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Kripto Para Birimleri ve İslami Hisse Senedi Endeksleri Arasındaki Zamanla Değişen Korelasyonlar ve Volatilite Yayılımları: Endonezya, Pakistan ve Hindistan

Yıl 2026, Sayı: 88, 218 - 237, 29.01.2026

Öz

Bu çalışma, Endonezya, Pakistan ve Hindistan’daki hisse senedi endeksleri ile kripto para birimleri arasındaki eş hareketler ve oynaklık yayılma dinamiklerini araştırılmaktadır. Çalışmada, 4 Ocak 2017 ile 4 Ocak 2025 arasındaki getiri serilerine BEKK-GARCH ve DCC-GARCH modelleri uygulanarak piyasalar arası oynaklık yayılmaları ve dinamik korelasyonlar incelenmektedir. Ampirik bulgular, Ethereum ve Pakistan hariç, kripto para birimlerinden geleneksel İslami finans piyasalarına tek yönlü bir volatilite aktarımı olduğunu göstermektedir. Ethereum ve Pakistan borsası arasında zayıf bir çift yönlü taşma etkisi gözlemlenmektedir. DCC-GARCH sonuçları, kripto para varlıklarından İslami borsalara olan volatilite yayılımlarının kısa vadede minimum düzeyde olduğunu, ancak uzun vadede önemli ölçüde arttığını ortaya koymaktadır. Bu durum, kripto para varlıklarının İslami finans piyasalarıyla entegrasyonunun güçlendiğini ve bu korelasyonun uzun vadede devam etmesinin muhtemel olduğunu göstermektedir. Kripto para varlıkları ile İslami borsalar arasındaki güçlü entegrasyon, kripto para varlıklarının bu piyasaların finansal sistemi içinde oluşturduğu riskleri artırmaktadır. Bu entegrasyon, finansal sistemin genel istikrarı üzerinde de etkilere sahip olabilir. İslami finans piyasalarının istikrarını korumak için, politika yapıcılar ve piyasa düzenleyicileri, oynaklık iletim mekanizmaları hakkında kapsamlı bir anlayış geliştirmeli ve kripto varlık oynaklığından kaynaklanan olası aksaklıkları önlemek için bunları aktif olarak izlemelidir.

