Araştırma Makalesi
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BİTCOİN İLE TEKNOLOJİ ENDEKSLERİNİN ENTEGRASYONU ARASINDAKİ DİNAMİKLER: DCC-GARCH YAKLAŞIMI

Yıl 2025, Cilt: 13 Sayı: Özel Sayı, 154 - 165, 31.12.2025
https://doi.org/10.52122/nisantasisbd.1808684
https://izlik.org/JA48NF64RA

Öz

Kripto varlıkların finans sistemi içerisindeki yerlerini yıllar itibariyle sağlamlaştırmaları, bu varlıkların geleneksel finansal enstrümanlarla olan etkileşimi konusundaki araştırmaları da oldukça hacimlendirmiştir. Özellikle, teknoloji alanında faaliyet gösteren şirketlerin finansal performansları blockchain teknolojilerinin gelişimi ile de ilişkili bir şekilde ön plana çıkmıştır. Bu çalışma kapsamında kripto varlıklar için bir benchmark konumunda olan Bitcoin’in, küresel piyasalarda öne çıkan teknoloji endekslerinin entegrasyonu üzerindeki etkisi araştırılmıştır. Bu bağlamda sermaye piyasalarının derinliği ve genişliği bakımından önde gelen ülkelerdeki teknoloji sektörlerini kapsayan; Hang Seng Tech, FTSE All Technology ve Dow Jones Technology endeksleri arasındaki entegrasyon DCC-GARCH yöntemi ile modellenmiştir. Bir sonraki aşamada ise Bitcoin’in endekslerin dinamik korelasyonları üzerindeki kısa dönem etkileri Granger Nedensellik testi ile incelenmiştir. Araştırma 2015-2025 yılları arasındaki 10 yıllık bir periyodu kapsamaktadır. Araştırmada haftalık veri setleri kullanılmıştır. Ampirik bulgular Bitcoin fiyat hareketliliklerinin Hang Seng Tech-FTSE All Technology ve Dow Jones Technology-FTSE All Technology arasındaki dinamik korelasyonların Granger nedeni olduğunu göstermektedir. Bu sonuç, Bitcoin’in yalnızca alternatif bir yatırım aracı olarak değil, aynı zamanda teknoloji sektöründeki finansal entegrasyonu etkileyebilecek bir unsur olarak da değerlendirilmesi gerektiğine işaret etmektedir. Bu açıdan, kripto varlıkların küresel teknoloji piyasalarıyla olan etkileşimlerinin hem düzenleyici otoriteler ve politika yapıcılar tarafından hem de portföy ve risk yönetimi bağlamında yatırımcılar tarafından daha yakından izlenmesi önem arz etmektedir.

