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An evaluation of price forecasts of the cattle market under structural changes

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  • Guney, Selin

Abstract

The specific purpose of this paper is to investigate the potential of a time series analysis technique, namely the Time Varying Parameter Vector Autoregressive Model (TVPVAR) technique, in the development of daily forecasting models for cattle prices in the presence of structural changes. More specific objectives are to integrate smoothing techniques and stochastic volatility into TVPAR modeling framework based exclusively on time series for cash-cattle prices, and to compare the accuracy and evaluate the forecasting performance of this model with the standard VAR model based on forecast accuracy measures.

Suggested Citation

  • Guney, Selin, 2015. "An evaluation of price forecasts of the cattle market under structural changes," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205109, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea15:205109
    DOI: 10.22004/ag.econ.205109
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    File URL: https://ageconsearch.umn.edu/record/205109/files/TVPVAR%20Shortened.pdf
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    Cited by:

    1. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.

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    Keywords

    Agribusiness; Agricultural and Food Policy; Demand and Price Analysis; Farm Management; Livestock Production/Industries;
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