Kaynakça

  • Adelopo, I., & Luo, X. (2025). Interconnectedness among cryptocurrencies and financial markets: A systematic literature review. Digital Finance, 7(4), 1119–1171. doi: 10.1007/s42521-025-00155-2
  • Al-Yahyaee, K. H., Mensi, W., Ko, H.-U., Yoon, S.-M., & Kang, S. H. (2020). Why cryptocurrency markets are inefficient: The impact of liquidity and volatility. The North American Journal of Economics and Finance, 52, 101168. doi: 10.1016/j.najef.2020.101168
  • Anas, M., Bouri, E., & Shahzad, S. J. H. (2025). A Bibliometric analysis of literature on hedge and safe haven assets. Journal of Economic Surveys, 39(5), 1852–1882. doi: 10.1111/joes.12677
  • Apostolakis, G. N. (2024). Bitcoin price volatility transmission between spot and futures markets. International Review of Financial Analysis, 94, 103251. https://doi.org/10.1016/j.irfa.2024.103251
  • Aydoğan, B., Vardar, G., & Taçoğlu, C. (2022). Volatility spillovers among G7, E7 stock markets and cryptocurrencies. Journal of Economic and Administrative Sciences, 40(2), 364–387. doi: 10.1108/JEAS-09-2021-0190
  • Bahloul, S., Mroua, M., & Naifar, N. (2021). Are Islamic indexes, Bitcoin and gold, still “safe-haven” assets during the COVID-19 pandemic crisis? International Journal of Islamic and Middle Eastern Finance and Management, 15(2), 372–385. doi: 10.1108/IMEFM-06-2020-0295
  • Bakar, N. A., & Foziah, N. H. M. (2024). The Impact of Cryptocurrency Volatility Dynamics on the Islamic Equity Market: The Case of Emerging Asia. Asian Economics Letters, 5(2). doi: 10.46557/001c.70285
  • Balcı, N. (2025). Dynamic linkages between turkish islamic stock market and global macroeconomic risk factors: evidence from dcc-garch model. Akademik Hassasiyetler, 12(27), Article 27. doi: 10.58884/akademik-hassasiyetler.1590078
  • Baloch, A., Abro, I. A., & Ghouri, Z. (2023). The Rise of cryptocurrency adoption in Pakistan: The legal landscape. Pakistan Journal of International Affairs, 6(3). doi: 10.52337/pjia.v6i3.885
  • Bandhu Majumder, S. (2022). Searching for hedging and safe haven assets for Indian equity market – a comparison between gold, cryptocurrency and commodities. Indian Growth and Development Review, 15(1), 60–84. doi: 10.1108/IGDR-10-2021-0131
  • Bouri, E., Lucey, B., & Roubaud, D. (2020). Cryptocurrencies and the downside risk in equity investments. Finance Research Letters, 33, 101211. doi: 10.1016/j.frl.2019.06.009
  • Chkili, W., Ben Rejeb, A., & Arfaoui, M. (2021). Does bitcoin provide hedge to Islamic stock markets for pre- and during COVID-19 outbreak? A comparative analysis with gold. Resources Policy, 74, 102407. doi: 10.1016/j.resourpol.2021.102407
  • Corbet, S., Goodell, J. W., & Günay, S. (2020). Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19. Energy Economics, 92, 104978. doi: 10.1016/j.eneco.2020.104978
  • Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34. doi: 10.1016/j.econlet.2018.01.004
  • Danila, N., Azizan, N. A., Suprihadi, E., & Bunyamin, B. (2024). Dynamic Co-movement and Volatility Spillover Effect Between Sukuk and Conventional Bonds: A Comparison Study Between ASEAN and GCC. Global Business Review, 25(6), 1655–1673. doi: 10.1177/09721509211026203
  • Dung, P. T. N., Long, L. K., Ngoc, T. T. L., & Nhan, D. T. T. (2023). Safe haven for asian equity markets during financial distress: Bitcoin versus gold. Acta Informatica Pragensia, 2023(2), 400–418.
  • El Mehdi, I. K., & Mghaieth, A. (2017). Volatility spillover and hedging strategies between Islamic and conventional stocks in the presence of asymmetry and long memory. Research in International Business and Finance, 39, 595–611. doi: 10.1016/j.ribaf.2016.04.006
  • Engle, R. F. (2002). Dynamic conditional correlation: A Simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3), 339–350. doi: 10.1198/073500102288618487
  • Engle, R. F., & Kroner, K. F. (1995). Multivariate simultaneous generalized ARCH. Econometric Theory, 11(1), 122–150. doi: 10.1017/S0266466600009063
  • Engle, R. F., & Sheppard, K. (2001). Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH (Working Paper No. 8554). National Bureau of Economic Research. doi: 10.3386/w8554
  • Erten, I., Tuncel, M. B., & Okay, N. (2012). Volatility spillovers in emerging markets during the global financial crisis: Diagonal BEKK approach. MPRA Paper, Article 56190. https://ideas.repec.org//p/pra/mprapa/56190.html
  • Gherghina, S. C., Armeanu, D. S., Andrei, J. V., & Joldes, C. C. (2024). Spillover connectedness between cryptocurrency and energy sector: An Empirical investigation under asymmetric exogenous shocks of health and geopolitical crisis and uncertainties. Journal of the Knowledge Economy, 15(4), 16454–16510. doi: 10.1007/s13132-024-01773-8
  • Ghorbel, A., & Jeribi, A. (2021). Investigating the relationship between volatilities of cryptocurrencies and other financial assets. Decisions in Economics and Finance, 44(2), 817–843. doi: 10.1007/s10203-020-00312-9
  • Gil-Alana, L. A., Abakah, E. J. A., & Rojo, M. F. R. (2020). Cryptocurrencies and stock market indices. Are they related? Research in International Business and Finance, 51, 101063. doi: 10.1016/j.ribaf.2019.101063
  • Hung, N. T. (2021). Co-movements between Bitcoin and other asset classes in India. Journal of Indian Business Research, 13(2), 270–288. doi: 10.1108/JIBR-03-2020-0071
  • Iglesias, E. M., & Rivera-Alonso, D. (2022). Brent and WTI oil prices volatility during major crises and Covid-19. Journal of Petroleum Science and Engineering, 211, 110182. doi: 10.1016/j.petrol.2022.110182
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Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India

