Dynamic Interconnectedness Between Islamic and Conventional Stocks in GCC Economies: Application of TVP-VAR Analysis

Abstract

The size of Islamic finance has become one of the most important sources of the global financial system, and its growth potential has necessitated a detailed market analysis. In this study, Islamic markets are analyzed by comparing them with conventional markets to determine whether they act differently from other financial products in times of crisis and protect their investors, that is, whether they act as a haven. The extent to which Islamic and conventional stocks experience connectedness during crisis periods, their aggregate dynamic connectedness structure, and which markets transmit or receive the most shocks have prompted this research. This study examines the dynamic connectedness structure between Islamic and conventional stocks in Gulf Cooperation Council (GCC) economies using daily data from 23.06.2015- 8.08.2024 through the TVP-VAR model. The research also includes additional analyses for investors with a short-term and long-term investment approach. For the markets examined, the degree of short-term and long-term connectedness is analyzed to determine whether the market is a transmitter or a receiver of shocks. For this purpose, forecast horizons are modelled for short-term (frequencies in the 1-5 day period) and long-term (frequencies in the period longer than 5 days). According to the findings on frequency connectedness, short-run rather than long-run transmission is the primary source of connectedness in both markets. The connectedness in Islamic and conventional markets has a similar structure during periods when risk decreases and increases. Total connectedness increased during the 2015-2016 oil crisis, the 2020 COVID-19 period, the February 2022 Russia-Ukraine war, and the October 2023 Israel-Palestine war, and the market's receiver or transmitter positions changed. Conventional markets have a higher level of connectedness than Islamic markets. However, this level is not strong enough to support the view that Islamic markets protect investors and national economies in times of crisis and offer a safe harbour effect.

Keywords

• TVP-VAR
• Islamic stock
• Conventional stock
• GCC

Körfez İş birliği Konseyi Ekonomilerinde İslami ve Geleneksel Hisse Senetleri Arasındaki Dinamik Bağlantı: TVP-VAR Analizi Uygulaması

Öz

Küresel finans sisteminin en önemli kaynaklarından biri haline gelen İslami finansın büyüklüğü ve büyüme potansiyeli detaylı bir piyasa analizini gerekli kılmıştır. Bu çalışmada, İslami piyasaların kriz dönemlerinde diğer finansal ürünlerden farklı davranıp davranmadığı ve yatırımcısını koruyup korumadığı, yani bir sığınak görevi görüp görmediği konvansiyonel piyasalarla karşılaştırılarak analiz edilmektedir.İslami ve konvansiyonel hisse senetlerinin kriz dönemlerinde ne ölçüde bağlantılılık yaşadıkları, toplam dinamik bağlantılılık yapıları ve hangi piyasaların daha fazla şok gönderdiği veya aldığı bu araştırmayı teşvik etmiştir.Bu çalışma, Körfez İşbirliği Konseyi (KİK) ekonomilerinde İslami ve konvansiyonel hisse senetleri arasındaki dinamik bağlantılılık yapısını 23.06.2015 - 8.08.2024 tarihleri arasındaki günlük verileri kullanarak TVP-VAR modeli ile incelemektedir.Araştırma ayrıca kısa ve uzun vadeli yatırım yaklaşımına sahip yatırımcılar için ek analizler içermektedir.İncelenen piyasalar için kısa ve uzun vadeli bağlantılılık derecesi analiz edilerek piyasanın şokların alıcısı mı yoksa vericisi mi olduğu belirlenmektedir.Bu amaçla, tahmin ufukları kısa vadeli (1-5 günlük dönemdeki frekanslar) ve uzun vadeli (5 günden uzun dönemdeki frekanslar) için modellenmiştir.Frekans bağlantılılığına ilişkin bulgulara göre, her iki piyasada da bağlantılılığın birincil kaynağı uzun dönemli aktarımdan ziyade kısa dönemli aktarımdır.Analizi gerçekleştirmek için Karma Veri Örneklemesi (MIDAS) regresyon metodolojisi kullanılmıştır.Bu analiz, altın ve Brent petrol getirilerinin metodolojik olarak İran ekonomisini işsizlik oranı, enflasyon oranı ve GSYİH büyümesi açısından etkilediğini göstermektedir.Bu sonuçlara ulaşmak için, zaman serisi analizinde temel olarak değişkenler arasındaki gecikme ve frekans farklılıklarını ortadan kaldırmaya odaklanan karma veri örnekleme (MIDAS) regresyon metodolojisi kullanılmıştır.Sonuçlar, İran İslam Cumhuriyeti ekonomisinin altın ve petrol fiyatlarına karşı kırılgan olduğu gerçeğine ışık tutmaktadır.