Kaynakça

  • Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross‐section of stock returns. The Journal of Finance, 61(4), 1645-1680. https://doi.org/10.1111/j.1540-6261.2006.00885.x
  • Barber, B. M., & Odean, T. (2008). All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. The Review of Financial Studies, 21(2), 785-818. https://doi.org/10.1093/rfs/hhm079
  • Ben Rejeb, A. & Boughrara, A. (2015). Financial integration in emerging market economies: Effects on volatility transmission and contagion. Borsa Istanbul Review, 15(3), 161-179. https://doi.org/10.1016/j.bir.2015.04.003
  • Bouri, E., Das, M., Gupta, R., & Roubaud, D. (2018). Spillovers between Bitcoin and other assets during bear and bull markets. Applied Economics, 50(55), 5935-5949. https://doi.org/10.1080/00036846.2018.1488075
  • Caporale, G. M., Pittis, N., & Spagnolo, N. (2006). Volatility transmission and financial crises. Journal of Economics and Finance, 30, 376-390. https://doi.org/10.1007/BF02752742
  • Ceylan, Ö. (2021). Dynamics of global stock market correlations: the VIX and attention allocation. Journal of Applied Economics, 24(1), 392-400. https://doi.org/10.1080/15140326.2021.1949257
  • Chan, W.H., Le, M. & Wu, Y.W. (2019). Holding Bitcoin longer: The dynamic hedging abilities of Bitcoin. The Quarterly Review of Economics and Finance, 71, 107-113. https://doi.org/10.1016/j.qref.2018.07.004
  • Cheung, W., Fung, S., & Tsai, S. C. (2010). Global capital market interdependence and spillover effect of credit risk: evidence from the 2007–2009 global financial crisis. Applied Financial Economics, 20(1-2), 85-103. https://doi.org/10.1080/09603100903262962
  • Dai, Z., Zhu, H., & Zhang, X. (2022). Dynamic spillover effects and portfolio strategies between crude oil, gold and Chinese stock markets related to new energy vehicle. Energy Economics, 109, 105959. https://doi.org/10.1016/j.eneco.2022.105959
  • Dyhrberg, A. H. (2016). Bitcoin, gold and the dollar–A GARCH volatility analysis. Finance Research Letters, 16, 85-92. https://doi.org/10.1016/j.frl.2015.10.008
  • EBC (2025, Mayıs). Hang Seng Tech Index Basics: What Beginners Should Know. https://www.ebc.com/forex/hang-seng-tech-index-basics-what-beginners-should-know
  • Engle, R. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3), 339-350. https://doi.org/10.1198/073500102288618487
  • Erdaş, M. L., & Yağcılar, G. G. (2022). Bitcoin as An Investment Vehicle: The Asymmetric Relationships Between Bitcoin and Global Technology Indexes. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 9(3), 2097-2120. https://doi.org/10.30798/makuiibf.1097491
  • ETF (2025, Aralık). Dow Jones U.S. Technology Index – ETF Tracker. https://etfdb.com/index/dow-jones-us-technology-index/
  • FTSE (2025, Kasım). Factsheet: FTSE All-World Technology Index. https://research.ftserussell.com › Factsheets › Home
  • Ghorbel, A., & Boujelbene, Y. (2013). Contagion effect of the oil shock and US financial crisis on the GCC and BRIC countries. International Journal of Energy Sector Management, 7(4), 430-447. https://doi.org/10.1108/IJESM-04-2012-0002
  • 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. https://doi.org/10.1016/j.ribaf.2019.101063
  • Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424-438. https://doi.org/10.2307/1912791
  • Grobys, K. (2021). When Bitcoin has the flu: On Bitcoin’s performance to hedge equity risk in the early wake of the COVID-19 outbreak. Applied Economics Letters, 28(10), 860-865. https://doi.org/10.1080/13504851.2020.1784380
  • Guesmi, K., Saadi, S., Abid, I. & Ftiti, Z. (2019). Portfolio diversification with virtual currency: Evidence from Bitcoin. International Review of Financial Analysis, 63, 431-437. https://doi.org/10.1016/j.irfa.2018.03.004
  • He, X., Takiguchi, T., Nakajima, T., & Hamori, S. (2020). Spillover effects between energies, gold, and stock: the United States versus China. Energy & Environment, 31(8), 1416-1447. https://doi.org/10.1177/0958305X2090708
  • Hirshleifer, D., Lim, S. S., & Teoh, S. H. (2009). Driven to distraction: Extraneous events and underreaction to earnings news. The Journal of Finance, 64(5), 2289-2325. https://doi.org/10.1111/j.1540-6261.2009.01501.x
  • Hong, H. (2025). Measuring the connectedness of new energy stock markets of China: new evidence and implications. International Journal of Emerging Markets, 1-22. https://doi.org/10.1108/IJOEM-07-2024-1121
  • Jiang, Y., Lie, J., Wang, J., & Mu, J. (2021). Revisiting the roles of cryptocurrencies in stock markets: a quantile coherency perspective. Economic Modelling, 95, 21-34. https://doi.org/10.1016/j.econmod.2020.12.002
  • Khan, S., & Park, K. W. K. (2009). Contagion in the stock markets: The Asian financial crisis revisited. Journal of Asian Economics, 20(5), 561-569. https://doi.org/10.1016/j.asieco.2009.07.001
  • Klein, T., Thu, H. P., & Walther, T. (2018). Bitcoin is not the New Gold–A comparison of volatility, correlation, and portfolio performance. International Review of Financial Analysis, 59, 105-116. https://doi.org/10.1016/j.irfa.2018.07.010