Yıl 2026, Sayı: 88, 218 - 237, 29.01.2026

Öz

This study investigates the co-movements and volatility spillover dynamics between cryptocurrencies and Islamic equity indices in Indonesia, Pakistan and India addresses the scarcity of comparative evidence for these major developing economies. The study examines volatility spillovers and dynamic correlations across markets based on return series from January 4, 2017, to January 4, 2025, employing BEKK-GARCH and DCC-GARCH models. Empirical results reveal a unidirectional transmission of volatility from cryptocurrencies to Islamic equities, except for Ethereum and Pakistan, where a weak bidirectional spillover is observed. The analysis uncovers a time-horizon dichotomy. Short-term spillovers remain limited. Dynamic correlations intensify significantly over the long run. This suggests a growing integration between cryptocurrency assets and Islamic stock markets indices. Cryptocurrencies act as diversifiers in the short run and their role as hedges weakens over the long term. This deeper integration increases the exposure of Islamic financial systems to cryptocurrency-induced risks and may affect overall financial stability. These results highlight the need for regulators and policymakers to closely monitor volatility transmission channels and enhance oversight mechanisms. A clear understanding of these dynamics is essential to mitigate the risk of systemic disruptions and ensure the resilience of Islamic financial markets amid the growing influence of digital assets.

