A robust Hansen-Sargent prediction formula
Kenneth Kasa
No 2000-11, Working Paper Series from Federal Reserve Bank of San Francisco
Abstract:
This paper derives a formula for the optimal forecast of a discounted sum of future values of a random variable. This problem reflects a preference for robustness in the presence of (unstructured) model uncertainty. The paper shows that revisions of a robust forecast are more sensitive to new information, and discusses the relevance of this result to previous findings of excess sensitivity of consumption and asset prices to new information.
Keywords: Forecasting; Consumption (Economics); Prices (search for similar items in EconPapers)
Date: 2000
References: Add references at CitEc
Citations:
Published in Economics Letters (April 2001, v. 71 no. 1, p43-48)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Journal Article: A robust Hansen-Sargent prediction formula (2001) 
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:fip:fedfwp:2000-11
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Working Paper Series from Federal Reserve Bank of San Francisco Contact information at EDIRC.
Bibliographic data for series maintained by Federal Reserve Bank of San Francisco Research Library ().