  • Klöckner, M., Schmidt, C. G., & Wagner, S. M. (2022). When blockchain creates shareholder value: empirical evidence from international firm announcements. Production and Operations Management, 31(1), 46-64. https://doi.org/10.1111/poms.1360
  • Kulal, A. (2021). Followness of altcoins in the dominance of Bitcoin: a phase analysis. Macro Management & Public Policies, 3(3), 10-18. https://doi.org/10.30564/mmpp.v3i3.3589
  • Lahiani, A., & Jlassi, N. B. (2021). Nonlinear tail dependence in cryptocurrency-stock market returns: The role of Bitcoin futures. Research in International Business and Finance, 56, 101351. https://doi.org/10.1016/j.ribaf.2020.101351
  • Levine, R. (2001). International financial liberalization and economic growth. Review of international Economics, 9(4), 688-702. https://doi.org/10.1111/1467-9396.00307
  • Litwack, S. (2015). Bitcoin: Currency or Fool's Gold: A Comparative Analysis of the Legal Classification of Bitcoin. Temp. Int'l & Comp. LJ, 29, 309.
  • Liu, W., Wang, J., Jia, F., & Choi, T. M. (2022). Blockchain announcements and stock value: a technology management perspective. International Journal of Operations & Production Management, 42(5), 713-742. https://doi.org/10.1108/IJOPM-08-2021-0534
  • Marfatia, H. A. (2020). Investors’ risk perceptions in the US and global stock market integration. Research in International Business and Finance, 52, 101169. https://doi.org/10.1016/j.ribaf.2019.101169
  • Mariana, C. D., Ekaputra, I. A., & Husodo, Z. A. (2021). Are Bitcoin and Ethereum safe-havens for stocks during the COVID-19 pandemic?. Finance Research Letters, 38, 101798. https://doi.org/10.1016/j.frl.2020.101798
  • Mensi, W., Ziadat, S. A., Al Rababa'a, A. R., Vo, X. V., & Kang, S. H. (2024). Oil, gold and international stock markets: Extreme spillovers, connectedness and its determinants. The Quarterly Review of Economics and Finance, 95, 1-17. https://doi.org/10.1016/j.qref.2024.03.002
  • Nguyen, K. Q. (2022). The correlation between the stock market and Bitcoin during COVID-19 and other uncertainty periods. Finance Research Letters, 46, 102284. https://doi.org/10.1016/j.frl.2021.102284
  • Ozdurak, C., Umut, A., & Ozay, T. (2022). The interaction of major crypto-assets, clean energy, and technology indices in diversified portfolios. International Journal of Energy Economics and Policy, 12(2), 480-490. https://doi.org/10.32479/ijeep.12888.
  • Patel, R., Goodell, J. W., Oriani, M. E., Paltrinieri, A., & Yarovaya, L. (2022). A bibliometric review of financial market integration literature. International Review of Financial Analysis, 80, 102035. https://doi.org/10.1016/j.irfa.2022.102035
  • Ranciere, R., Tornell, A., & Westermann, F. (2006). Decomposing the effects of financial liberalization: Crises vs. growth. Journal of Banking & Finance, 30(12), 3331-3348. https://doi.org/10.1016/j.jbankfin.2006.05.019
  • Raymaekers, W. (2015). Cryptocurrency Bitcoin: Disruption, challenges and opportunities. Journal of Payments Strategy & Systems, 9(1), 30-46.
  • 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. https://doi.org/10.3390/economies11090232
  • Rogalski, T., & Schiereck, D. (2025). Is blockchain worth it? Value drivers of stock market returns to corporate blockchain announcements. International Journal of Management Practice, 18(2), 157-191. https://doi.org/10.1504/IJMP.2025.144800
  • 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. https://doi.org/10.1007/s43546-022-00219-0
  • Salisu, A. A., Isah, K., & Akanni, L. O. (2019). Improving the predictability of stock returns with Bitcoin prices. The North American Journal of Economics and Finance, 48, 857-867. https://doi.org/10.1016/j.najef.2018.08.010
  • Shen, Y. (2018). International risk transmission of stock market movements. Economic Modelling, 69, 220-236. https://doi.org/10.1016/j.econmod.2017.09.022
  • Stensås, A., Nygaard, M.F., Kyaw, K. & Treepongkaruna, S. (2019). Can Bitcoin be a diversifier, hedge or safe haven tool?. Cogent Economics & Finance, 7(1), 1593072. https://doi.org/10.1080/23322039.2019.1593072
  • 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), 66. https://doi.org/10.3390/jrfm11040066
  • Tsai, I. C. (2014). Spillover of fear: Evidence from the stock markets of five developed countries. International Review of Financial Analysis, 33, 281-288. https://doi.org/10.1016/j.irfa.2014.03.007
  • Umar, Z., Trabelsi, N., & Alqahtani, F. (2021). Connectedness between cryptocurrency and technology sectors: international evidence. International Review of Economics & Finance, 71, 910-922. https://doi.org/10.1016/j.iref.2020.10.021
  • Veldkamp, L. L. (2006). Information markets and the comovement of asset prices. The Review of Economic Studies, 73(3), 823-845. https://doi.org/10.1111/j.1467-937X.2006.00397.x
  • Wang, J., & Ngene, G. M. (2020). Does Bitcoin still own the dominant power? An intraday analysis. International Review of Financial Analysis, 71, 101551. https://doi.org/10.1016/j.irfa.2020.101551

