An Appraisal of Composite Forecasting Methods

David W. Park and William G. Tomek

Review of Agricultural Economics, 1988, vol. 10, issue 1, 1-11

Abstract: This paper assesses the potential benefits of composite forecasting methods as applied to commodity prices. Conditions under which composite forecasts are most applicable are examined. A Monte Carlo simulation and empirical examples are used to assess the benefits of composite forecasts and provide guidelines on the selection of appropriate methods. The importance of independent pieces of information and why composites cannot be a cure for poor forecasts under many realistic situations are discussed.

Date: 1988
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1093/ajae/10.1.1 (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:revage:v:10:y:1988:i:1:p:1-11.

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

Access Statistics for this article

More articles in Review of Agricultural Economics from Agricultural and Applied Economics Association Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ( this e-mail address is bad, please contact ) and Christopher F. Baum ().