Kaynakça

  • Adelopo, I., & Luo, X. (2025). Interconnectedness among cryptocurrencies and financial markets: A systematic literature review. Digital Finance, 7(4), 1119–1171. doi: 10.1007/s42521-025-00155-2
  • Al-Yahyaee, K. H., Mensi, W., Ko, H.-U., Yoon, S.-M., & Kang, S. H. (2020). Why cryptocurrency markets are inefficient: The impact of liquidity and volatility. The North American Journal of Economics and Finance, 52, 101168. doi: 10.1016/j.najef.2020.101168
  • Anas, M., Bouri, E., & Shahzad, S. J. H. (2025). A Bibliometric analysis of literature on hedge and safe haven assets. Journal of Economic Surveys, 39(5), 1852–1882. doi: 10.1111/joes.12677
  • Apostolakis, G. N. (2024). Bitcoin price volatility transmission between spot and futures markets. International Review of Financial Analysis, 94, 103251. https://doi.org/10.1016/j.irfa.2024.103251
  • Aydoğan, B., Vardar, G., & Taçoğlu, C. (2022). Volatility spillovers among G7, E7 stock markets and cryptocurrencies. Journal of Economic and Administrative Sciences, 40(2), 364–387. doi: 10.1108/JEAS-09-2021-0190
  • Bahloul, S., Mroua, M., & Naifar, N. (2021). Are Islamic indexes, Bitcoin and gold, still “safe-haven” assets during the COVID-19 pandemic crisis? International Journal of Islamic and Middle Eastern Finance and Management, 15(2), 372–385. doi: 10.1108/IMEFM-06-2020-0295
  • Bakar, N. A., & Foziah, N. H. M. (2024). The Impact of Cryptocurrency Volatility Dynamics on the Islamic Equity Market: The Case of Emerging Asia. Asian Economics Letters, 5(2). doi: 10.46557/001c.70285
  • Balcı, N. (2025). Dynamic linkages between turkish islamic stock market and global macroeconomic risk factors: evidence from dcc-garch model. Akademik Hassasiyetler, 12(27), Article 27. doi: 10.58884/akademik-hassasiyetler.1590078
  • Baloch, A., Abro, I. A., & Ghouri, Z. (2023). The Rise of cryptocurrency adoption in Pakistan: The legal landscape. Pakistan Journal of International Affairs, 6(3). doi: 10.52337/pjia.v6i3.885
  • Bandhu Majumder, S. (2022). Searching for hedging and safe haven assets for Indian equity market – a comparison between gold, cryptocurrency and commodities. Indian Growth and Development Review, 15(1), 60–84. doi: 10.1108/IGDR-10-2021-0131
  • Bouri, E., Lucey, B., & Roubaud, D. (2020). Cryptocurrencies and the downside risk in equity investments. Finance Research Letters, 33, 101211. doi: 10.1016/j.frl.2019.06.009
  • Chkili, W., Ben Rejeb, A., & Arfaoui, M. (2021). Does bitcoin provide hedge to Islamic stock markets for pre- and during COVID-19 outbreak? A comparative analysis with gold. Resources Policy, 74, 102407. doi: 10.1016/j.resourpol.2021.102407
  • Corbet, S., Goodell, J. W., & Günay, S. (2020). Co-movements and spillovers of oil and renewable firms under extreme conditions: New evidence from negative WTI prices during COVID-19. Energy Economics, 92, 104978. doi: 10.1016/j.eneco.2020.104978
  • Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34. doi: 10.1016/j.econlet.2018.01.004
  • Danila, N., Azizan, N. A., Suprihadi, E., & Bunyamin, B. (2024). Dynamic Co-movement and Volatility Spillover Effect Between Sukuk and Conventional Bonds: A Comparison Study Between ASEAN and GCC. Global Business Review, 25(6), 1655–1673. doi: 10.1177/09721509211026203
  • Dung, P. T. N., Long, L. K., Ngoc, T. T. L., & Nhan, D. T. T. (2023). Safe haven for asian equity markets during financial distress: Bitcoin versus gold. Acta Informatica Pragensia, 2023(2), 400–418.
  • El Mehdi, I. K., & Mghaieth, A. (2017). Volatility spillover and hedging strategies between Islamic and conventional stocks in the presence of asymmetry and long memory. Research in International Business and Finance, 39, 595–611. doi: 10.1016/j.ribaf.2016.04.006
  • Engle, R. F. (2002). Dynamic conditional correlation: A Simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3), 339–350. doi: 10.1198/073500102288618487
  • Engle, R. F., & Kroner, K. F. (1995). Multivariate simultaneous generalized ARCH. Econometric Theory, 11(1), 122–150. doi: 10.1017/S0266466600009063
  • Engle, R. F., & Sheppard, K. (2001). Theoretical and empirical properties of dynamic conditional correlation multivariate GARCH (Working Paper No. 8554). National Bureau of Economic Research. doi: 10.3386/w8554
  • Erten, I., Tuncel, M. B., & Okay, N. (2012). Volatility spillovers in emerging markets during the global financial crisis: Diagonal BEKK approach. MPRA Paper, Article 56190. https://ideas.repec.org//p/pra/mprapa/56190.html