Yıl 2025, Cilt: 13 Sayı: Özel Sayı, 154 - 165, 31.12.2025
https://doi.org/10.52122/nisantasisbd.1808684
https://izlik.org/JA48NF64RA

Öz

Kaynakça

  • Baker, M., & Wurgler, J. (2006). Investor sentiment and the cross‐section of stock returns. The Journal of Finance, 61(4), 1645-1680. https://doi.org/10.1111/j.1540-6261.2006.00885.x
  • Barber, B. M., & Odean, T. (2008). All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors. The Review of Financial Studies, 21(2), 785-818. https://doi.org/10.1093/rfs/hhm079
  • Ben Rejeb, A. & Boughrara, A. (2015). Financial integration in emerging market economies: Effects on volatility transmission and contagion. Borsa Istanbul Review, 15(3), 161-179. https://doi.org/10.1016/j.bir.2015.04.003
  • Bouri, E., Das, M., Gupta, R., & Roubaud, D. (2018). Spillovers between Bitcoin and other assets during bear and bull markets. Applied Economics, 50(55), 5935-5949. https://doi.org/10.1080/00036846.2018.1488075
  • Caporale, G. M., Pittis, N., & Spagnolo, N. (2006). Volatility transmission and financial crises. Journal of Economics and Finance, 30, 376-390. https://doi.org/10.1007/BF02752742
  • Ceylan, Ö. (2021). Dynamics of global stock market correlations: the VIX and attention allocation. Journal of Applied Economics, 24(1), 392-400. https://doi.org/10.1080/15140326.2021.1949257
  • Chan, W.H., Le, M. & Wu, Y.W. (2019). Holding Bitcoin longer: The dynamic hedging abilities of Bitcoin. The Quarterly Review of Economics and Finance, 71, 107-113. https://doi.org/10.1016/j.qref.2018.07.004
  • Cheung, W., Fung, S., & Tsai, S. C. (2010). Global capital market interdependence and spillover effect of credit risk: evidence from the 2007–2009 global financial crisis. Applied Financial Economics, 20(1-2), 85-103. https://doi.org/10.1080/09603100903262962
  • Dai, Z., Zhu, H., & Zhang, X. (2022). Dynamic spillover effects and portfolio strategies between crude oil, gold and Chinese stock markets related to new energy vehicle. Energy Economics, 109, 105959. https://doi.org/10.1016/j.eneco.2022.105959
  • Dyhrberg, A. H. (2016). Bitcoin, gold and the dollar–A GARCH volatility analysis. Finance Research Letters, 16, 85-92. https://doi.org/10.1016/j.frl.2015.10.008
  • EBC (2025, Mayıs). Hang Seng Tech Index Basics: What Beginners Should Know. https://www.ebc.com/forex/hang-seng-tech-index-basics-what-beginners-should-know
  • Engle, R. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3), 339-350. https://doi.org/10.1198/073500102288618487
  • Erdaş, M. L., & Yağcılar, G. G. (2022). Bitcoin as An Investment Vehicle: The Asymmetric Relationships Between Bitcoin and Global Technology Indexes. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 9(3), 2097-2120. https://doi.org/10.30798/makuiibf.1097491
  • ETF (2025, Aralık). Dow Jones U.S. Technology Index – ETF Tracker. https://etfdb.com/index/dow-jones-us-technology-index/
  • FTSE (2025, Kasım). Factsheet: FTSE All-World Technology Index. https://research.ftserussell.com › Factsheets › Home
  • Ghorbel, A., & Boujelbene, Y. (2013). Contagion effect of the oil shock and US financial crisis on the GCC and BRIC countries. International Journal of Energy Sector Management, 7(4), 430-447. https://doi.org/10.1108/IJESM-04-2012-0002
  • 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. https://doi.org/10.1016/j.ribaf.2019.101063
  • Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424-438. https://doi.org/10.2307/1912791