Anahtar Kelimeler

• TVP-VAR
• İslami piyasa
• Konvensiyonel piyasa
• KİK

Kaynakça

1. Abduh, M., & Omar, M. A. (2012). Islamic banking and economic growth: the Indonesian experience. International Journal of Islamic and Middle Eastern Finance and Management, 5(1), 35–47.
2. Abu Bakar, N., & Masih, A. M. M. (2014). The dynamic linkages between Islamic index and the major stock markets: new evidence from wavelet time-scale decomposition analysis. MPRA Paper
3. Abusharbeh, M. T. (2020). Determinants of Islamic bank financing in the Middle East: vector error correction model (VECM). Investment Management and Financial Innovations, 17(4), 285–298. https://doi.org/10.21511/imfi.17(4).2020.25
4. Almaida, A., Abbas, U., Watto, W., Asdullah, M., Fahlevi, M., & Ichdan, D. (2024). The Islamic effect: Exploring the dynamics of Islamic events on the sustainable performance of Islamic and conventional stock markets. Uncertain Supply Chain Management, 12(1), 235-248.
5. Anas, M., Mujtaba, G., Nayyar, S., & Ashfaq, S. (2020). Time-frequency-based dynamics of decoupling or integration between Islamic and conventional equity markets. Journal of Risk and Financial Management, 13(7), 156.
6. Anscombe, F.J., & Glynn, W.J. (1983). Distribution of the kurtosis statistic b2 for normal samples. Biometrika, 70 (1), 227–234.
7. Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13(4), 84.
8. Benlagha, N., Karim, S., Naeem, M. A., Lucey, B. M., & Vigne, S. A. (2022). Risk connectedness between energy and stock markets: Evidence from oil importing and exporting countries. Energy Economics, 115, 106348.

