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Volatility spillovers, structural breaks and uncertainty in technology sector markets

Author

Listed:
  • Linn Arnell

    (Landshypotek Bank)

  • Emma Engström

    (Linköping University)

  • Gazi Salah Uddin

    (Linköping University)

  • Md. Bokhtiar Hasan

    (Islamic University)

  • Sang Hoon Kang

    (Pusan National University)

Abstract

This study uses the dynamic conditional correlation to investigate how technology subsector stocks interact with financial assets in the face of economic and financial uncertainty. Our results suggest that structural breaks have diverse effects on financial asset connectedness and that the level of bond linkage increases when the trend breaks. We see a growing co-movement between the technology sector and major financial assets when uncertainty is considered. Overall, our findings indicate that the connectedness response varies depending on the type of uncertainty shock.

Suggested Citation

  • Linn Arnell & Emma Engström & Gazi Salah Uddin & Md. Bokhtiar Hasan & Sang Hoon Kang, 2023. "Volatility spillovers, structural breaks and uncertainty in technology sector markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-31, December.
    • Handle: RePEc:spr:fininn:v:9:y:2023:i:1:d:10.1186_s40854-023-00502-5
    DOI: 10.1186/s40854-023-00502-5
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    as
    1. N. Bloom, 2016. "Fluctuations in uncertainty," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    2. Berger, Dave & Pukthuanthong, Kuntara & Jimmy Yang, J., 2011. "International diversification with frontier markets," Journal of Financial Economics, Elsevier, vol. 101(1), pages 227-242, July.
    3. Kristjanpoller, Werner & Bouri, Elie & Takaishi, Tetsuya, 2020. "Cryptocurrencies and equity funds: Evidence from an asymmetric multifractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    4. Tareq Saeed & Elie Bouri & Dang Khoa Tran, 2020. "Hedging Strategies of Green Assets against Dirty Energy Assets," Energies, MDPI, vol. 13(12), pages 1-17, June.
    5. Demir, Ender & Gozgor, Giray & Lau, Chi Keung Marco & Vigne, Samuel A., 2018. "Does economic policy uncertainty predict the Bitcoin returns? An empirical investigation," Finance Research Letters, Elsevier, vol. 26(C), pages 145-149.
    6. Lehkonen, Heikki & Heimonen, Kari, 2014. "Timescale-dependent stock market comovement: BRICs vs. developed markets," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 90-103.
    7. Banna, Hasanul & Kabir Hassan, M. & Rashid, Mamunur, 2021. "Fintech-based financial inclusion and bank risk-taking: Evidence from OIC countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    8. Mensi, Walid & Hammoudeh, Shawkat & Yoon, Seong-Min, 2015. "Structural breaks, dynamic correlations, asymmetric volatility transmission, and hedging strategies for petroleum prices and USD exchange rate," Energy Economics, Elsevier, vol. 48(C), pages 46-60.
    9. Xiyong Dong & Seong‐Min Yoon, 2018. "Structural breaks, dynamic correlations, and hedge and safe havens for stock and foreign exchange markets in Greater China," The World Economy, Wiley Blackwell, vol. 41(10), pages 2783-2803, October.
    10. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    11. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    12. Elise Alfieri & Radu Burlacu & Geoffroy Enjolras, 2019. "On the nature and financial performance of bitcoin," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 20(2), pages 114-137, March.
    13. Mr. Dong He & Mr. Ross B Leckow & Mr. V. Haksar & Mr. Tommaso Mancini-Griffoli & Nigel Jenkinson & Ms. Mikari Kashima & Mr. Tanai Khiaonarong & Ms. Celine Rochon & Hervé Tourpe, 2017. "Fintech and Financial Services: Initial Considerations," IMF Staff Discussion Notes 2017/005, International Monetary Fund.
    14. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    15. Bao, Zhengyang & Huang, Difang, 2021. "Shadow Banking in a Crisis: Evidence from Fintech During COVID-19," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(7), pages 2320-2355, November.
    16. Hyun-Sun Ryu & Kwang Sun Ko, 2020. "Sustainable Development of Fintech: Focused on Uncertainty and Perceived Quality Issues," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    17. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    18. Christian Haddad & Lars Hornuf, 2019. "The emergence of the global fintech market: economic and technological determinants," Small Business Economics, Springer, vol. 53(1), pages 81-105, June.
    19. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    20. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    21. Baur, Dirk G. & Dimpfl, Thomas & Kuck, Konstantin, 2018. "Bitcoin, gold and the US dollar – A replication and extension," Finance Research Letters, Elsevier, vol. 25(C), pages 103-110.
    22. Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," The Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-844.
    23. Dyhrberg, Anne Haubo, 2016. "Bitcoin, gold and the dollar – A GARCH volatility analysis," Finance Research Letters, Elsevier, vol. 16(C), pages 85-92.
    24. Lazonick, William & Tulum, Öner, 2011. "US biopharmaceutical finance and the sustainability of the biotech business model," Research Policy, Elsevier, vol. 40(9), pages 1170-1187.
    25. Ur Koumba & Calvin Mudzingiri & Jules Mba, 2020. "Does uncertainty predict cryptocurrency returns? A copula-based approach," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 13(1), pages 67-88, January.
    26. Kurka, Josef, 2019. "Do cryptocurrencies and traditional asset classes influence each other?," Finance Research Letters, Elsevier, vol. 31(C), pages 38-46.
    27. Dong He & Ross B Leckow & Vikram Haksar & Tommaso Mancini Griffoli & Nigel Jenkinson & Mikari Kashima & Tanai Khiaonarong & Celine Rochon & Hervé Tourpe, 2017. "Fintech and Financial Services; Initial Considerations," IMF Staff Discussion Notes 17/05, International Monetary Fund.
    28. Hassan, M. Kabir & Hasan, Md. Bokhtiar & Rashid, Md. Mamunur, 2021. "Using precious metals to hedge cryptocurrency policy and price uncertainty," Economics Letters, Elsevier, vol. 206(C).
    29. Ji, Qiang & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2019. "Information interdependence among energy, cryptocurrency and major commodity markets," Energy Economics, Elsevier, vol. 81(C), pages 1042-1055.
    30. Lee, In & Shin, Yong Jae, 2018. "Fintech: Ecosystem, business models, investment decisions, and challenges," Business Horizons, Elsevier, vol. 61(1), pages 35-46.
    31. Ramana Nanda & Matthew Rhodes-Kropf, 2017. "Financing Risk and Innovation," Management Science, INFORMS, vol. 63(4), pages 901-918, April.
    32. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    33. Al Mamun, Md & Uddin, Gazi Salah & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2020. "Geopolitical risk, uncertainty and Bitcoin investment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
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    3. Umar, Zaghum & Hadhri, Sinda & Abakah, Emmanuel Joel Aikins & Usman, Muhammad & Umar, Muhammad, 2024. "Return and volatility spillovers among oil price shocks and international green bond markets," Research in International Business and Finance, Elsevier, vol. 69(C).

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