  • Grobys, K. (2021). When Bitcoin has the flu: On Bitcoin’s performance to hedge equity risk in the early wake of the COVID-19 outbreak. Applied Economics Letters, 28(10), 860-865. https://doi.org/10.1080/13504851.2020.1784380
  • Guesmi, K., Saadi, S., Abid, I. & Ftiti, Z. (2019). Portfolio diversification with virtual currency: Evidence from Bitcoin. International Review of Financial Analysis, 63, 431-437. https://doi.org/10.1016/j.irfa.2018.03.004
  • He, X., Takiguchi, T., Nakajima, T., & Hamori, S. (2020). Spillover effects between energies, gold, and stock: the United States versus China. Energy & Environment, 31(8), 1416-1447. https://doi.org/10.1177/0958305X2090708
  • Hirshleifer, D., Lim, S. S., & Teoh, S. H. (2009). Driven to distraction: Extraneous events and underreaction to earnings news. The Journal of Finance, 64(5), 2289-2325. https://doi.org/10.1111/j.1540-6261.2009.01501.x
  • Hong, H. (2025). Measuring the connectedness of new energy stock markets of China: new evidence and implications. International Journal of Emerging Markets, 1-22. https://doi.org/10.1108/IJOEM-07-2024-1121
  • Jiang, Y., Lie, J., Wang, J., & Mu, J. (2021). Revisiting the roles of cryptocurrencies in stock markets: a quantile coherency perspective. Economic Modelling, 95, 21-34. https://doi.org/10.1016/j.econmod.2020.12.002
  • Khan, S., & Park, K. W. K. (2009). Contagion in the stock markets: The Asian financial crisis revisited. Journal of Asian Economics, 20(5), 561-569. https://doi.org/10.1016/j.asieco.2009.07.001
  • Klein, T., Thu, H. P., & Walther, T. (2018). Bitcoin is not the New Gold–A comparison of volatility, correlation, and portfolio performance. International Review of Financial Analysis, 59, 105-116. https://doi.org/10.1016/j.irfa.2018.07.010
  • Klöckner, M., Schmidt, C. G., & Wagner, S. M. (2022). When blockchain creates shareholder value: empirical evidence from international firm announcements. Production and Operations Management, 31(1), 46-64. https://doi.org/10.1111/poms.1360
  • Kulal, A. (2021). Followness of altcoins in the dominance of Bitcoin: a phase analysis. Macro Management & Public Policies, 3(3), 10-18. https://doi.org/10.30564/mmpp.v3i3.3589
  • Lahiani, A., & Jlassi, N. B. (2021). Nonlinear tail dependence in cryptocurrency-stock market returns: The role of Bitcoin futures. Research in International Business and Finance, 56, 101351. https://doi.org/10.1016/j.ribaf.2020.101351
  • Levine, R. (2001). International financial liberalization and economic growth. Review of international Economics, 9(4), 688-702. https://doi.org/10.1111/1467-9396.00307
  • Litwack, S. (2015). Bitcoin: Currency or Fool's Gold: A Comparative Analysis of the Legal Classification of Bitcoin. Temp. Int'l & Comp. LJ, 29, 309.
  • Liu, W., Wang, J., Jia, F., & Choi, T. M. (2022). Blockchain announcements and stock value: a technology management perspective. International Journal of Operations & Production Management, 42(5), 713-742. https://doi.org/10.1108/IJOPM-08-2021-0534
  • Marfatia, H. A. (2020). Investors’ risk perceptions in the US and global stock market integration. Research in International Business and Finance, 52, 101169. https://doi.org/10.1016/j.ribaf.2019.101169
  • Mariana, C. D., Ekaputra, I. A., & Husodo, Z. A. (2021). Are Bitcoin and Ethereum safe-havens for stocks during the COVID-19 pandemic?. Finance Research Letters, 38, 101798. https://doi.org/10.1016/j.frl.2020.101798