9. Bossman, A., Junior, P. O., & Tiwari, A. K. (2022). Dynamic connectedness and spillovers between Islamic and conventional stock markets: time-and frequency-domain approach in COVID-19 era. Heliyon, 8(4).
10. D’Agostino, R.B. (1970). Transformation to normality of the null distribution of g1. Biometrika 57(3), 679–681.
11. Dammak, W., Gökgöz, H., & Jeribi, A. (2024). Time-frequency connectedness in global banking: volatility and return dynamics of BRICS and G7 banks.
12. Demir, S. (2024). Yatırımcı duyarlılığı ile ABD geleneksel ve yeşil tahvil piyasaları arasındaki bağlantılılık analizi. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 26(2), 264–275. https://doi.org/10.33707/akuiibfd.1451827
13. Diebold, F. X., & Yılmaz, K. (2014). On the Network Topology of Variance Decompositions: Measuring the Connectedness of Financial Firms. Journal of Econometrics, 182(1), 119–134.
14. Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive Directional Measurement of Volatility Spillovers. International Journal of Forecasting, 28(1), 57–66.
15. Domat, C. (2024) “Islamic finance: Just for Muslim-Majority Nations?” Global Finance https://gfmag.com/banking/islamic-finance-just-muslim-majority-nations/ Accessed 1 Aug 2024.
16. Elliott, G., Rothenberg, T.J., & Stock, J.H. (1996). Efficient tests for an autoregressive unit root. Econometrica 64(4), 813–836.
17. Fisher, T.J., & Gallagher, C.M. (2012). New weighted portmanteau statistics for time series goodness of fit testing. J. Am. Stat. Assoc. 107(498), 777–787.
18. Gökgöz, H. (2022). Kripto para getiri oynaklığı üzerinde etkili olan faktörlerin modellenmesi. T.C. Afyon Kocatepe Üniversitesi, Sosyal Bilimler Enstitüsü, İşletme Anabilim Dalı, Doktora Tezi.
19. Güçlü, F., & Kiliç, M. (2020). İslami Finansın Dünyadaki Gelişimi ve İslami Finansa Yön Veren Uluslar arasi Kuruluşlar Üzerine Bir İnceleme. Uluslararası Yönetim Iktisat ve İşletme Dergisi, 16(1), 75–91. Hassan, M. K. (2014). Islamic finance, sustainable development with financial inclusion. University of New Orleans.
20. Huang, J., Chen, B., Xu, Y., & Xia, X. (2023). Time-frequency volatility transmission among energy commodities and financial markets during the COVID-19 pandemic: A Novel TVP-VAR frequency connectedness approach. Finance Research Letters, 53, 103634.
21. Islamic Development Bank Institute & Islamic Financial Services Board, (2014). Islamic Financial Services Industry Development: Ten-Year Framework and Strategies. A Mid-Term Review, Islamic Financial Services Industry Development Report: Other Reports
22. Jarque, C.M., & Bera, A.K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Econ. Lett. 6(3), 255–259.
23. Johnson, K. (2013). The Role of Islamic Banking in Economic Growth. CMC Senior Theses Paper, 642, Claremont McKenna College.
24. Koçak, E. (2018). İslami finans ve ekonomik büyüme: Türkiye üzerine ekonometrik bir uygulama. Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, (51), 67–91.
25. Kontesa, M. (2023). Does Sharia-compliant debt financing reduce stock price crash risk? Managerial Finance, 50(3), 498-513. https://doi.org/10.1108/mf-12-2022-0596
26. Koop, G. (1996). Parameter Uncertainty and Impulse Response Analysis. Journal of Econometrics, 72(1-2), 135–149.
27. Kuşat, N. (2014). Modern İslami Finans Sektörünün İnovatif Gücü: Sukuk. Akademik Bakış Uluslararası Hakemli Sosyal Bilimler Dergisi, (41).
28. Majdoub, J., & Sassi, S. B. (2017). Volatility spillover and hedging effectiveness among China and emerging Asian Islamic equity indexes. Emerging Markets Review, 31, 16–31. Mandaci, P. E., & Cagli, E. C. (2021). Dynamic connectedness between Islamic Mena stock markets and global factors. International Journal of Economics, Management and Accounting, 29(1), 93–127.
29. Mengüç, D. “Hürmüz Boğazı’nda 48 saatte dört petrol gemisi saldırıya uğradı”, 13 May 2019, https://www.indyturk.com/node/30751/d%C3%BCnya/h%C3%BCrm%C3%BCz-bo%C4%9Faz%C4%B1%E2%80%99nda-48-saatte-d%C3%B6rt-petrol-gemisi-sald%C4%B1r%C4%B1ya-u%C4%9Frad%C4%B1. Accessed 3 OCT 2024.
