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Predictive Evaluation of Econometric Forecasting Models in Commodity Futures Markets

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Author Info
Zeng, T.
Swanson, N.R.

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Abstract

The predictive accuracy of various econometrics models, including random walks, vector autoregressive and vector error-correction models, are investigated using daily futures prices of 4 commodities (the S&P500 index, treasury bonds, gold and crude oil).

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Publisher Info
Paper provided by Pennsylvania State - Department of Economics in its series Papers with number 9-97-4.

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Length: 39 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:fth:pensta:9-97-4

Contact details of provider:
Postal: PENNSYLVANIA STATE UNIVERSITY, DEPARTMENT OF ECONOMICS, UNIVERSITY PARK PENNSYLVANIA 16802 U.S.A.
Phone: (814)865-1456
Fax: (814)863-4775
Web page: http://econ.la.psu.edu/
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Related research
Keywords: FORECASTS ECONOMIC MODELS ECONOMETRICS

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Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications

Cited by:
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  1. Matteo Manera & Chiara Longo & Anil Markandya & Elisa Scarpa, 2007. "Evaluating the Empirical Performance of Alternative Econometric Models for Oil Price Forecasting," Working Papers 2007.4, Fondazione Eni Enrico Mattei. [Downloadable!]
Statistics
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This page was last updated on 2009-6-13.


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