Kamaruzdin, Thaqif and Masih, Mansur (2014): An inquiry into the stability of Islamic Financial Services Institutions in terms of volatility, risk and correlations: A case study of Malaysia employing M-GARCH t-DCC and MODWT Wavelet approaches.
Preview |
PDF
MPRA_paper_60248.pdf Download (648kB) | Preview |
Abstract
Islamic Finance as an industry in recent times has been celebrated for its stability and resilience. With the philosophy of risk sharing and strict rules governing its activities to be in line with Islamic Law (the Shariah), the industry is seen as an alternative to the conventional finance with its tainted image of profit maximizing at any cost causing the Global Financial Crisis of 2008 - 2009. Given this claim it would be interesting to investigate the stability of the Islamic Financial Services Institutions (IFSIs) in comparison to the conventional sector. The Malaysian IFSIs were chosen as a case study as the Malaysia‟s Islamic Finance industry developed in the world with strict Shariah screening. As such, the Malaysian IFSIs are investigated to gain insights into their performance in terms of volatility and correlations with the market and then compared to their competitors by employing an M-GARCH t-DCC and also MODWT Wavelet technique to further dissect this volatility into their contributions from the point of view of different time scales. The findings are that IFSIs are much more volatile than their competitors with seemingly independent spikes in volatility unique to themselves but are low in correlation to the market implying that IFSIs volatility may be independent of the market due to assets that require the risk taking in order to justify earnings. IFSIs may need to cooperate in developing risk management standards and practices to mitigate risk that are unique to themselves as well as review the contracts and assets that may expose the IFSIs to too much risk.
Item Type: | MPRA Paper |
---|---|
Original Title: | An inquiry into the stability of Islamic Financial Services Institutions in terms of volatility, risk and correlations: A case study of Malaysia employing M-GARCH t-DCC and MODWT Wavelet approaches |
English Title: | An inquiry into the stability of Islamic Financial Services Institutions in terms of volatility, risk and correlations: A case study of Malaysia employing M-GARCH t-DCC and MODWT Wavelet approaches |
Language: | English |
Keywords: | Islamic Finance, Islamic Financial Services Institutions, Volatility, Risk, Correlation, Diversification, M-GARCH t-DCC and MODWT Wavelet |
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 E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy G - Financial Economics > G2 - Financial Institutions and Services |
Item ID: | 60248 |
Depositing User: | Professor Mansur Masih |
Date Deposited: | 29 Nov 2014 11:29 |
Last Modified: | 26 Sep 2019 18:12 |
References: | Aris, N.A., Tapsir, R., and Abu Talib, M.,K. (2012). Risk and Risk Management of Takaful Industry. Journal of Global Business and Economics.4 (1), Bank Negara Malaysia. (2003). Islamic Banking Related Articles.Available: http://www.bnm.gov.my/index.php?ch=174&pg=469&ac=385. Last accessed 5th April 2014. Beck, T., Demirgüç-Kunt, A. and Merrouche, O. (2013). Islamic vs. conventional banking: Business model, efficiency and stability. Journal of Banking and Finance.37, 433-447. Celik, S. (2012). The more contagion effect on emerging markets: The evidence of DCC-GARCH model. Economic Modelling. 29, 1946 - 1959. Chevallier, J. (2012). Time-varying correlations in oil, gas and CO2 prices: an application using BEKK, CCC and DCC-MGARCH models. Applied Economics.44, 4257–4274. Fama, E.F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance. 25 (2), 383-417. Fama, E.F (1965). The Behaviour of Stock Market Prices. The Journal Of Business. 38 (1), 34-105. Fernandez, V. (2006).The CAPM and value at risk at different time-scales. International Review of Financial Analysis. 15, 203-219. Gencay, R., Selcuk, F., and Whitcher, B. (2005).Multiscale systematic risk. Journal of International Money and Finance.24, 55-70. Gheeraert, L. (2014). Does Islamic finance spur banking sector development?. Journal of Economic Behavior & Organization.Article in Press. Gjika, D. and Horváth, R. (2013). Stock market co-movements in Central Europe: Evidence from the asymmetric DCC model. Economic Modeling. 33, 55-64. Hammami, Y., Jilani, F. and Oueslati, A. (2013). Mutual fund performance in Tunisia: A multivariate GARCH approach. Research in International Business and Finance. 29, 35-51. In, F. and Kim, S (2013,a). An Introduction to Wavelet Theory in Finance: A Wavelet Multiscale Approach. Chapter 1: Methodology: Introduction Into Wavelet Analysis. Singapore: World Scientific. 