  • Mensi, W., Ziadat, S. A., Al Rababa'a, A. R., Vo, X. V., & Kang, S. H. (2024). Oil, gold and international stock markets: Extreme spillovers, connectedness and its determinants. The Quarterly Review of Economics and Finance, 95, 1-17. https://doi.org/10.1016/j.qref.2024.03.002
  • Nguyen, K. Q. (2022). The correlation between the stock market and Bitcoin during COVID-19 and other uncertainty periods. Finance Research Letters, 46, 102284. https://doi.org/10.1016/j.frl.2021.102284
  • Ozdurak, C., Umut, A., & Ozay, T. (2022). The interaction of major crypto-assets, clean energy, and technology indices in diversified portfolios. International Journal of Energy Economics and Policy, 12(2), 480-490. https://doi.org/10.32479/ijeep.12888.
  • Patel, R., Goodell, J. W., Oriani, M. E., Paltrinieri, A., & Yarovaya, L. (2022). A bibliometric review of financial market integration literature. International Review of Financial Analysis, 80, 102035. https://doi.org/10.1016/j.irfa.2022.102035
  • Ranciere, R., Tornell, A., & Westermann, F. (2006). Decomposing the effects of financial liberalization: Crises vs. growth. Journal of Banking & Finance, 30(12), 3331-3348. https://doi.org/10.1016/j.jbankfin.2006.05.019
  • Raymaekers, W. (2015). Cryptocurrency Bitcoin: Disruption, challenges and opportunities. Journal of Payments Strategy & Systems, 9(1), 30-46.
  • 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. https://doi.org/10.3390/economies11090232
  • Rogalski, T., & Schiereck, D. (2025). Is blockchain worth it? Value drivers of stock market returns to corporate blockchain announcements. International Journal of Management Practice, 18(2), 157-191. https://doi.org/10.1504/IJMP.2025.144800
  • 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. https://doi.org/10.1007/s43546-022-00219-0
  • Salisu, A. A., Isah, K., & Akanni, L. O. (2019). Improving the predictability of stock returns with Bitcoin prices. The North American Journal of Economics and Finance, 48, 857-867. https://doi.org/10.1016/j.najef.2018.08.010
  • Shen, Y. (2018). International risk transmission of stock market movements. Economic Modelling, 69, 220-236. https://doi.org/10.1016/j.econmod.2017.09.022
  • Stensås, A., Nygaard, M.F., Kyaw, K. & Treepongkaruna, S. (2019). Can Bitcoin be a diversifier, hedge or safe haven tool?. Cogent Economics & Finance, 7(1), 1593072. https://doi.org/10.1080/23322039.2019.1593072
  • 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), 66. https://doi.org/10.3390/jrfm11040066
  • Tsai, I. C. (2014). Spillover of fear: Evidence from the stock markets of five developed countries. International Review of Financial Analysis, 33, 281-288. https://doi.org/10.1016/j.irfa.2014.03.007
  • Umar, Z., Trabelsi, N., & Alqahtani, F. (2021). Connectedness between cryptocurrency and technology sectors: international evidence. International Review of Economics & Finance, 71, 910-922. https://doi.org/10.1016/j.iref.2020.10.021
  • Veldkamp, L. L. (2006). Information markets and the comovement of asset prices. The Review of Economic Studies, 73(3), 823-845. https://doi.org/10.1111/j.1467-937X.2006.00397.x
  • Wang, J., & Ngene, G. M. (2020). Does Bitcoin still own the dominant power? An intraday analysis. International Review of Financial Analysis, 71, 101551. https://doi.org/10.1016/j.irfa.2020.101551

