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Financial market perceptions of recession risk Author info | Abstract | Publisher info | Download info | Related research | Statistics Thomas B. King
Andrew T. Levin
Roberto Perli
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Over the Great Moderation period in the United States, we find that corporate credit spreads embed crucial information about the one-year-ahead probability of recession, as evidenced by both in- and out-of-sample fit. Furthermore, the incidence of “false positive” predictions of recession is dramatically reduced by utilizing a bivariate model that includes a measure of credit spreads along with the slope of the yield curve; indeed, these bivariate models provide much better forecasting performance than any combination of univariate models. We also find that optimal (Bayesian) model combination strongly dominates simple averaging of model forecasts in predicting recessions.
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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number
2007-57.
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Date of creation: 2007Date of revision:
Handle: RePEc:fip:fedgfe:2007-57Contact details of provider: Postal: 20th Street and Constitution Avenue, NW, Washington, DC 20551 Web page: http://www.federalreserve.gov/ More information through EDIRC
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Keywords: Recessions Economic forecasting Other versions of this item:
This paper has been announced in the following NEP Reports :
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Arturo Estrella & Mary R. Trubin, 2006.
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