Lim, Siok Jin (2020): Portfolio diversification opportunities for U.S. Islamic investors with its trading partners when the world catches a cold: A Multivariate-GARCH and wavelet approach.
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Abstract
The goal of this study is to analyse the co-movements and the portfolio diversification between the Islamic index of U.S. and its top trading partners, namely Canada, China, Mexico, Japan and Germany, using Morgan Stanley Capital International (MSCI) daily returns data from January 2013 to August 2020. We employed three main techniques: multivariate-GARCH-DCC, CWT and MODWT to analyse whether these markets have any diversification opportunities. Our findings reveal that, first, we observed that the U.S. Islamic index and its trading partners showed increased integration after U.S. implemented its first China-specific tariffs in 2018 and were closely integrated during the Covid-19 pandemic in 2020. Second, CWT results show that investors would gain diversification benefits in China and Mexico under specific investment horizons. Third, the results of MODWT shows Japan Islamic index provide short term diversification opportunity and Mexico Islamic index for longer term investments.
Item Type: | MPRA Paper |
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Original Title: | Portfolio diversification opportunities for U.S. Islamic investors with its trading partners when the world catches a cold: A Multivariate-GARCH and wavelet approach |
Language: | English |
Keywords: | Islamic stocks; trade war; Covid-19; portfolio diversification; MGARCH-DCC; Wavelets |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 104206 |
Depositing User: | Siok Jin Lim |
Date Deposited: | 17 Nov 2020 14:16 |
Last Modified: | 17 Nov 2020 14:16 |
References: | Aas, K., & Berg, D. (2013). Models for construction of multivariate dependence–a comparison study. In Copulae and Multivariate Probability Distributions in Finance (pp. 43-64). Routledge. Abdelsalam, O., Duygun, M., Matallín-Sáez, J. C., & Tortosa-Ausina, E. (2014). Do ethics imply persistence? The case of Islamic and socially responsible funds. Journal of Banking & Finance, 40, 182-194. Abdulkarim, F. M., Akinlaso, M. I., Hamid, B. A., & Ali, H. S. (2020). The nexus between oil price and islamic stock markets in Africa: A wavelet and Multivariate-GARCH approach. Borsa Istanbul Review, 20(2), 108-120. Aguiar-Conraria, L., & Soares, M. J. (2011). Oil and the macroeconomy: using wavelets to analyze old issues. Empirical Economics, 40(3), 645-655. Tiwari, A. K., Nasir, M. A., & Shahbaz, M. (2020). Synchronisation of policy related uncertainty, financial stress and economic activity in the United States. International Journal of Finance & Economics. Aloui, C., Hammoudeh, S., & Hamida, H. B. (2015). Price discovery and regime shift behavior in the relationship between sharia stocks and sukuk: A two-state Markov switching analysis. Pacific-Basin Finance Journal, 34, 121-135. Bahloul, S., Mroua, M., & Naifar, N. (2017). The impact of macroeconomic and conventional stock market variables on Islamic index returns under regime switching. Borsa Istanbul Review, 17(1), 62-74. Chevallier, J. (2012). Time-varying correlations in oil, gas and CO2 prices: an application using BEKK, CCC and DCC-MGARCH models. Applied Economics, 44(32), 4257- 4274. Chkili, W. (2017). Is gold a hedge or safe haven for Islamic stock market movements? A Markov switching approach. Journal of Multinational Financial Management, 42, 152- 163. Daelemans, B., Daniels, J. P., & Nourzad, F. (2018). Free trade agreements and volatility of stock returns and exchange rates: evidence from NAFTA. Open Economies Review, 29(1), 141-163. Fantazzini, D. (2009). Value at risk for high-dimensional portfolios: a dynamic grouped-T copula approach. The VAR IMPLEMENTATION HANDBOOK, McGraw-Hill, 253-282. Gençay, R., Selçuk, F., & Whitcher, B. (2002). An introduction to wavelets and other filtering methods in finance and economics. Waves in Random Media, 12(3), 399-399. Gjika, D., & Horvath, R. (2013). Stock market co-movements in Central Europe: Evidence from the asymmetric DCC model. Economic Modelling, 33, 55-64. 