New Orders and Asset Prices

Christopher S. Jones and Selale Tuzel

The Review of Financial Studies, 2013, vol. 26, issue 1, 115-157

Abstract: We investigate the asset pricing and macroeconomic implications of the ratio of new orders (NO) to shipments (S) of durable goods. NO/S measures investment commitments by firms, and high values of NO/S are associated with a business cycle peak. We find that NO/S proxies for a short-horizon component of risk premia not identified in prior work. Higher levels of NO/S forecast lower excess returns on equities and many types of bonds, at horizons from one month to one year. These effects are generally robust to the inclusion of common return predictors and are significant on an out-of-sample basis as well. We also address the term structure of risk premia by constructing a similar ratio to measure longer-term investment commitments, which predicts returns primarily at longer horizons. The Author 2012. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com., Oxford University Press.

Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://hdl.handle.net/10.1093/rfs/hhs098 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:rfinst:v:26:y:2013:i:1:p:115-157

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

The Review of Financial Studies is currently edited by Itay Goldstein

More articles in The Review of Financial Studies from Society for Financial Studies Oxford University Press, Journals Department, 2001 Evans Road, Cary, NC 27513 USA.. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().