1-38. In, F. and Kim, S (2013,b). An Introduction to Wavelet Theory in Finance: A Wavelet Multiscale Approach. Chapter 9: Mutual Fund Performance and Investment Horizon. Singapore: World Scientific. 161-175. In, F. and Kim, S (2013,c). An Introduction to Wavelet Theory in Finance: A Wavelet Multiscale Approach. Chapter 10: A New Assessment of US Mutual Fund Returns Through a Multiscaling Approach. Singapore: World Scientific. 177-190. Islamic Financial Services Board. (2013). Islamic Financial Services Industry: stability Report, 1-171. Malaysia. Islamic Financial Services Board. (2010). Islamic Financial Services Industry: stability Report, 1-77. Malaysia. Iqbal, Z. and Mirakhor, A. (2007) An Introduction to Islamic Finance – Theory and Practice. Singapore: Wiley. Kabir, S.H., Bacha, O.I., and Masih, A.M.M. (2013).Are Islamic Equities Immune to Global Financial Turmoil? An Investigation of the Time Varying Correlation and Volatility of Islamic Equity Returns. Australian Journal of Basic and Applied Sciences. 7 (7), 686-701. Kahneman, D. and Tversky,A . (1979). Prospect Theory: An Analysis of Decision Under Risk. Econometrica.47 (2), 263 -291. Khalfaoui, R. and Boutahar, M. (2011). A Time-Scale Analysis of Systematic Risk: Wavelet-Based Approach. Munich Personal RePEc Archive. Paper no. 31938, 1-23. Kamil, N.M.K., Bacha, O.I., Masih, A.M.M. (2012). Do „Sin Stocks‟ Deprive Islamic Stock Portfolios of Diversification? Some Insights from the Use of MGARCH-DCC. Capital Markets Review. 20 (1 & 2), Madaleno, M. and Pinho, C. (2012). International Stock Market Indices Co-movements: A New Look. International Journal of Finance and Economics. 17, 89–102. Masih, M., Alzahrani, M., and Al-Titi, O. (2010). Systematic risk and time scales: New evidence from an application of wavelet approach to the emerging Gulf stock markets. International Review of Financial Analysis. 19,10- Najeeb, S.F and Masih, A.M.M. (2013). International Portfolio Diversification Opportunities for Malaysian Islamic Stock Market Investors: A Comparative Multivariate GARCH-DCC and Wavelet Correlation Analysis . Malaysian Finance Association Annual Conference, Kuala Lumpur, Malaysia. 15th, 1-44. Rosley, S.A (2006). Critical Issues on Islamic Banking and Financial Markets: Islamic Economics, Banking and Finance, Investments, Takaful and Financial Planning. Malaysia: Dinamas. Rosley, S.A and Sanusi, M.M. (1999). The Application of Bay‟ Al-„Inah and Bay‟ Al-Dayn in Malaysian Islamic Bonds: An Islamic Analysis.International Journal of Islamic Financial Services. 1 (2). Saleem, Y.M (2012). An Introduction the Theoretical Foundations of Islamic Transactions. Malaysia: Ilmiah Publishers. Saiti, B., Dewandaru, G. and Masih, M. (2013). A Wavelet-based Approach to Testing Shari‟ah-compliant Stock Market Contagion: Evidence from the ASEAN Countries. Australian Journal of Basic and Applied Sciences. 7 (7), 268-280. Shiller, J. (2000). Irrational Exuberance. Princeton New Jersey: Princeton University Press. 203. Syllignakis, M.N., and Kouretas, G.P. (2011). Dynamic correlation analysis of financial contagion: Evidence from the Central and Eastern European markets. International Review of Economics and Finance. 20 , 717-732. Bacha, Obiyathulla I. (1997): Adapting Mudarabah Financing to Contemporary Realities: A Proposed Financing Structure. Published in: The Journal of Accounting, Commerce & Finance; Islamic Perspective , 1(1), (June 1997), 26-54. Percival, D. B., Walden, A. T., 2000. Wavelet methods for time series analysis.Cambridge University Press. Pesaran, H. and Pesaran, B. (2007).Modeling Volatilities and Conditional Correlations in Funtures Markets Wits a Multivariate t-Distribution. CESIFO WORKING PAPER CATEGORY 10: EMPIRICAL AND THEORETICAL METHODS. NO. 2056 (Category 10). Pesaran, B. and M.H Pesaran. 2009. Time Series Econometrics using Microfit 5.0. Oxford: Oxford University Press. Tamakoshi, A. and Hamori, S . (2014). Co-movements among major European exchange rates: A multivariate time-varying asymmetric approach. International Review of Economics and Finance. 31 , 105-113. You, L. and Diagler, R. T. (2010). Is international diversification really beneficial? Journal of Banking & Finance. 34 , 136-173. Valadkhani, A., Harvie, C., and Karunanayake, I. (2013). Global output growth and volatility spillovers. Applied Economics. 45, 637–649. Whitcher, B., Guttorp, P., Percival, D. B., 2000a. Wavelet analysis of covariance with application to atmospheric time series. Journal of Geophysical Research 105 (11), 941–962. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/60248 |