  • Gherghina, S. C., Armeanu, D. S., Andrei, J. V., & Joldes, C. C. (2024). Spillover connectedness between cryptocurrency and energy sector: An Empirical investigation under asymmetric exogenous shocks of health and geopolitical crisis and uncertainties. Journal of the Knowledge Economy, 15(4), 16454–16510. doi: 10.1007/s13132-024-01773-8
  • Ghorbel, A., & Jeribi, A. (2021). Investigating the relationship between volatilities of cryptocurrencies and other financial assets. Decisions in Economics and Finance, 44(2), 817–843. doi: 10.1007/s10203-020-00312-9
  • Gil-Alana, L. A., Abakah, E. J. A., & Rojo, M. F. R. (2020). Cryptocurrencies and stock market indices. Are they related? Research in International Business and Finance, 51, 101063. doi: 10.1016/j.ribaf.2019.101063
  • Hung, N. T. (2021). Co-movements between Bitcoin and other asset classes in India. Journal of Indian Business Research, 13(2), 270–288. doi: 10.1108/JIBR-03-2020-0071
  • Iglesias, E. M., & Rivera-Alonso, D. (2022). Brent and WTI oil prices volatility during major crises and Covid-19. Journal of Petroleum Science and Engineering, 211, 110182. doi: 10.1016/j.petrol.2022.110182
  • Islamic Financial Services Board. (2024). Islamic financial services industry stability report 2024 (p. 123). Islamic Financial Services Board. https://www.ifsb.org/wp-content/uploads/2024/09/IFSB-Stability-Report-2024-8.pdf
  • Islamic Financial Services Board. (2025). Islamic financial services industry stability report 2025 (p. 69). Islamic Financial Services Board. https://www.ifsb.org/wp-content/uploads/2025/05/IFSI-Stability-Report-2025.pdf
  • Iuga, I. C., Nerișanu, R.-A., & Dragolea, L.-L. (2024). Volatility and spillover analysis between cryptocurrencies and financial indices: A diagonal BEKK and DCC GARCH model approach in support of SDGs. Cogent Economics & Finance, 12(1), 2437002. doi: 10.1080/23322039.2024.2437002
  • Iyer, R., & Popescu, A. (2023). New evidence on spillovers between crypto assets and financial markets. IMF Working Papers, 2023(213). doi: 10.5089/9798400256622.001.A001
  • Iyer, T. (2022). Cryptic Connections: Spillovers between Crypto and Equity Markets. Global Financial Stability Notes, 2022(001). doi: 10.5089/9781616358068.065.A001
  • Jana, S., & Sahu, T. N. (2024). Identifying cryptocurrencies as diversifying assets and safe haven in the Indian stock market. Asia-Pacific Financial Markets, 31(4), 925–944. doi: 10.1007/s10690-023-09436-5
  • Jeribi, A. (2020). Can cryptocurrencies be a safe haven during the novel COVID-19 pandemic? Evidence from the Tunisian stock market. Journal of Research in Emerging Markets, 3. doi: 10.30585/jrems.v3i1.555
  • Joseph, T., Jahanger, A., Onwe, J. C., & Balsalobre-Lorente, D. (2024). The implication of cryptocurrency volatility on five largest African financial system stability. Financial Innovation, 10(1), 1–19.
  • Joseph, T., Nwolisa, C., & Obikaonu, P. (2022). Estimating price and exchange rate hedging elasticity of cryptocurrency demand in Nigeria. African Economic and Management Review, 2(2), Article 2. doi: 10.53790/aemr.v2i2.34
  • Joshi, P., Wang, J., & Busler, M. (2022). A Study of the machine learning approach and the MGARCH-BEKK model in volatility transmission. Journal of Risk and Financial Management, 15(3), 116. doi: 10.3390/jrfm15030116
  • Kyriazis, N. A. (2019). A Survey on empirical findings about spillovers in cryptocurrency markets. Journal of Risk and Financial Management, 12(4), Article 4. doi: 10.3390/jrfm12040170
  • Maitra, D., Ur Rehman, M., Ranjan Dash, S., & Hoon Kang, S. (2022). Do cryptocurrencies provide better hedging? Evidence from major equity markets during COVID-19 pandemic. The North American Journal of Economics and Finance, 62, 101776. doi: 10.1016/j.najef.2022.101776
  • Mansour Nomran, N., Laallam, A., Haron, R., Kashi, A., Hossen Shaikh, Z., & Abey, J. (2024). The Impact of the cryptocurrency market on Islamic vs. conventional stock returns: Evidence from gulf cooperation council countries. Journal of Risk and Financial Management, 17(7), Article 7. doi: 10.3390/jrfm17070305
  • Mensi, W., Gubareva, M., Ko, H.-U., Vo, X. V., & Kang, S. H. (2023). Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets. Financial Innovation, 9(1), 92. doi: 10.1186/s40854-023-00498-y
  • Nagaraj, M., & Chaterji, S. (2019). Panel 3 Position Paper: Blockchain can be the Backbone of India’s Economy. 2019 11th International Conference on Communication Systems & Networks (COMSNETS), 523–526. doi: /10.1109/COMSNETS.2019.8711052
  • Nguyen, B. K. Q., & Pham, D. T. N. (2025). Investing during a Fintech revolution: The hedge and safe haven properties of Bitcoin and Ethereum. Research in International Business and Finance, 73, 102599. doi: 10.1016/j.ribaf.2024.102599
