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Analysis of meat price volatility in China

Author

Listed:
  • WanChun Luo
  • Rui Liu

Abstract

Purpose - In recent years, frequent volatility is deeply influencing meat industry, household lives and macroeconomics. The main purpose of this paper is to analyze the volatility of Chinese meat price, and provide suggestions on stabilizing the meat market. Design/methodology/approach - This paper uses (G) ARCH, (G) ARCH‐M, TARCH and EGARCH models to analyze volatility and its asymmetry of Chinese meat price. Findings - Estimation result of (G) ARCH model shows volatility clustering of meat price. Estimation result of (G) ARCH‐M model shows high risk and low return in beef market. ARCH and EGARCH models estimation results show non‐symmetry of volatility of beef, mutton and chicken price, and volatility caused by falling price is smaller than that caused by rising price. Originality/value - This paper shows that volatility of meat price can be predicted and Chinese meat market is not perfect, and special attention to the factors causing rise in meat price is necessary.

Suggested Citation

  • WanChun Luo & Rui Liu, 2011. "Analysis of meat price volatility in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 3(3), pages 402-411, September.
    • Handle: RePEc:eme:caerpp:v:3:y:2011:i:3:p:402-411
    DOI: 10.1108/17561371111165815
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    References listed on IDEAS

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    1. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    2. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    3. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    4. Rabemananjara, R & Zakoian, J M, 1993. "Threshold Arch Models and Asymmetries in Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 31-49, Jan.-Marc.
    5. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    6. Hibbert, Ann Marie & Daigler, Robert T. & Dupoyet, Brice, 2008. "A behavioral explanation for the negative asymmetric return-volatility relation," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2254-2266, October.
    7. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    8. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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