Abstract
This paper studies transmission of international energy price shocks to various sectors in the Australian stock market. We take the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) approach to modeling volatility and gather evidence that energy price shocks transmit to the price indices of various sectors classified by the global industry classification standard (GICS). We observe statistically significant dynamic movement of volatility in price returns of crude oil, coal and natural gas and different GICS sector indices on the Australian Stock Exchange. Finally, using the observed conditional covariance matrix, we compute optimal weights and hedge ratios for portfolios consisting of stocks from energy and other GICS sectors.
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