Volatility spillovers

  • 详情 Volatility Spillovers from the Chinese Stock Market to Economic Neighbours
    This paper examines whether there is evidence of spillovers of volatility from the Chinese stock market to its neighbours and trading partners, including Australia, Hong Kong, Singapore, Japan and USA. China's increasing integration into the global market may have important consequences for investors in related markets. In order to capture these potential eects, we explore these issues using an Autoregressive Moving Average (ARMA) return equation. A univariate GARCH model is then adopted to test for the persistence of volatility in stock market returns, as represented by stock market indices. Finally, univariate GARCH, multivariate VARMA-GARCH, and multivariate VARMA-AGARCH models are used to test for constant conditional correlations and volatility spillover eects across these markets. Each model is used to calculate the conditional volatility between both the Shenzhen and Shanghai Chinese markets and several other markets around the Pacic Basin Area, including Australia, Hong Kong, Japan, Taiwan and Singapore, during four distinct periods, beginning 27 August 1991 and ending 17 November 2010. The empirical results show some evidence of volatility spillovers across these markets in the pre-GFC periods, but there is little evidence of spillover eects from China to related markets during the GFC. This is presumably because the GFC was initially a US phenomenon, before spreading to developed markets around the globe, so that it was not a Chinese phenomenon.
  • 详情 Spillovers of the U.S. Subprime Financial Turmoil to Mainland China and Hong Kong Sar: Evidence from Stock Markets
    This paper focuses on evidence from stock markets as it investigates the spillovers from the United States to mainland China and Hong Kong SAR during the subprime crisis. Using both univariate and multivariate GARCH models, this paper finds that China's stock market is not immune to the financial crisis, as evidenced by the price and volatility spillovers from the United States. In addition, HK's equity returns have exhibited more significant price and volatility spillovers from the United States than China's returns, and past volatility shocks in the United States have a more persistent effect on future volatility in HK than in China, reflecting HK's role as an international financial center. Moreover, the impact of the volatility from the United States on China's stock markets has been more persistent than that from HK, due mainly to the United States as the origin of the subprime crisis. Finally, as expected, the conditional correlation between China and HK has outweighed their conditional correlations with the United States, echoing increasing financial integration between China and HK.
  • 详情 Volatility Spillovers between the US and the China Stock Market: Structural Break Test with Symmetric and Asymmetric GARCH Approach
    The paper examines the short-run spillover effect of daily stock returns and volatilities between the S&P 500 in the U.S. and Shanghai SSE composite in China. First, we find that a structural break happened in the SSE stock return mean in December 2005. Second, analyzing modified GARCH (1,1)-M models, we find evidence of a symmetric and asymmetric volatility spillover effect from the U.S. to the China stock market in the post-break period. Third, the symmetric volatility spillover effect from China to the U.S. is also observed in the post-break period.
  • 详情 Spillover Effects between Developed and Emerging Markets with Investment Obstacles: Theory and Empirical Evidence from Copper Futures Markets
    This paper provides a theoretical analysis of return and volatility spillover effects between developed and emerging futures markets with investment obstacles. It mainly focuses on analysis of the effects on equilibrium futures price, investors’ trading strategies and their wealth distributions in the emerging market. Three hypotheses are proposed. The first two assume that there is either return or volatility spillover between the two markets. The last one combines the first two together by assuming that there are both return and volatility spillovers between the markets. Our analysis results show that the equilibrium futures price, investors’ trading strategies and their wealth distributions in the emerging futures market are affected by (1) the scale of informed traders in the emerging market who form their expectations of delivery price by using the spillovers from the developed market, (2) the spillovers degree that the informed in the emerging market expect, and (3) whether there is return spillover or volatility spillover, or both. Overall, the findings suggest that if there are both return and volatility spillovers, then ignoring the volatility spillover, investors will make improper investment decisions so that the futures contracts could be overpriced and the traders’ wealth could be harmed. The theoretical analysis provide an important implication for empirical examination on the spillover effects between markets, that is, both return and volatility spillover effects should be considered jointly, otherwise the return spillover effects can be overestimated. Empirical examination in copper futures markets generally supports the conclusions drawn from our theoretical analysis.