  • Paeng, S., Senteney, D., & Yang, T. (2024). Spillover effects, lead and lag relationships, and stable coins time series. The Quarterly Review of Economics and Finance, 95, 45–60. doi: 10.1016/j.qref.2024.03.003
  • Rastogi, S., Kanoujiya, J., & Doifode, A. (2024). Volatility integration of crude oil, gold, and interest rates on the exchange rate: DCC GARCH and BEKK GARCH applications. Cogent Business & Management, 11(1), 2289700. doi: 10.1080/23311975.2023.2289700
  • 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, 61, 101326. doi: 10.1016/j.pacfin.2020.101326
  • Rijanto, A. (2023). Co-Movements between an Asian Technology Stock Index and Cryptocurrencies during the COVID-19 Pandemic: A Bi-Wavelet Approach. Economies, 11(9), 232. doi: 10.3390/economies11090232
  • Rudolf, K. O., Ajour El Zein, S., & Lansdowne, N. J. (2021). Bitcoin as an investment and hedge alternative. A DCC MGARCH model analysis. Risks, 9(9), Article 9. doi: 10.3390/risks9090154
  • Saeed, M. A., & Sial, M. H. (2023). Issues of legislation of cryptocurrency in Pakistan: An analysis. Annals of Social Sciences And Perspective, 4(2), 429–443. doi: 10.52700/assap.v4i2.292
  • Sajeev, K. C., & Afjal, M. (2022). Contagion effect of cryptocurrency on the securities market: A study of Bitcoin volatility using diagonal BEKK and DCC GARCH models. SN Business & Economics, 2(6), 57. doi: 10.1007/s43546-022-00219-0
  • Sami, M., & Abdallah, W. (2020). How does the cryptocurrency market affect the stock market performance in the MENA region? Journal of Economic and Administrative Sciences, 37(4), 741–753. doi: 10.1108/JEAS-07-2019-0078
  • Şenol, Z., Gülcemal, T., & Çakan, O. (2022). Kripto paralarla borsalar arasındaki volatilite yayılımı. Ekonomi Politika ve Finans Araştırmaları Dergisi, 7(4), 925–943. doi: 10.30784/epfad.1200423
  • Shahrour, M. H., Lemand, R., & Mourey, M. (2024). Cross-market volatility dynamics in crypto and traditional financial instruments: Quantifying the spillover effect. The Journal of Risk Finance, 26(1), 1–21. doi: 10.1108/JRF-07-2024-0185
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  • Shahzad, U., Fareed, Z., Shahzad, F., & Shahzad, K. (2021). Investigating the nexus between economic complexity, energy consumption and ecological footprint for the United States: New insights from quantile methods. Journal of Cleaner Production, 279, 123806. doi: 10.1016/j.jclepro.2020.123806
  • Singh, V. V., Singh, H., & Ansari, A. (2024). Bitcoin as a distinct asset class for hedging and portfolio diversification: A DCC-GARCH model analysis. NMIMS Management Review, 32(1), 7–13. doi: 10.1177/09711023241260967
  • Symitsi, E., & Chalvatzis, K. J. (2018). Return, volatility and shock spillovers of Bitcoin with energy and technology companies. Economics Letters, 170, 127–130. doi: 10.1016/j.econlet.2018.06.012
  • Trabelsi, N. (2018). Are there any volatility spill-over effects among cryptocurrencies and widely traded asset classes? Journal of Risk and Financial Management, 11(4), Article 4. doi: 10.3390/jrfm11040066
  • Velappan, S. (2024). Co-volatility dynamics in global cryptocurrency and conventional asset classes: A multivariate stochastic factor volatility approach. Studies in Economics and Finance, 41(5), 1023–1043. doi: 10.1108/SEF-06-2023-0339
  • Vuković, D. B., Frömmel, M., Vigne, S. A., & Zinovev, V. (2025). Spillovers between cryptocurrencies and financial markets in a global framework. Journal of International Money and Finance, 150, 103235. doi: 10.1016/j.jimonfin.2024.103235
  • Wijaya, C., & Ulpah, M. (2022). The Analysis of the Roles of Bitcoin, Ethereum, and Gold as Hedge and Safe-Haven Assets on the Indonesian Stock Market before and during the COVID-19 Pandemic. Indonesian Capital Market Review, 14(1). doi: 10.21002/icmr.v14i1.1140
  • Wilson, C. (2019). Cryptocurrencies: The Future of finance? In F.-L. T. Yu & D. S. Kwan (Eds.), Contemporary Issues in International Political Economy (pp. 359–394). Springer Nature. doi: 10.1007/978-981-13-6462-4_16
  • Yousaf, I., Ali, S., Marei, M., & Gubareva, M. (2024). Spillovers and hedging effectiveness between islamic cryptocurrency and metal markets: Evidence from the COVID-19 outbreak. International Review of Economics & Finance, 92, 1126–1151. doi: 10.1016/j.iref.2024.02.075
  • Zhang, Y., Lo, S., & Sutthiphisal, D. (2025). Inter-Market mean and volatility spillover dynamics between cryptocurrencies and an emerging stock market: Evidence from Thailand and sectoral analysis. Risks, 13(4), 77. doi: 10.3390/risks13040077
Toplam 63 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Finansal Öngörü ve Modelleme, Finansal Piyasalar ve Kurumlar
Bölüm Araştırma Makalesi
Yazarlar