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. Jaffar, Y., Dewandaru, G., & Masih, M. (2018). Exploring Portfolio Diversification Opportunities Through Venture Capital Financing: Evidence from MGARCH-DCC, Markov Switching, and Wavelet Approaches. Emerging Markets Finance and Trade, 54(6), 1320-1336. Joyo, A. S., & Lefen, L. (2019). Stock market integration of Pakistan with its trading partners: A multivariate DCC-GARCH model approach. Sustainability, 11(2), 303. Karim, B. A., & Majid, M. S. A. (2010). Does trade matter for stock market integration?. Studies in Economics and Finance. Kearney, C., & Potì, V. (2006). Correlation dynamics in European equity markets. Research in International Business and Finance, 20(3), 305-321. Khan, M. H., Adnan, H. M., Kaur, S., Khuhro, R. A., Asghar, R., & Jabeen, S. (2019). Muslims’ representation in Donald Trump’s anti-Muslim-Islam statement: A critical discourse analysis. Religions, 10(2), 115. Lim, S. J., & Masih, M. (2017). Exploring portfolio diversification opportunities in Islamic capital markets through bitcoin: evidence from MGARCH-DCC and Wavelet approaches. Madaleno, M., & Pinho, C. (2012). International stock market indices comovements: a new look. International Journal of Finance & Economics, 17(1), 89-102. Najeeb, S. F., Bacha, O., & Masih, M. (2015). Does heterogeneity in investment horizons affect portfolio diversification? Some insights using M-GARCH-DCC and wavelet correlation analysis. Emerging Markets Finance and Trade, 51(1), 188-208. Neumann, R., & Geary, D. (2019). Reaching Muslims from the bully pulpit: Analyzing modern presidential discourse on Islam and Muslims from FDR to Trump. International Journal of Communication, 13, 23. Paramati, S. R., Gupta, R., & Roca, E. (2015). Stock market interdependence between Australia and its trading partners: does trade intensity matter? Applied Economics, 47 (49), 5303-5319. Paramati, S. R., Roca, E., & Gupta, R. (2016). Economic integration and stock market dynamic linkages: evidence in the context of Australia and Asia. Applied Economics, 48(44), 4210-4226. Parker, M. (2016). Robust growth of Islamic finance. New Straits Times. [online] Available at: https://www.nst.com.my/news/2016/06/151533/robust-growth-islamic-finance Pesaran, B., & Pesaran, M. H. (2007). Modelling volatilities and conditional correlations in futures markets with a multivariate t distribution. Rahim, A. M., & Masih, M. (2016). Portfolio diversification benefits of Islamic investors with their major trading partners: Evidence from Malaysia based on MGARCH-DCC and wavelet approaches. Economic Modelling, 54, 425-438. Rehman, M. U., Asghar, N., & Kang, S. H. (2020). Do Islamic indices provide diversification to bitcoin? A time-varying copulas and value at risk application. Pacific-Basin Finance Journal, 101326. Rizvi, S. A. R., & Arshad, S. (2014). An empirical study of Islamic equity as a better alternative during crisis using multivariate GARCH DCC. Islamic Economic Studies, 130(1155), 1-27. Siswantoro, D., Handika, R., & Mita, A. F. (2020). The requirements of cryptocurrency for money, an Islamic view. Heliyon, 6(1), e03235. Shehzad, K., Liu, X., Tiwari, A., Arif, M., & Rauf, A. (2020) Analysing time difference and volatility linkages between China and the United States during financial crises and stable period using VARX‐DCC‐MEGARCH model. International Journal of Finance & Economics. Sunar, L. (2017). The long history of Islam as a collective “other” of the west and the rise of Islamophobia in the US after Trump. Insight Turkey, 19(3), 35-52. Trabelsi, L., Bahloul, S., & Mathlouthi, F. (2020). Performance analysis of Islamic and conventional portfolios: The emerging markets case. Borsa Istanbul Review, 20(1), 48- 54. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/104206 |
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Portfolio diversification opportunities for U.S. Islamic investors with its trading partners when the world catches a cold: A Multivariate-GARCH and wavelet approach. (deposited 12 Oct 2020 13:37)
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