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Tail risk and systemic risk of finance and technology (FinTech) firms

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  • Chaudhry, Sajid M.
  • Ahmed, Rizwan
  • Huynh, Toan Luu Duc
  • Benjasak, Chonlakan

Abstract

Technology firms are increasingly moving to finance. They are able to make use of a large stock of user data and offer a range of services that otherwise were not possible. This move may pose fresh challenges to financial stability. This paper empirically evaluates the tail risk and systemic risk of technology firms. Our data sample consists of technology firms, and for comparison we also evaluate the tail risk and systemic risk of finance firms. We use daily equity returns data from 2 April 1992 to 31 December 2019 and we adopt the univariate extreme value theory (EVT) to determine equity tail risk. Our selection criteria is the market capitalisation and we choose the top twenty technology and the top twenty finance firms to evaluate tail risk and systemic risk. We found that the tail risk of technology firms is higher than the financial firms, whereas they are less likely to be in distress conditional upon a shock from the system. However, this finding for technology firms reverses when we use recent data via our six-year rolling estimates. We conclude that, similar to finance firms, there should be tighter regulations for technology firms since technology firms are riskier than the finance firms. Our paper has significant implications for both national and global financial regulators.

Suggested Citation

  • Chaudhry, Sajid M. & Ahmed, Rizwan & Huynh, Toan Luu Duc & Benjasak, Chonlakan, 2022. "Tail risk and systemic risk of finance and technology (FinTech) firms," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:tefoso:v:174:y:2022:i:c:s0040162521006247
    DOI: 10.1016/j.techfore.2021.121191
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    Cited by:

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    2. Saklain, Md Sohel, 2024. "FinTech, systemic risk and bank market power – Australian perspective," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    3. Vuković, Darko B. & Hassan, M. Kabir & Kwakye, Bernard & Febtinugraini, Armike & Shakib, Mohammed, 2024. "Does fintech matter for financial inclusion and financial stability in BRICS markets?," Emerging Markets Review, Elsevier, vol. 61(C).
    4. Li, Guoxiang & Wu, Haoyue & Jiang, Jieshu & Zong, Qingqing, 2023. "Digital finance and the low-carbon energy transition (LCET) from the perspective of capital-biased technical progress," Energy Economics, Elsevier, vol. 120(C).
    5. Tan, Changchun & Mo, Lingyu & Wu, Xiaomeng & Zhou, Peng, 2024. "Fintech development and corporate credit risk: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 92(C).
    6. Yousaf, Imran & Youssef, Manel & Goodell, John W., 2024. "Tail connectedness between artificial intelligence tokens, artificial intelligence ETFs, and traditional asset classes," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    7. Afshan, Sahar & Leong, Ken Yien & Najmi, Arsalan & Razi, Ummara & Lelchumanan, Bawani & Cheong, Calvin Wing Hoh, 2024. "Fintech advancements for financial resilience: Analysing exchange rates and digital currencies during oil and financial risk," Resources Policy, Elsevier, vol. 88(C).
    8. Qilong Wan & Xiaodong Miao & Chenguang Wang & Hasan Dinçer & Serhat Yüksel, 2023. "A hybrid decision support system with golden cut and bipolar q-ROFSs for evaluating the risk-based strategic priorities of fintech lending for clean energy projects," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    9. Chen, Ning & Li, Shaofang & Lu, Shuai, 2023. "The extreme risk connectedness of the global financial system: G7 and BRICS evidence," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    10. Ding, Shusheng & Cui, Tianxiang & Wu, Xiangling & Du, Min, 2022. "Supply chain management based on volatility clustering: The effect of CBDC volatility," Research in International Business and Finance, Elsevier, vol. 62(C).
    11. Du, Longzheng & Lin, Weifen, 2022. "Does the application of industrial robots overcome the Solow paradox? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    12. Massimo Preziuso & Franziska Koefer & Michel Ehrenhard, 2023. "Open banking and inclusive finance in the European Union: perspectives from the Dutch stakeholder ecosystem," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    13. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    14. Nasim, Asma & Ullah, Subhan & Kim, Ja Ryong & Hameed, Affan, 2023. "Energy shocks and bank efficiency in emerging economies," Energy Economics, Elsevier, vol. 126(C).

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    More about this item

    Keywords

    Banking; Systemic risk; Technology; Technological change; Asymptotic dependence; Multivariate extreme value theory;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • N7 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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