Nehir Balcı 0000-0002-9317-7491

Beyza Gürel 0000-0003-3563-3994

Gönderilme Tarihi 1 Ağustos 2025
Kabul Tarihi 27 Ocak 2026
Yayımlanma Tarihi 29 Ocak 2026
Yayımlandığı Sayı Yıl 2026 Sayı: 88

Kaynak Göster

APA Balcı, N., & Gürel, B. (2026). Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi(88), 218-237.
AMA Balcı N, Gürel B. Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. Ocak 2026;(88):218-237.
Chicago Balcı, Nehir, ve Beyza Gürel. “Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, sy. 88 (Ocak 2026): 218-37.
EndNote Balcı N, Gürel B (01 Ocak 2026) Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 88 218–237.
IEEE N. Balcı ve B. Gürel, “Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India”, Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, sy. 88, ss. 218–237, Ocak2026.
ISNAD Balcı, Nehir - Gürel, Beyza. “Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi 88 (Ocak2026), 218-237.
JAMA Balcı N, Gürel B. Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. 2026;:218–237.
MLA Balcı, Nehir ve Beyza Gürel. “Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India”. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, sy. 88, 2026, ss. 218-37.
Vancouver Balcı N, Gürel B. Time-Varying Correlations and Volatility Spillovers Between Cryptocurrencies and Islamic Equity Indices: Indonesia, Pakistan and India. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. 2026(88):218-37.

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