Federal Reserve and private forecasts of growth in investment
Hamid Baghestani
Journal of Economics and Business, 2011, vol. 63, issue 4, 290-305
Abstract:
This study examines the Federal Reserve and private forecasts of growth in both business and residential investment for 1983-2004 and reaches four main conclusions: First, in support of the asymmetric information hypothesis, the shorter (longer) horizon Federal Reserve forecasts of growth in business (residential) investment contain useful predictive information beyond that included in private forecasts. Second, the Federal Reserve forecasts are all biased. The same is true for the private forecasts of growth in residential (but not entirely for the forecasts of growth in business) investment. Third, the private forecasts overall do better than those of the Federal Reserve in outperforming the univariate forecasts. Fourth, the Federal Reserve and private forecasts of growth in business (residential) investment, while directionally accurate, imply symmetric (asymmetric) loss. We conclude this study by discussing the usefulness of these forecasts.
Keywords: Asymmetric; information; hypothesis; Monetary; policy; Survey; of; Professional; Forecasters; Directional; accuracy; Symmetric; and; asymmetric; loss (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148619510000627
Full text for ScienceDirect subscribers only
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:eee:jebusi:v:63:y:2011:i:4:p:290-305
Access Statistics for this article
Journal of Economics and Business is currently edited by Emanuele Bajo and Moritz Ritter
More articles in Journal of Economics and Business from Elsevier
Bibliographic data for series maintained by Catherine Liu ().