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Supply response and price volatility in the Greek broiler market

Author

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  • Anthony N. Rezitis

    (Department of Business Administration of Food and Agricultural Enterprises, School of Natural Resources and Enterprise Management, University of Ioannina, 2 G. Seferi Str. - Agrinio 30100, Greece)

  • Konstantinos S. Stavropoulos

    (Department of Business Administration of Food and Agricultural Enterprises, School of Natural Resources and Enterprise Management, University of Ioannina, 2 G. Seferi Str. - Agrinio 30100, Greece)

Abstract

The authors examine the supply response of the Greek broiler market. A generalized autoregressive conditional heteroskedasticity (GARCH) process is used to estimate expected price and price volatility; price and supply equations are estimated jointly. In addition to the standard GARCH model, several different symmetric, asymmetric, and nonlinear GARCH models are estimated. These models use different conditional variance specifications (linear or nonlinear) to grasp some additional empirical regularity of data like asymmetry. Asymmetric price volatility means that different volatility is recorded in the case of a fall in prices than an increase in prices by the same amount. The possible existence of asymmetry in the producer's price volatility gives useful information about market structure and possible market power. The empirical results indicate that among the estimated GARCH models the nonlinear asymmetric GARCH model (NAGARCH) seems to better describe producers' price volatility of the Greek broiler industry. Furthermore, the empirical findings show that price volatility is an important risk factor and broiler feed price is the most significant cost factor of the supply response function. Finally, the model provides forecasts for quantity supplied, producers' price, and price volatility. [EconLit. Classifications: Q110, C510, D200]. © 2010 Wiley Periodicals, Inc.

Suggested Citation

  • Anthony N. Rezitis & Konstantinos S. Stavropoulos, 2010. "Supply response and price volatility in the Greek broiler market," Agribusiness, John Wiley & Sons, Ltd., vol. 26(1), pages 25-48.
  • Handle: RePEc:wly:agribz:v:26:y:2010:i:1:p:25-48
    DOI: 10.1002/agr.20235
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    1. Rezitis Anthony N & Stavropoulos Konstantinos S, 2011. "Price Transmission and Volatility in the Greek Broiler Sector: A Threshold Cointegration Analysis," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 9(1), pages 1-37, July.
    2. Lenka Rumánková & T. Maier & J. Mach & L. Čechura & Z. Křístková & M. Malý & Z. Malá & P. Hálová, 2012. "Simulations at Czech poultry market," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(4), pages 327-334.
    3. Le Cotty, Tristan & Maître d'Hôtel, Elodie & Ndiaye, Moctar & Thoyer, Sophie, 2021. "Input use and output price risks: the case of maize in Burkina Faso," Working Papers MOISA 311226, Institut National de la recherché Agronomique (INRA), UMR MOISA : Marchés, Organisations, Institutions et Stratégies d'Acteurs : CIHEAM-IAMM, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
    4. Bahareh Mosadegh Sedghy & Rémy Lambert & Lota Dabio Tamini, 2016. "Supply response of corn farmers in Quebec: Analyzing the impact of prices volatility?," Cahiers de recherche CREATE 2016-1, CREATE.
    5. Bermpei, Theodora & Karadimitropoulou, Aikaterini & Triantafyllou, Athanasios & Alshalahi, Jebreel, 2023. "Does commodity price uncertainty matter for the cost of credit? Evidence from developing and advanced economies," Journal of Commodity Markets, Elsevier, vol. 29(C).

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