IDEAS home Printed from https://ideas.repec.org/a/ags/joaaec/48764.html
   My bibliography  Save this article

Modeling Pork Supply Response and Price Volatility: The Case of Greece

Author

Listed:
  • Rezitis, Anthony N.
  • Stavropoulos, Konstantinos S.

Abstract

This paper examines the supply response of the Greek pork market. A GARCH process is used to estimate expected price and price volatility, while price and supply equations are estimated jointly. In addition to the standard GARCH model, several different symmetric, asymmetric, and nonlinear GARCH models are estimated. The empirical results indicate that among the estimated GARCH models, the quadratic NAGARCH model seems to better describe producers’ price volatility, which was found to be an important risk factor of the supply response function of the Greek pork market. Furthermore, the empirical findings show that feed price is an important cost factor of the supply response function and that high uncertainty restricts the expansion of the Greek pork sector. Finally, the model provides forecasts for quantity supplied, producers’ price, and price volatility.

Suggested Citation

  • Rezitis, Anthony N. & Stavropoulos, Konstantinos S., 2009. "Modeling Pork Supply Response and Price Volatility: The Case of Greece," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(01), pages 1-18, April.
  • Handle: RePEc:ags:joaaec:48764
    DOI: 10.22004/ag.econ.48764
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/48764/files/jaae209.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.48764?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Enrique Sentana, 1995. "Quadratic ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(4), pages 639-661.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. James Rude & Yves Surry, 2014. "Canadian Hog Supply Response: A Provincial Level Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(2), pages 149-169, June.
    2. He, Yongda & Lin, Boqiang, 2023. "Is market power the cause of asymmetric pricing in China's refined oil market?," Energy Economics, Elsevier, vol. 124(C).
    3. Mingyu Xu & Xin Lai & Yuying Zhang & Zongjun Li & Bohan Ouyang & Jingmiao Shen & Shiming Deng, 2024. "An Integrated Hog Supply Forecasting Framework Incorporating the Time-Lagged Piglet Feature: Sustainable Insights from the Hog Industry in China," Sustainability, MDPI, vol. 16(19), pages 1-24, September.
    4. Faruk Urak & Abdulbaki Bilgic & Gürkan Bozma & Wojciech J. Florkowski & Erkan Efekan, 2022. "Volatility in Live Calf, Live Sheep, and Feed Wheat Return Markets: A Threat to Food Price Stability in Turkey," Agriculture, MDPI, vol. 12(4), pages 1-24, April.
    5. Yoon, Jongyeol & Brown, Scott, 2017. "Examination of asymmetric supply response in the U.S. livestock industry," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252779, Southern Agricultural Economics Association.
    6. Shen Liu & Jing Wang & Chen Sun, 2022. "Asymmetric Price Transmission and Market Power: A Case of the Aquaculture Product Market in China," Sustainability, MDPI, vol. 14(22), pages 1-13, November.
    7. Tristan Le Cotty & Elodie Maître d'Hôtel & Moctar Ndiaye & Sophie S. Thoyer, 2021. "Input use and output price risks: the case of maize in Burkina Faso [Utilisation d'intrants et risques de prix : le cas du maïs au Burkina Faso]," Working Papers hal-03252026, HAL.
    8. Bicknell, Kathryn, 2011. "The Distributional Implications for Higher Farm Animal Welfare in New Zealand," 2011 Conference, August 25-26, 2011, Nelson, New Zealand 115418, New Zealand Agricultural and Resource Economics Society.
    9. Marwa Ben Abdallah & Maria Fekete-Farkas & Zoltan Lakner, 2021. "Exploring the Link between Food Security and Food Price Dynamics: A Bibliometric Analysis," Agriculture, MDPI, vol. 11(3), pages 1-19, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alex Huang, 2013. "Value at risk estimation by quantile regression and kernel estimator," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 225-251, August.
    2. Ding, Jing & Jiang, Lei & Liu, Xiaohui & Peng, Liang, 2023. "Nonparametric tests for market timing ability using daily mutual fund returns," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    3. Prosper Dovonon, 2013. "Conditionally Heteroskedastic Factor Models With Skewness And Leverage Effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(7), pages 1110-1137, November.
    4. Broto Carmen & Ruiz Esther, 2009. "Testing for Conditional Heteroscedasticity in the Components of Inflation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-30, May.
    5. Takaishi, Tetsuya, 2017. "Rational GARCH model: An empirical test for stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 451-460.
    6. Shehu Usman Rano Aliyu, 2012. "Does inflation have an impact on stock returns and volatility? Evidence from Nigeria and Ghana," Applied Financial Economics, Taylor & Francis Journals, vol. 22(6), pages 427-435, March.
    7. Alistair Mees & Berndt Pilgram, 2000. "Non-Linear Markov Modelling Using Canonical Variate Analysis: Forecasting Exchange Rate Volatility," Econometric Society World Congress 2000 Contributed Papers 1162, Econometric Society.
    8. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    9. Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2008. "Parameterizing Unconditional Skewness in Models for Financial Time Series," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 208-230, Spring.
    10. James Hansen & James McDonald & Panayiotis Theodossiou & Brad Larsen, 2010. "Partially Adaptive Econometric Methods For Regression and Classification," Computational Economics, Springer;Society for Computational Economics, vol. 36(2), pages 153-169, August.
    11. Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2004. "Likelihood-Based Estimation of Latent Generalized ARCH Structures," Econometrica, Econometric Society, vol. 72(5), pages 1481-1517, September.
    12. R'emy Chicheportiche & Jean-Philippe Bouchaud, 2012. "The fine-structure of volatility feedback I: multi-scale self-reflexivity," Papers 1206.2153, arXiv.org, revised Sep 2013.
    13. Mike K. P. So & Chi-Ming Wong, 2012. "Estimation of multiple period expected shortfall and median shortfall for risk management," Quantitative Finance, Taylor & Francis Journals, vol. 12(5), pages 739-754, March.
    14. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023. "Tail Forecasting With Multivariate Bayesian Additive Regression Trees," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
    15. Pierre Blanc & R'emy Chicheportiche & Jean-Philippe Bouchaud, 2013. "The fine structure of volatility feedback II: overnight and intra-day effects," Papers 1309.5806, arXiv.org, revised May 2014.
    16. Amengual, Dante & Fiorentini, Gabriele & Sentana, Enrique, 2013. "Sequential estimation of shape parameters in multivariate dynamic models," Journal of Econometrics, Elsevier, vol. 177(2), pages 233-249.
    17. Francq, Christian & Makarova, Svetlana & Zakoi[diaeresis]an, Jean-Michel, 2008. "A class of stochastic unit-root bilinear processes: Mixing properties and unit-root test," Journal of Econometrics, Elsevier, vol. 142(1), pages 312-326, January.
    18. Mencía, Javier & Sentana, Enrique, 2009. "Multivariate location-scale mixtures of normals and mean-variance-skewness portfolio allocation," Journal of Econometrics, Elsevier, vol. 153(2), pages 105-121, December.
    19. Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2009. "Asymmetric multivariate normal mixture GARCH," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2129-2154, April.
    20. Zaichao Du & Pei Pei, 2020. "Backtesting portfolio value‐at‐risk with estimated portfolio weights," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 605-619, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:joaaec:48764. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.