Data/hora: 02/06/2024 12:38:39

Provedor de dados: | 31
País: | United States
Título: | ECONOMIC CRITERIA FOR EVALUATING COMMODITY PRICE FORECASTS
Autores: | Dorfman,   Jeffrey H.; McIntosh,   Christopher S.
Data: | 2003-01-30
Ano: | 1997
Palavras-chave: | Commodity prices; Forecast evaluation; Value of information; Consumer/Household Economics.
Resumo: | Forecasts of economic time series are often evaluated according to their accuracy as measured by either quantitative precision or qualitative reliability.  We argue that consumers purchase forecasts for the potential utility gains from utilizing them, not for their accuracy.  Using Monte Carlo techniques to incorporate the temporal heteroskedasticity inherent in asset returns, the expected utility of a set of qualitative forecasts is simulated for corn and soybean futures prices.  Monetary values for forecasts of various reliability levels are derived.  The method goes beyond statistical forecast evaluation, allowing individuals to incorporate their own utility function and trading system into valuing a set of asset price forecasts.
Tipo: | Journal Article
Idioma: | Inglês

Identificador:

6946

http://purl.umn.edu/15060

Editor: | AgEcon Search
Relação: | Journal of Agricultural and Applied Economics&gt;Volume 29, Number 02, December 1997

Formato:

9

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