The Slope of the Term Structure and Recessions: The Pre-Fed Evidence, 1857-1913
Stefan Gerlach and
Rebecca Stuart
No 13013, CEPR Discussion Papers from C.E.P.R. Discussion Papers
Abstract:
This paper studies the information content of the slope of the term structure for recessions, using monthly US data spanning 1857-1913. We find that the term spread predicts future recessions up to about 12 months ahead, as does the current value of the recession dummy. We also find that stock prices are significant in the probit models we use to predict future recessions, but that business failures and growth in industrial production are generally insignificant. Overall, the results give broad support to the findings of Bordo and Haubrich (2004, 2008a, 2008b), who use quarterly data from 1875 to study the ability of the term structure to forecast real GNP growth. C25
Keywords: Term structure; Recessions; Federal Reserve (search for similar items in EconPapers)
JEL-codes: C25 E00 E43 (search for similar items in EconPapers)
Date: 2018-06
New Economics Papers: this item is included in nep-his and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
https://cepr.org/publications/DP13013 (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
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:cpr:ceprdp:13013
Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP13013
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().