Gold and Islamic Stocks: A Hedge and Safe Haven Comparison in Time - Grequency domain for BRICS

Raza, Naveed and Ibrahimy, Ahmad and Ali, Azwadi (2015): Gold and Islamic Stocks: A Hedge and Safe Haven Comparison in Time - Grequency domain for BRICS. Forthcoming in: Proceedings of the Asia Pacific Conference on Business and Social Sciences 2015, Kuala Lumpur (in partnership with The Journal of Developing Areas) No. ISBN 978-0-9925622-2-9 : pp. 1-20.

Abstract

ABSTRACT This paper has investigated the role of safe haven asset in time and frequency domain while comparing returns on gold and Dow Jones Islamic world Emerging Market index for two different crises periods by using the daily data from January 1st 1996 to December 31st 2014. Wavelet coherency has been utilized to ascertain the best time frequency to determine hedge and safe haven ability of gold. Our result indicates that gold maintain its capacity as hedging instrument for BRICS in short and long-run during Asian financial crises of 1997-98 and in 2007 global financial crises gold exhibits a weak safe haven in long-run and hedge or safe haven property of gold is market specific. Islamic stock index (DJIEM) and conventional stock markets are co-integrated except china where low correlation is witnessed. Gold has also played a leading role in world Islamic emerging markets and displayed negative correlation across a range of frequencies. Moreover, results of the panel co-integration depicted that the Islamic emerging and BRICS equity markets are co-integrated and global investor should carefully monitor the risk associated with the varying diversification benefits.

• Item Type: MPRA Paper
• Language: English
• Keywords: Gold, BRICS, Islamic stocks, Wavelet Coherency, Co-integration.
• Subjects: G - Financial Economics > G0 - General; G - Financial Economics > G0 - General > G01 - Financial Crises

References

Baur, D. G. and Lucey, B. M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217-229.

Abbes, M. B., & Trichilli, Y. (2015). Islamic stock markets and potential diversification benefits. Borsa Istanbul Review, 15(2), 93-105.

Ajmi, A. N., Hammoudeh, S., Nguyen, D. K., & Sarafrazi, S. (2014). How strong are the causal relationships between Islamic stock markets and conventional financial systems? Evidence from linear and nonlinear tests.Journal of International Financial Markets, Institutions and Money, 28, 213-227.

Al-Khazali, O., Lean, H. H., & Samet, A. (2014). Do Islamic stock indexes outperform conventional stock indexes? A stochastic dominance approach. Pacific-Basin Finance Journal, 28, 29-46.

Baur, D. G., & Glover, K. J. (2012). The destruction of a safe haven asset? Applied Finance Letters, 1(1), 8–15.

Baur, D. G., & Lucey, B. M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217-229.

Baur, D. G., & McDermott, T. K. (2010). Is gold a safe haven? International evidence. Journal of Banking & Finance, 34(8), 1886–1898.

Beckmann, J., Berger, T., &Czudaj, R. (2014). Does gold act as a hedge or a safe haven for stocks? A smooth transition approach. Economic Modelling.

Bredin, D., Conlon, T., &Potì, V. (2014). Does Gold Glitter in the Long-Run? Gold as a Hedge and Safe Haven Across Time and Investment Horizon. Gold as a Hedge and Safe Haven Across Time and Investment Horizon (August 20, 2014).

Breitung, J., and S. Das. 2005. Panel unit root tests under crosssectional dependence. Statistica Neerlandica 59: 414–433.

Charles, A., Darné, O., & Pop, A. (2015). Risk and ethical investment: Empirical evidence from Dow Jones Islamic indexes. Research in International Business and Finance, 35, 33-56.

Choudhry, T., Hassan, S. S., &Shabi, S. (2015). Relationship between gold and stock markets during the global financial crisis: Evidence from Nonlinear Causality Tests. International Review of Financial Analysis.

Ciner, C., Gurdgiev, C., &Lucey, B. M. (2013). Hedges and safe havens: An examination of stocks, bonds, gold, oil and exchange rates. International Review of Financial Analysis, 29, 202-211.

