Document Type

Article

Publication Date

9-2014

Publication Title

Finance Research Letters

Volume

11

Abstract

We test whether innovations in aggregate risk, interpolated from a vector autoregressive system that contains the Chen, Roll and Ross (1986) five factors as in Petkova (2006), are common factors in cross-sectional stock returns. We provide direct evidence that innovation in industrial production growth, a classical business-cycle variable that summarizes the state of the economy, is associated with the cross-sectional return predictability of individual stocks. We conclude that the role of innovation in aggregate risk is not random, and furthermore that it provides guidance concerning an important source of nonfinancial market-based risk in asset returns.

Issue

3

First Page

303

Last Page

317

DOI

10.1016/j.frl.2014.06.001

ISSN

1544-6123

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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Economics Commons

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