Chen, Bai and Masih, Mansur (2017): Are the Islamic and conventional money markets really highly correlated ? MGARCH-DCC and Wavelet approaches.
Preview |
PDF
MPRA_paper_79886.pdf Download (1MB) | Preview |
Abstract
Criticisms of Islamic banks and financial products motivate us to re-examine whether the profit rate of Islamic financial products and conventional interest rate are highly related or not. It is well known that interest rate is highly influenced by the economic policies, so, in this research we will check the relation between several rates (Islamic and conventional) of return and economic policy uncertainty index respectively to make a judgement on the criticisms. We applied MGARCH-DCC and Continuous Wavelet Transform analyses to see the relations of these variables among different time scales with data collected from different sources. Unlike previous studies, economic policy is incorporated in the analyses in order to explain the issue. Our results tend to indicate that the Islamic profit- and- loss sharing (PLS) rates have divergent relations with interest rates. Islamic Murabahah profit rate is less correlated with LIBOR, while Islamic Mudarabah profit rate is highly correlated with LIBOR. That shows both the uniqueness and similarity of Islamic financial products with the conventional interest rate. Hence the policy makers, if they intend to, can make Islamic money market more independent of the influence of conventional market.
Item Type: | MPRA Paper |
---|---|
Original Title: | Are the Islamic and conventional money markets really highly correlated ? MGARCH-DCC and Wavelet approaches |
English Title: | Are the Islamic and conventional money markets really highly correlated ? MGARCH-DCC and Wavelet approaches |
Language: | English |
Keywords: | MGARCH; Wavelet; PLS; Islamic profit rate; Murabahah; Mudarabah; LIBOR |
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 > G11 - Portfolio Choice ; Investment Decisions G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 79886 |
Depositing User: | Professor Mansur Masih |
Date Deposited: | 27 Jun 2017 14:00 |
Last Modified: | 27 Sep 2019 02:07 |
References: | Chong, B. S., and Liu, M. H. (2009). Islamic banking: interest-free or interest-based? Pacific-Basin Finance Journal, 17(1), 125-144. Daher, H., Masih, M., and Ibrahim, M. (2015). The unique risk exposures of Islamic banks’ capital buffers: A dynamic panel data analysis. Journal of International Financial Markets, Institutions and Money, 36, 36-52. Relasari, I. M., and Soediro, A. (2017). Empirical Research on Rate of Return, Interest Rate and Mudharabah Deposit. In SHS Web of Conferences. 34, EDP Sciences. Ismal, R. (2013). Islamic banking in Indonesia: new perspectives on monetary and financial issues. John Wiley & Sons. Kaleem, A., and Isa, M. M. (2003). Causal relationship between Islamic and conventional banking instruments in Malaysia. International Journal of Islamic Financial Services, 4(4), 1-8. Hamza, H. (2016). Does investment deposit return in Islamic banks reflect PLS principle? Borsa Istanbul Review, 16(1), 32-42. Khan, M. S. (1986). Islamic interest-free banking: a theoretical analysis. Staff Papers, 33(1), 1-27. Almsafir, M. K., and Alsmadi, A. A. (2014). Murabahah versus interest rate, the equilibrium relationship with macroeconomic variables in Jordanian economy: An ARDL approach. Procedia-social and behavioral sciences, 129, 349-357. Sukmana, R., and Ibrahim, M. H. (2017). How Islamic are Islamic banks? A non-linear assessment of Islamic rate–conventional rate relations. Economic Modelling, 62, 51 – 67. Friedman, M. (1968). The role of monetary policy, American Economic Review, 58(1), 1 -17. Madura, J. (2017). Financial markets and institutions, Cengage. Engle, R. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20 (3), 339-350. Nagayev, R., Disli, M., Inghelbrecht, K., and Ng, A. (2016). On the dynamic links between commodities and Islamic equity. Energy Economics, 58, 125-140. Pesaran, B., and Pesaran, M. H. (2009). MICROFIT 5.0 Windows Commercial Single User. Daubechies, I. (1992), Ten Lectures on Wavelets, Volume 61 of CBMS-NSF Regional Conference Series in Applied Mathematics, Philadelphia, Society for Industrial and Applied Mathematics. In, F. and Kim, S. (2013). An introduction to wavelet theory in finance. Singapore, World Scientific Publishing. Gencay, R., Selcuk, F. and Whitcher, B. (2001), Differentiating intraday seasonalities through wavelet multi-scaling, Physica A, 289, 543–556. Gencay, R., Selcuk, F. and Whitcher, B. (2002). An Introduction to Wavelets and Other Filtering Methods in Finance and Economics. Academic Press, San Diego: CA. Madaleno, M. and Pinto, C. (2012) International stock market indices comovements: A new look, International Journal of Finance and Economics, 17, 89 -102 Zainol, Z. and Kassim, S. (2010). An analysis of Islamic banks' exposure to rate of return risk. Journal of Economic Cooperation and Development, 31(1), 59-84. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/79886 |