Crude oil price volatility has been analyzed extensively for organized spot, forward and futures markets for well over a decade, and is crucial for forecasting volatility and Value-at-Risk (VaR). There are four major benchmarks in the international oil market, namely West Texas Intermediate (USA), Brent (North Sea), Dubai/Oman (Middle East), and Tapis (Asia-Pacific), which are likely to be highly correlated. This paper analyses the volatility spillover effects across and within the four markets, using three multivariate GARCH models, namely the CCC, VARMA-GARCH and VARMA-AGARCH models. A rolling window approach is used to forecast the 1-day ahead conditional correlations. The paper presents evidence of volatility spillovers and asymmetric effects on the conditional variances for most pairs of series. In addition, the forecasted conditional correlations between pairs of crude oil returns have both positive and negative trends.

Additional Metadata
Keywords conditional correlations, crude oil spot prices, forward returns, futures returns, multivariate GARCH, spot returns, volatility spillovers
JEL Time-Series Models; Dynamic Quantile Regressions (jel C22), Time-Series Models; Dynamic Quantile Regressions (jel C32), Financial Forecasting (jel G17), Financing Policy; Capital and Ownership Structure (jel G32)
Publisher Erasmus School of Economics
Persistent URL
Series Econometric Institute Research Papers
Journal Report / Econometric Institute, Erasmus University Rotterdam
Chang, C-L, McAleer, M.J, & Tansuchat, R. (2009). Forecasting volatility and spillovers in crude oil spot, forward and future markets (No. EI 2009-12). Report / Econometric Institute, Erasmus University Rotterdam (pp. 1–24). Erasmus School of Economics. Retrieved from