The Impact of Financial Crisis of 2007-2008 on Crude Oil Price

For better estimation of the impact of extreme events on crude oil price volatility, an EMD-based event analysis approach is proposed. In this method, the time series to be analyzed is first decomposed into several intrinsic modes with different time scales from fine-to-coarse and an average trend. The decomposed modes respectively capture the fluctuations caused by the extreme event or other factors during the analyzed period. The total impact of an extreme event is included in only one or several dominant modes, but other modes provide valuable information for subsequent factors. The effects of financial crisis of 2007-2008 to crude oil price are analyzed through this method and empirical results reveal that the EMD-based event analysis method provides a feasible solution to estimating the impact of extreme events on crude oil prices.

[1]  Chin W. Yang,et al.  An analysis of factors affecting price volatility of the US oil market , 2002 .

[2]  Kin Keung Lai,et al.  CRUDE OIL PRICE FORECASTING WITH TEI@I METHODOLOGY ∗ , 2005 .

[3]  George E. P. Box,et al.  Intervention Analysis with Applications to Economic and Environmental Problems , 1975 .

[4]  A. Mackinlay,et al.  Event Studies in Economics and Finance , 1997 .

[5]  Hua Han,et al.  Bandwidth Empirical Mode Decomposition and its Application , 2008, Int. J. Wavelets Multiresolution Inf. Process..

[6]  N. Huang,et al.  A study of the characteristics of white noise using the empirical mode decomposition method , 2004, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[7]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[8]  Byron Gangnes,et al.  Intervention analysis with cointegrated time series: the case of the Hawaii hotel room tax. , 1996 .

[9]  Steven P. Gygi,et al.  Large-scale phosphorylation analysis of mouse liver , 2007, Proceedings of the National Academy of Sciences.

[10]  Norden E. Huang,et al.  Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..

[11]  Yi-Ming Wei,et al.  A generalized pattern matching approach for multi-step prediction of crude oil price , 2008 .

[12]  J. Peter Ferderer,et al.  Oil price volatility and the macroeconomy , 1996 .

[13]  Zhaohua Wu,et al.  On the trend, detrending, and variability of nonlinear and nonstationary time series , 2007, Proceedings of the National Academy of Sciences.

[14]  K. Lai,et al.  A new approach for crude oil price analysis based on Empirical Mode Decomposition , 2008 .

[15]  Stephen G. Cecchetti Monetary Policy and the Financial Crisis of 2007-2008 , 2008 .