Abstract
PurposeIn 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/approachThis paper uses (G) ARCH, (G) ARCH‐M, TARCH and EGARCH models to analyze volatility and its asymmetry of Chinese meat price.FindingsEstimation 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/valueThis 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.
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