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Non‐storables, Simultaneity and Price Determination: The Australian (Finished) Live Cattle Market

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  • Barry A. Goss
  • S. Gulay Avsar

Abstract

Empirical studies of simultaneous rational expectations (RE) models of spot and futures markets for non‐storable commodities, such as finished live cattle, are rare. Indeed, only two countries, the US and Australia, have produced data sets for the study of such markets. This paper develops, and presents estimates of a simultaneous RE model of the live cattle market in Australia, the world's leading beef exporting country. The model contains functional relationships for short hedgers and short speculators, long hedgers and long speculators, and consumers, and is completed with a spot price equation and market clearing identity. Augmented Dickey‐Fuller and Phillips‐Perron tests for unit roots are executed, and Johansen cointegration tests are employed to investigate whether the I(1) variables are cointegrated. Structural equations are estimated by maximum likelihood when ARCH effects are present, by instrumental variables in the absence of serial correlation, and by non‐linear least squares when a correction for autocorrelation is required. The estimates of all structural parameters are significant at the five per cent level. Post‐sample, the model forecasts spot and futures prices with per cent RMSE's of 4.4 per cent and 2.5 per cent, respectively. In forecasting the spot price, the model outperforms but not significantly, a random walk, an ARIMA model, and a lagged futures price as a predictor of the spot price. The outcome of this last comparison implies that the efficient markets hypothesis cannot be rejected.

Suggested Citation

  • Barry A. Goss & S. Gulay Avsar, 1999. "Non‐storables, Simultaneity and Price Determination: The Australian (Finished) Live Cattle Market," Australian Economic Papers, Wiley Blackwell, vol. 38(4), pages 461-480, December.
  • Handle: RePEc:bla:ausecp:v:38:y:1999:i:4:p:461-480
    DOI: 10.1111/1467-8454.00068
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    Cited by:

    1. Pena-Levano, Luis M. & Ramirez, Octavio & Renteria-Pinon, Mario, 2015. "Efficiency Gains in Commodity Forecasting with High Volatility in Prices using Different Levels of Data Aggregation," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205740, Agricultural and Applied Economics Association.
    2. Pena-Levano, Luis M & Foster, Kenneth, 2016. "Efficiency gains in commodity forecasting using disaggregated levels versus more aggregated predictions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235792, Agricultural and Applied Economics Association.

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