This paper extends the work in Wang, Liu and Gu (2009) [Analysis of efficiency for Shenzhen stock market based on multifractal detrended fluctuation analysis. International Review of Financial Analysis, 18, 271-276] by investigating the dynamics of two main sources of multifractality over time....

This paper extends the work of Kang et al. (2009). We use a greater number of linear and nonlinear generalized autoregressive conditional heteroskedasticity (GARCH) class models to capture the volatility features of two crude oil markets -- Brent and West Texas Intermediate (WTI). The one-,...

This paper extends the work in Tabak and Cajueiro [Are the crude oil markets becoming weakly efficient over time, Energy Economics 29 (2007) 28-36] and Alvarez-Ramirez et al. [Short-term predictability of crude oil markets: a detrended fluctuation analysis approach, Energy Economics 30 (2008)...

This paper investigates the issue whether GARCH-type models can well capture the long memory widely existed in the volatility of WTI crude oil returns. In this frame, we model the volatility of spot and futures returns employing several GARCH-class models. Then, using two non-parametric methods,...

While the impacts of oil price changes on agricultural commodity markets are of great interest to economists, previous studies do not differentiate oil-specific shocks from aggregate demand shocks. In this paper, we address this issue using a structural VAR analysis. Our findings indicate that...

In this paper, we explore the strategy on hedging crude oil using refined product. We develop a regime switching asymmetric DCC (RS-ADCC) model by taking into account both of regime switching and asymmetry in correlations. Our out-of-sample findings indicate that RS-ADCC displays greater hedging...

The multifractal nature of WTI and Brent crude oil markets is studied employing the multifractal detrended fluctuation analysis. We find that two crude oil markets become more and more efficient for long-term and two Gulf Wars cannot change time scale behavior of crude oil return series....

In this study, we forecast economic policy uncertainty (EPU) using input on 23 commodity price changes. We reveal the significant predictability of EPU using three forecast combinations. This indicates that commodity price changes can be taken as a leading indicator of EPU.

In this paper, we forecast excess stock returns of S&P 500 index from January 1997 to December 2012 using both well-known traditional macroeconomic indicators and oil market variables. Based on a dynamic model selection approach, we find that the forecasting accuracy can be improved after adding...