The Impact of Crude Oil Price on Islamic Stock Indices of Gulf Cooperation Council (GCC) Countries: A Comparative Analysis

Rithuan, Syahidah Hanis Meor and Abdullah, Ahmad Monir and Masih, Abul Mansur M. (2014): The Impact of Crude Oil Price on Islamic Stock Indices of Gulf Cooperation Council (GCC) Countries: A Comparative Analysis.

Abstract

An understanding of how volatilities of and correlations between commodity returns and Islamic stock indices change over time including their directions (positive or negative) and size (stronger or weaker) is of crucial importance for both the domestic and international investors with a view to diversifying their portfolios for hedging against unforeseen risks. This paper is the first attempt to add value to the existing literature by empirically testing for the ‘time-varying’ and ‘scale dependent’ correlations between the selected Islamic stock indices of Gulf Cooperation Council (GCC) countries and selected commodities. Particularly, by incorporating scale dependence, it is able to identify unique portfolio diversification opportunities for different set of investors bearing different investment horizons or holding periods. In order to address the research objectives, we have applied the vector error-correction model and several recently introduced appropriate wavelet decomposition techniques such as the Maximum Overlap Discrete Wavelet Transform (MODWT) and Continuous Wavelet Transform (CWT). The data used in this paper are the daily data of three commodities (crude oil, gold and corn) prices and Islamic stock indices from 1 June 2007 until 28 February 2014. Our findings tend to suggest that there is a theoretical relationship between the selected Islamic stock indices and selected commodities (as evidenced in the cointegration tests) and that the Islamic stock indices of Saudi Arabia, Oman and crude oil price are leading the other Islamic stock indices and the commodities (as evidenced in the Vector Error-Correction models). Our analysis based on the application of the recent wavelet technique MODWT indicates mixed results in that in the short run, the crude oil price is leading the other Islamic indices but in the long run, it is the other way around. From the point of view of portfolio diversification benefits, our results tend to suggest that an investor will obtain diversification benefit if his/her investment horizon is below 128 days (as evidenced in the continuous wavelet transform analysis). This result is consistent with the cointegration test that indicates that the diversification benefits for crude oil and the other Islamic indices is minimised in the long run because the variables under review tend to move together toward the same direction. Our analysis based on the recent applications of the wavelet decompositions helps us unveil the portfolio diversification opportunities for the investors with heterogeneous investment horizons or holding stocks over different periods.

• Item Type: MPRA Paper
• Language: English
• Keywords: Commodity, Islamic Stock Index Returns (ISIR), MODWT, CWT, Diversification, Causality
• Subjects: C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes; C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q43 - Energy and the Macroeconomy

References

Aloui, C., R. Jammazy, et al. (2008). "Crude oil market shocks and stock market returns." Journal of Energy Market 3: 69-96.

Baffes, J. (2007). "Oil spills on other commodities." Resources Policy 32(3): 126-134.

Bley, J. and K. H. Chen (2006). "Gulf Cooperation Council (GCC) stock markets: The dawn of a new era." Global Finance Journal 17(1): 75-91.

Cia, C. (2010). "The world factbook." Retrieved August 20: 2010.

Daubechies, I. (1992). Ten lectures on wavelets, SIAM.

Gallegati, M. (2008). "Wavelet analysis of stock returns and aggregate economic activity." Computational Statistics & Data Analysis 52(6): 3061-3074.

Gençay, R., F. Selçuk, et al. (2001). "Differentiating intraday seasonalities through wavelet multi-scaling." Physica A: Statistical Mechanics and its Applications 289(3): 543-556.

Gençay, R., F. Selçuk, et al. (2001). An introduction to wavelets and other filtering methods in finance and economics, Academic press.

Hammoudeh, S. and H. Li (2008). "Sudden changes in volatility in emerging markets: The case of Gulf Arab stock markets " International Review of Financial Analysis 17: 47-63.

In, F. and S. Kim (2013). An introduction to wavelet theory in finance. Singapore, World Scientific Publishing.

Jammazi, R. and C. Aloui (2010). "Wavelet decomposition and regime shifts: assessing the effects of crude oil shocks on stock market returns." Energy Policy 38(3): 1415-1435.

Madaleno, M. and C. Pinho (2012). "International stock market indices comovements: a new look." International Journal of Finance & Economics 17(1): 89-102.

Markowitz, H. (1959). "Portfolio selection: efficient diversification of investments." New York.

Masih, M., A. Al-Elg and H. Madani (2009). "Causality between Financial Development and Economic Growth: An Apllication of Vector Error Correction and Variance Decomposition Methods to Saudi Arabia." Applied Economics, 41 (13), 1691 - 1699 . Mehrara, M. (2007). "Energy consumption and economic growth: the case of oil exporting countries." Energy Policy 35(5): 2939-2945.

Nandha, M. and R. Faff (2008). "Does oil move equity prices? A global view." Energy Economics 30: 986-997.

Park, J. and R. A. Ratti (2008). "Oil price shocks and stock markets in the US and 13 European countries." Energy Economics 30(5): 2587-2608.

Percival, D. P. (1995). "On estimation of the wavelet variance." Biometrika 82(3): 619-631.

Pesaran, B. and M. H. Pesaran (2010). Time Series Econometrics Using Microfit 5.0: A User's Manual, Oxford University Press, Inc.

Ravichandran, K. and K. A. Alkhathlan (2010). "Impact of Oil Prices on GCC Stock Market." Research in Applied Economics 2(1)

Sadeghi, M. (2008). "Financial performance of Shariah-compliant investment: evidence from Malaysian stock market." International Research Journal of Finance and Economics 20: 15-26.

Whitcher, B., P. Guttorp, et al. (2000). "Wavelet analysis of covariance with application to atmospheric time series." Journal of Geophysical Research: Atmospheres (1984–2012) 105(D11): 14941-14962.