firm characteristics and on the log-price of assets. Market clearing via exogenous (non-factor driven) supply, combined with linear demands in characteristics, yields the sought form. The coefficients in the resulting linear expressions are scaled net aggregate demands for characteristics, as well as their variations, and both can be jointly estimated via panel regressions. Conditions underpinning asset pricing anomalies are derived and underline the theoretical importance of the links between characteristics. Empirically, when the number of characteristics is small, the value and momentum anomalies are mostly driven by firm-specific fixed-effects, i.e., latent demands, which highlights the shortcomings of low-dimensional models.