Modeling the interaction across international conventional and Islamic stock indices

References

• Abbes, M. B., & Trichilli, Y. (2015). Islamic stock markets and potential diversification benefits. Borsa Istanbul Review, 15(2), 93–23. https://doi.org/10.1016/j.bir.2015.03.001
   Web of Science ®Google Scholar
• 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 & Money, 28(1), 213–227. https://doi.org/10.1016/j.intfin.2013.11.004
   Web of Science ®Google Scholar
• Albaity, M., & Ahmad, R. (2011). Return performance, leverage effect, and volatility spillover in Islamic stock indices evidence from DJIMI, FTSEGII and KLSI. Investment Management and Financial Innovations, 8(3), 161–171. https://businessperspectives.org/author/mohamed-albaity
   Google Scholar
• Arabian Business. (2019). ITP Media Group, Dubai, Uni Arab Emirates. https://www.arabianbusiness.com/politics-economics/432979-22trn-the-size-of-the-worlds-islamic-economy
   Google Scholar
• Ben Nasr, A., Ajmi, A. N., & Gupta, R. (2014). Modeling the volatility of the Dow Jones Islamic market world index using a fractionally integrated time varying GARCH (FITVGARCH) model, 24(14), 993–1004. https://doi.org/10.1080/09603107.2014.920476
   Google Scholar
• Djedovic, I., & Ergun, U. (2018). Modeling volatility spillover between conventional and Islamic index in the United Kingdom. Journal of Management, Economics, and Industrial Organization, 2(3), 1–17. https://doi.org/10.31039/jomeino.2018.2.3.1
   Google Scholar
• Engle, R. F., & Kelly, R. (2012). Dynamic equicorrelation. Journal of Business Economics and Statistics, 30(2), 212–228. https://doi.org/10.1080/07350015.2011.652048
   Web of Science ®Google Scholar
• Faal, E. (2007). Growth, investment and productivity in Papua New Guinea. Pacific Economic Bulletin, 22(1), 16–38. http://devpolicy.org/peb/2019/06/29/growth-investment-and-productivity-in-papua-new-guinea/
   Google Scholar
• Habibi, S., & Pakizeh, K. (2017). Risk spillover from U.S. and Japan to Iran’s Stock Market. European Journal of Economics, Finance and Administrative Sciences, 96, 38–48. http://www.europeanjournalofeconomicsfinanceandadministrativesciences.com/issues/PDF/EJEFAS_96_03.pdf
   Google Scholar
• Hashmi, O. (2018). Conventional vs. shariah stock indices: Volatility, financial contagion, interest rate risk and gold as safe haven [Master’s Thesis]. Charles University Faculty of Social Sciences Institute of Economic. https://www.semanticscholar.org/paper/Conventional-vs.-Shariah-stock-indices%3A-Volatility%2C-Hashmi/e2fb5eecf19d92e8e8ae45bff1a95aaa9844070e.
   Google Scholar
• Kareem, U. (2017). Volatility between conventional and Islamic stock market: Evidence from quantile regression analysis [Master’s thesis]. Capital University of Science & Technology. https://vdocuments.mx/volatility-between-conventional-and-islamic-stock-market-kareemmerciful.html
   Google Scholar
• Kim, H. B., & Sohn, T. (2016). Volatility transmission between conventional finance and Islamic finance in stock markets. Macrotheme Review, 5(4), 1–12. http://macrotheme.com/yahoo_site_admin/assets/docs/1MR54Ki.145120148.pdf
   Google Scholar
• Ling, S., & McAleer, M. (2003). Asymptotic theory for a vector ARMA-GARCH model. Econometric Theory, 29(2), 280–310. https://doi.org/10.1017/S0266466603192092
   Google Scholar
• Majdoub, J., & Mansour, W. (2014). Islamic equity market integration and volatility spillover between emerging and US stock markets. The North American Journal of Economics and Finance, 29, 452–470. https://doi.org/10.1016/j.najef.2014.06.011
   Web of Science ®Google Scholar
• Majdoub, J., Mansour, W., & Jouini, J. (2016). Market integration between conventional and Islamic stock prices. The North American Journal of Economics and Finance, 37, 436–457. https://doi.org/10.1016/j.najef.2016.03.004
   Web of Science ®Google Scholar
• Mensi, W., Hammoudeh, S., Al-Jarrah, I. M. W., Sensoy, A., & Kang, S. H. (2017). Dynamic risk spillovers between gold, oil prices and conventional sustainability and islamic equity aggregates and sectors with portfolio implications. Energy Economics, 67, 454–475. https://doi.org/10.1016/j.eneco.2017.08.031
   Web of Science ®Google Scholar
• Muharam, H., Wahyudi, S., Pangeastuti, I. R. D., & Najmudin, N. (2020). Interaction of Islamic and conventional stock markets and the economic connectivity. Journal of Advanced Research in Law and Economics, 9(2), 591–602. https://journals.aserspublishing.eu/jarle/article/view/2486
   Google Scholar
• Nazlioglu, S., Hammoudeh, S., & Gupta, R. (2015). Volatility transmission between Islamic and conventional equity markets: Evidence from causality-in-variance test. Applied Economics, 47(46), 4996–5011. https://doi.org/10.1080/00036846.2015.1039705
   Web of Science ®Google Scholar
• Nurgalieva, G., Kalinin, A., Nureev, B., Imanova, G. and Bapakhova, A.. (2018). The Islamic economy – The fastest growing large economy, Skolkovo Institute for Emerging Market Studies, Moskow. https://islamicbankers.files.wordpress.com/2019/02/ey-the-islamic-economy-in-eurasia-focus-2018.pdf.
   Google Scholar
• 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 Modeling, 54, 425–438. https://doi.org/10.1016/j.econmod.2015.12.033
   Web of Science ®Google Scholar
• Rejeb, A. B. (2017). On the volatility spillover between Islamic and conventional stock markets: A quantile regression analysis. Research in International Business and Finance, 42, 794–815. https://doi.org/10.1016/j.ribaf.2017.07.017
   Web of Science ®Google Scholar
• Rizvi, S. A. R., Arshad, S., & Alam, N. (2015). Crises and contagion in Asia Pacific – Islamic v/s conventional markets. Pacific-Basin Finance Journal, 34, 315–326. https://doi.org/10.1016/j.pacfin.2015.04.002
   Web of Science ®Google Scholar
• 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. https://doi.org/10.1016/j.bir.2014.08.002
   Google Scholar
• Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. https://doi.org/10.2307/1912017
   Web of Science ®Google Scholar
• Sims, C. A. (1989). Models and their uses. American Journal of Agricultural Economics, 71(2), 489–494. https://doi.org/10.2307/1241619
   Web of Science ®Google Scholar
• Thomas, R. L. (1997). Modern econometrics. Addison-Wesley.
   Google Scholar
• Toraman, C., Igde, M., Bugan, M. F., & Kilic, Y. (2016). Volatility spillover effect from conventional stock markets to Islamic stock markets. International Journal of Academic Research in Economics and Management Sciences, 5(4), 264–285. https://doi.org/10.6007/IJAREMS/v5-i4/2521
   Google Scholar
• Umar, Z., & Suleman, T. (2017). Asymmetric return and volatility transmission in conventional and Islamic equities. Risks, 5(2), 1–18. https://doi.org/10.3390/risks5020022
   Web of Science ®Google Scholar
• World Population Review. (2020). GDP ranked by Country, 2020. World Population Review. https://worldpopulationreview.com/countries/countries-by-gdp/.
   Google Scholar