This paper investigates the price volatility interaction between the crude oil and equity markets in the US using five-minute data over the period 2009 to 2012. Our main findings can be summarised as follows. First, we find strong evidence to demonstrate that the integration of the bid-ask spread and trading volume factors leads to a better performance in predicting price volatility. Second, trading information, such as bid-ask spread, trading volume, and the price volatility from cross-markets, improves the price volatility predictability for both in-sample and out-of-sample analyses. Third, the trading strategy based on the predictive regression model that includes trading information from both markets provides significant utility gains to mean-variance investors.
History
Pagination
1-33
Language
eng
Notes
School working paper (Deakin University. School of Accounting, Economics and Finance) ; 2015/14
This paper investigates the price volatility interaction between the crude oil and equity markets in the US using five-minute data over the period 2009 to 2012. Our main findings can be summarised as follows. First, we find strong evidence to demonstrate that the integration of the bid-ask spread and trading volume factors leads to a better performance in predicting price volatility. Second, trading information, such as bid-ask spread, trading volume, and the price volatility from cross-markets, improves the price volatility predictability for both in-sample and out-of-sample analyses. Third, the trading strategy based on the predictive regression model that includes trading information from both markets provides significant utility gains to mean-variance investors.
Publication classification
CN.1 Other journal article
Copyright notice
2015, The Authors
Publisher
Deakin University, School of Accounting, Economics and Finance
Place of publication
Geelong, Vic.
Series
School Working Paper - Financial Econometrics Series ; SWP 2015/14