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Volatility Spillover Dynamics and Determinants between FinTech and Traditional Financial Industry: Evidence from China

Author

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  • Ziyao Wang

    (Jiangsu Normal University Kewen College, Xuzhou 221116, China)

  • Yufei Xia

    (Business School, Jiangsu Normal University, Xuzhou 221116, China)

  • Yating Fu

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Ying Liu

    (Sino-Russian Institute, Jiangsu Normal University, Xuzhou 221116, China)

Abstract

We explore the dynamics and determinants of volatility spillover between financial technology (FinTech) and the traditional financial industry (TFI). The total, directional, and net spillover indices are measured, and we further decompose volatility spillovers in a time–frequency framework. Economic fundamentals, risk contagion, and market attention are examined as potential determinants of volatility spillovers. We reveal that the total spillover index is time-varying and exhibits an inverse U-shape between 2017 and 2021. FinTech is a net volatility receiver in most cases, and exported volatility to the TFI during the COVID-19 pandemic. The long-term components are the main driving force of volatility spillovers based on the frequency domain decomposition. Meanwhile, the economic fundamental determinants are the main contributing factors of volatility spillovers, explaining over 60% of total spillover between FinTech and the TFI. The findings remain robust under different settings of forecasting horizons, lag lengths, and proxy of the risk contagion determinant.

Suggested Citation

  • Ziyao Wang & Yufei Xia & Yating Fu & Ying Liu, 2023. "Volatility Spillover Dynamics and Determinants between FinTech and Traditional Financial Industry: Evidence from China," Mathematics, MDPI, vol. 11(19), pages 1-23, September.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:19:p:4058-:d:1246950
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    References listed on IDEAS

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    1. Chen, Yuxuan & Chiu, Junmao & Chung, Huimin, 2022. "Givers or Receivers? Return and volatility spillovers between Fintech and the Traditional Financial Industry," Finance Research Letters, Elsevier, vol. 46(PB).
    2. Ding, Na & Gu, Leilei & Peng, Yuchao, 2022. "Fintech, financial constraints and innovation: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 73(C).
    3. Karali, Berna & Ramirez, Octavio A., 2014. "Macro determinants of volatility and volatility spillover in energy markets," Energy Economics, Elsevier, vol. 46(C), pages 413-421.
    4. Ian Dew-Becker & Stefano Giglio, 2016. "Asset Pricing in the Frequency Domain: Theory and Empirics," The Review of Financial Studies, Society for Financial Studies, vol. 29(8), pages 2029-2068.
    5. Zhang, Wei & Shen, Dehua & Zhang, Yongjie & Xiong, Xiong, 2013. "Open source information, investor attention, and asset pricing," Economic Modelling, Elsevier, vol. 33(C), pages 613-619.
    6. Cedric Mbanga & Ali F. Darrat & Jung Chul Park, 2019. "Investor sentiment and aggregate stock returns: the role of investor attention," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 397-428, August.
    7. Robert F. Engle & Eric Ghysels & Bumjean Sohn, 2013. "Stock Market Volatility and Macroeconomic Fundamentals," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 776-797, July.
    8. Caporale, Guglielmo Maria & Kang, Woo-Young & Spagnolo, Fabio & Spagnolo, Nicola, 2021. "Cyber-attacks, spillovers and contagion in the cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    9. Yao, Shujie & He, Hongbo & Chen, Shou & Ou, Jinghua, 2018. "Financial liberalization and cross-border market integration: Evidence from China's stock market," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 220-245.
    10. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    11. Apostolou, Apostolos & Beirne, John, 2019. "Volatility spillovers of unconventional monetary policy to emerging market economies," Economic Modelling, Elsevier, vol. 79(C), pages 118-129.
    12. Lee, Wayne Y. & Jiang, Christine X. & Indro, Daniel C., 2002. "Stock market volatility, excess returns, and the role of investor sentiment," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2277-2299.
    13. Zihui Yang & Yinggang Zhou, 2017. "Quantitative Easing and Volatility Spillovers Across Countries and Asset Classes," Management Science, INFORMS, vol. 63(2), pages 333-354, February.
    14. Julia Giese & Andy Haldane, 2020. "COVID-19 and the financial system: a tale of two crises," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 200-214.
    15. Rui Wang & Jiangtao Liu & Hang(Robin) Luo, 2021. "Fintech development and bank risk taking in China," The European Journal of Finance, Taylor & Francis Journals, vol. 27(4-5), pages 397-418, March.
    16. Wang, Xunxiao, 2020. "Frequency dynamics of volatility spillovers among crude oil and international stock markets: The role of the interest rate," Energy Economics, Elsevier, vol. 91(C).
    17. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
    18. Liu, Bin & Xia, XiangYang & Xiao, Wen, 2020. "Public information content and market information efficiency: A comparison between China and the U.S," China Economic Review, Elsevier, vol. 60(C).
    19. William D. Grampp, 1948. "Adam Smith and the Economic Man," Journal of Political Economy, University of Chicago Press, vol. 56(4), pages 315-315.
    20. Nazlioglu, Saban & Erdem, Cumhur & Soytas, Ugur, 2013. "Volatility spillover between oil and agricultural commodity markets," Energy Economics, Elsevier, vol. 36(C), pages 658-665.
    21. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    22. Cheng, Maoyong & Qu, Yang, 2020. "Does bank FinTech reduce credit risk? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    23. Dranev, Yury & Frolova, Ksenia & Ochirova, Elena, 2019. "The impact of fintech M&A on stock returns," Research in International Business and Finance, Elsevier, vol. 48(C), pages 353-364.
    24. Belhassine, Olfa & Karamti, Chiraz, 2021. "Contagion and portfolio management in times of COVID-19," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 73-86.
    25. Zhao, Hua, 2010. "Dynamic relationship between exchange rate and stock price: Evidence from China," Research in International Business and Finance, Elsevier, vol. 24(2), pages 103-112, June.
    26. Chen, Zhenlong & Zheng, Changmei & Hao, Xiaozhen, 2022. "Volatility spillover effect between internet finance and banks," Journal of Business Research, Elsevier, vol. 141(C), pages 512-519.
    27. Vladimir I. Soloviev, 2018. "Fintech Ecosystem and Landscape in Russia," Journal of Reviews on Global Economics, Lifescience Global, vol. 7, pages 377-390.
    28. Senyo, PK & Osabutey, Ellis L.C., 2020. "Unearthing antecedents to financial inclusion through FinTech innovations," Technovation, Elsevier, vol. 98(C).
    29. Al Guindy, Mohamed, 2021. "Cryptocurrency price volatility and investor attention," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 556-570.
    30. Mukul Bhatnagar & Ercan Özen & Sanjay Taneja & Simon Grima & Ramona Rupeika-Apoga, 2022. "The Dynamic Connectedness between Risk and Return in the Fintech Market of India: Evidence Using the GARCH-M Approach," Risks, MDPI, vol. 10(11), pages 1-16, November.
    31. Urom, Christian, 2023. "Time–frequency dependence and connectedness between financial technology and green assets," International Economics, Elsevier, vol. 175(C), pages 139-157.
    32. Abbasi, Kaleemullah & Alam, Ashraful & Du, Min (Anna) & Huynh, Toan Luu Duc, 2021. "FinTech, SME efficiency and national culture: Evidence from OECD countries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    33. Daniela Gabor & Sally Brooks, 2017. "The digital revolution in financial inclusion: international development in the fintech era," New Political Economy, Taylor & Francis Journals, vol. 22(4), pages 423-436, July.
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