Dewandaru, G., Bacha, O. I., Masih, A. M. M., & Masih, R. (2015). Risk-return characteristics of Islamic equity indices: Multi-timescales analysis. Journal of Multinational Financial Management, 29, 115-138.

el Alaoui, A. O., Dewandaru, G., Rosly, S. A., & Masih, M. (2015). Linkages and co-movement between international stock market returns: Case of Dow Jones Islamic Dubai Financial Market index. Journal of International Financial Markets, Institutions and Money, 36, 53-70.

Gençay, R., Selcuk, B., &Whitcher, B. (2001). An introduction to wavelets and other filtering methods in finance and economics. San Diego, CA: Academic Press.

Ghazali, M. F., Lean, H. H., & Bahari, Z. (2014). Sharia compliant gold investment in Malaysia: Hedge or safe haven?. Pacific-Basin Finance Journal.

Gold Investor: Risk management and capital preservationwww.sharpspixley.com/uploads/gold-investor-vol-8.pdfMar 20, 2015 - Volume 8

Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11(5/6), 561–566.

Ho, C. S. F., Rahman, N. A. A., Yusuf, N. H. M., & Zamzamin, Z. (2014). Performance of global Islamic versus conventional share indices: International evidence. Pacific-Basin Finance Journal, 28, 110-121.

Hood, M., & Malik, F. (2013). Is gold the best hedge and a safe haven under changing stock market volatility?. Review of Financial Economics, 22(2), 47-52.

Imam, P., & Kpodar, K. (2013). Islamic banking: how has it expanded? Emerging Markets Finance and Trade, 49(6), 112e137.

Johansen, S., 1995. Likelihood-based Inference in Cointegrated Vector Autoregressive Models. Oxford University Press, Oxford.

Kao, C., 1999. Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics 90, 1–44.

Kumar, D. (2014). Return and volatility transmission between gold and stock sectors: Application of portfolio management and hedging effectiveness. IIMB Management Review, 26(1), 5-16.

Lean, H. H., & Wong, W. K. (2015). Is gold good for portfolio diversification? A stochastic dominance analysis of the Paris stock exchange. International Review of Financial Analysis.

Li, S., Lucey, B.M., 2014. What precious metals act as safe havens, and when? Some US evidence. Appl. Econ. Lett. http://dx.doi.org/10.1080/13504851.2014.920471

Lucey, B. M., & Li, S. (2015). What precious metals act as safe havens, and when? Some US evidence. Applied Economics Letters, 22(1), 35-45.

Mensi, W., Hammoudeh, S., Reboredo, J. C., & Nguyen, D. K. (2015). Are Sharia Stocks, Gold and US Treasuries Hedges and Safe Havens for the Oil-Based GCC Markets?. Emerging Markets Review.

Nagayev, R., & Masih, M. (2013). The Role of Gold as a Hedge and Safe Haven in Shariah-Compliant Portfolios. http://mpra.ub.uni-muenchen.de/58852/

Rizvi, S. A. R., Arshad, S., & Alam, N. (2015). Crises and contagion in Asia Pacific—Islamic v/s conventional markets. Pacific-Basin Finance Journal.

Rua, A., & Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16(4), 632–639.

Saiti, B., Bacha, O. I., & Masih, M. (2014). The diversification benefits from Islamic investment during the financial turmoil: The case for the US-based equity investors. Borsa Istanbul Review, 14(4), 196-211.

Shamsuddin, A. (2014). Are Dow Jones Islamic equity indices exposed to interest rate risk?. Economic Modelling, 39, 273-281.

Tiwari, A. K., Dar, A. B., Bhanja, N., Arouri, M., &Teulon, F. (2015). Stock returns and inflation in Pakistan. Economic Modelling, 47, 23-31.

Vacha, L., & Barunik, J. (2012). Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis. Energy Economics, 34(1), 241–247.

Walkshäusl, C., & Lobe, S. (2012). Islamic investing. Review of Financial Economics, 21(2), 53-62.

Wang, K. M., Lee, Y. M., &Thi, T. B. N. (2011). Time and place where gold acts as an inflation hedge: An application of long-run and short-run threshold model. Economic Modelling, 28(3), 806-819.