We examine the dynamic relation between returns,volume,and volatility of our futures markets.The results show that there exists a positive correlation between absolute returns and volume,but no correlation between ret...We examine the dynamic relation between returns,volume,and volatility of our futures markets.The results show that there exists a positive correlation between absolute returns and volume,but no correlation between returns and volume; Granger causality demonstrate that no causality relation exists between returns (or absolute returns) and volume,except copper’s absolute returns causes volume;the conditional volatility of returns has no direct impact to futures returns; copper’ and soybean’ trading volume contributes strong explanatory power to volatility,but aluminous’ trading volume has no direct impact to volatility.展开更多
The aim of the present work is to examine whether the price volatility of nonferrous metal futures can be used to predict the aggregate stock market returns in China. During a sample period from January of 2004 to Dec...The aim of the present work is to examine whether the price volatility of nonferrous metal futures can be used to predict the aggregate stock market returns in China. During a sample period from January of 2004 to December of 2011, empirical results show that the price volatility of basic nonferrous metals is a good predictor of value-weighted stock portfolio at various horizons in both in-sample and out-of-sample regressions. The predictive power of metal copper volatility is greater than that of aluminum. The results are robust to alternative measurements of variables and econometric approaches. After controlling several well-known macro pricing variables, the predictive power of copper volatility declines but remains statistically significant. Since the predictability exists only during our sample period, we conjecture that the stock market predictability by metal price volatility is partly driven by commodity financialization.展开更多
文摘We examine the dynamic relation between returns,volume,and volatility of our futures markets.The results show that there exists a positive correlation between absolute returns and volume,but no correlation between returns and volume; Granger causality demonstrate that no causality relation exists between returns (or absolute returns) and volume,except copper’s absolute returns causes volume;the conditional volatility of returns has no direct impact to futures returns; copper’ and soybean’ trading volume contributes strong explanatory power to volatility,but aluminous’ trading volume has no direct impact to volatility.
基金Project(71071166)supported by the National Natural Science Foundation of China
文摘The aim of the present work is to examine whether the price volatility of nonferrous metal futures can be used to predict the aggregate stock market returns in China. During a sample period from January of 2004 to December of 2011, empirical results show that the price volatility of basic nonferrous metals is a good predictor of value-weighted stock portfolio at various horizons in both in-sample and out-of-sample regressions. The predictive power of metal copper volatility is greater than that of aluminum. The results are robust to alternative measurements of variables and econometric approaches. After controlling several well-known macro pricing variables, the predictive power of copper volatility declines but remains statistically significant. Since the predictability exists only during our sample period, we conjecture that the stock market predictability by metal price volatility is partly driven by commodity financialization.