30. Mensi, W., Rehman, M. U., Maitra, D., Al-Yahyaee, K. H., & Vo, X. V. (2023). Frequency spillovers and portfolio risk implications between Sukuk, Islamic stock and emerging stock markets. The Quarterly Review of Economics and Finance, 91, 139–157.
31. Mishra, A. K., & Ghate, K. (2022). Dynamic connectedness in non-ferrous commodity markets: Evidence from India using TVP-VAR and DCC-GARCH approaches. Resources Policy, 76, 102572.
32. Naeem, M. A., Khan, S., & Rehman, M. Z. (2024). Comparing Islamic and conventional stock markets in GCC: a TVP-VAR analysis. International Journal of Emerging Markets.
33. Nahar, S., & Sarker, N. (2016). Are Macroeconomic Factors Substantially Influential for Islamic Bank Financing? Cross-Country Evidence. In IOSR Journal of Business and Management, 18(6), IOSR Journal of Business and Management. https://doi.org/10.9790/487X-1806012027
34. Najeeb, S. F., Bacha, O., & Masih, M. (2017). Does a held-to-maturity strategy impede effective portfolio diversification for Islamic bond (sukuk) portfolios? A multi-scale continuous wavelet correlation analysis. Emerging Markets Finance and Trade, 53(10), 2377–2393.
35. Nawaz, H., Abrar, M., Salman, A., & Bukhari, S. M. H. (2019). Beyond finance: impact of Islamic finance on economic growth in Pakistan. Economic Journal of Emerging Markets, 11(1), 8–18. https://doi.org/10.20885/ejem.vol11.iss1.art2
36. Nursyamsiah, T., (2018). Macroeconomic determinants of Islamic banking financing. Tazkia Islamic Finance and Business Review, 11(2). https://doi.org/10.30993/tifbr.v11i2.136
37. Pesaran, H. H., & Shin, Y. (1998). Generalized Impulse Response Analysis in Linear Multivariate Models. Economics Letters, 58(1), 17–29.
38. Pirgaip, B., Arslan-Ayaydin, Ö., & Karan, M.B. (2021). Does Sukuk provide diversification benefits to conventional bond investors? Evidence from Turkey. Global Finance Journal, 50, 100533.
39. Rifai, S.A., Susanti, H., & Setyaningrum, A. (2017), Analisis pengaruh kurs rupiah, laju inflasi, jumlah uang beredar dan pertumbuhan ekspor terhadap total pembiayaan perbankan syariah dengan dana pihak ketiga sebagai variabel moderating. Muqtasid: Juornal Ekonomi Dan Perbankan Syariah, 8(1), 13–27. S&P Global. www.spglobal.com. Accessed 28 Sept. 2024.
40. Sahabuddin, M., Islam, M. A., Tabash, M. I., Alam, M. K., Daniel, L. N., & Mostafa, I. I. (2023). Dynamic conditional correlation and volatility spillover between conventional and Islamic stock markets: Evidence from developed and emerging countries. Journal of Risk and Financial Management, 16(2), 111.
41. Saiti, B., Bacha, O. I., & Masih, M. (2016). Testing the conventional and Islamic financial market contagion: evidence from wavelet analysis. Emerging Markets Finance and Trade, 52(8), 1832–1849.
42. Shah, N., Qureshi, M. N., & Aslam, Y. (2017). An Empirical Investigation of Islamic Calendar Effect in Global Islamic Equity Indices. International Journal of Economics and Finance, 9(6), 57–68.
43. Shahzad, S. J. H., Ferrer, R., Ballester, L., & Umar, Z. (2017). Risk transmission between Islamic and conventional stock markets: A return and volatility spillover analysis. International Review of Financial Analysis, 52, 9–26.
44. Shanmugam, B., & Zahari, Z. R. (2009). A primer on Islamic finance. Charlottesville: Research Foundation of CFA Institute.
45. Smolo, E., Jahangir, R., Nagayev, R., & Tarazi, C. S. (2022). Performances of Islamic and conventional equities during the global health crisis: Time‐frequency analysis of BRICS+ T markets. Review of Financial Economics, 40(3), 259–280.
46. Şahin, N. (2018). İslami Bankaların Düzenlenmesi ve Denetlenmesi. In 1st International Congress on Islamic Economy and Finance Proceedings Book, 27, 40.
47. Umar, Z., & Suleman, T. (2017). Asymmetric return and volatility transmission in conventional and Islamic equities. Risks, 5(2), 22.
48. Wasiuzzaman, S. (2018). Seasonality in the Saudi stock market: The Hajj effect. The Quarterly Review of Economics and Finance, 67, 273–281.
49. Widarjono, A. (2018). Estimating profitability of Islamic banking in Indonesia. Jurnal Keuangan dan Perbankan, 22(3), 439–454. https://doi.org/ 10.26905/jkdp.v22i3.2197