DYNAMICS BETWEEN BITCOIN AND TECHNOLOGY INDICES INTEGRATION: A DCC-GARCH APPROACH

Yıl 2025, Cilt: 13 Sayı: Özel Sayı, 154 - 165, 31.12.2025
https://doi.org/10.52122/nisantasisbd.1808684
https://izlik.org/JA48NF64RA

Öz

The solidification of crypto assets' positions within the finance system over the years has significantly expanded research on the interaction of these assets with traditional financial instruments. In particular, the financial performance of companies operating in the technology sector has come to the forefront in relation to the development of blockchain technologies. Within the scope of this study, the effect of Bitcoin, which is a benchmark for crypto assets, on the integration of prominent technology indices in global markets has been investigated. In this context, the integration among the Hang Seng Tech, FTSE All Technology and Dow Jones Technology indices, which cover the technology sectors in leading countries in terms of capital market depth and breadth, has been modeled using the DCC-GARCH method. In the next stage, Bitcoin's short-term effects on the dynamic correlations of the indices were examined with the Granger Causality test. The research covers a 10-year period between 2015-2025. Weekly datasets were used in the research. Empirical findings show that Bitcoin price movements are the Granger cause of dynamic correlations between Hang Seng Tech-FTSE All Technology and Dow Jones Technology-FTSE All Technology. This result indicates that Bitcoin should be evaluated not only as an alternative investment instrument but also as an element that can affect financial integration in the technology sector. In this respect, it is important that the interactions of crypto assets with global technology markets be monitored more closely both by regulatory authorities and policymakers, as well as by investors in the context of portfolio and risk management.

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Toplam 51 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Uluslararası Finans
Bölüm Araştırma Makalesi
Yazarlar

Gökhan Berk Özbek 0000-0003-0288-069X

Gönderilme Tarihi 22 Ekim 2025
Kabul Tarihi 29 Aralık 2025
Yayımlanma Tarihi 31 Aralık 2025
DOI https://doi.org/10.52122/nisantasisbd.1808684
IZ https://izlik.org/JA48NF64RA
Yayımlandığı Sayı Yıl 2025 Cilt: 13 Sayı: Özel Sayı

Kaynak Göster

APA Özbek, G. B. (2025). BİTCOİN İLE TEKNOLOJİ ENDEKSLERİNİN ENTEGRASYONU ARASINDAKİ DİNAMİKLER: DCC-GARCH YAKLAŞIMI. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 13(Özel Sayı), 154-165. https://doi.org/10.52122/nisantasisbd.1808684

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