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A comparative analysis between FinTech and traditional stock markets: using Russia and Ukraine war data

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Abstract

In this paper, we extend the current literature by seeking answers to two questions: (1) were/are traditional stock markets or FinTech markets more volatile during the Russia–Ukraine War? (2) Which market returns were/are higher during the Russia–Ukraine War—traditional stocks or Fintech stocks. We explored whether cumulative abnormal returns and the stock price of the Fintech market, proxied by Global X Fintech ETF, of firms listed in 28 different countries’ stock markets differ during the Russia–Ukraine War than before the war. Our data set covers the period from June 1, 2021, through November 22, 2022. Our results found that traditional stock markets have been more volatile than Fintech stock markets during the Russia–Ukraine War than before the war. On the other hand, we can see that traditional market returns have been lower than Fintech market returns during the Russia–Ukraine war than before the war.

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Notes

  1. The performance of large and mid-cap stocks in all 23 developed market nations is represented by the MSCI World Index, a comprehensive global equity index. It covers about 85% of each nation's free float-adjusted market capitalization.

References

  1. Abd Rahman, M. S., Al-Okaily, M., Ismail, W. N. S. W., & Ali, A. (2020). Measuring success of accounting information system: Applying the DeLone and McLean model at the organizational level. Journal of Theoretical and Applied Information Technology, 98(14), 2697–2706.

    Google Scholar 

  2. Abu-Salih, B., Wongthongtham, P., Morrison, G., Coutinho, K., Al-Okaily, M., & Huneiti, A. (2022). Short-term renewable energy consumption and generation forecasting: A case study of Western Australia. Heliyon, 8(3), e09152.

    Article  Google Scholar 

  3. Adekoya, I. B., Oliyide, J. A., Saleem, O., & Adeoye, H. A. (2022). Asymmetric connectedness between Google-based investor attention and the fourth industrial revolution assets: The case of FinTech and Robotics & Artificial intelligence stocks. Technology in Society, 68, 101925.

    Article  Google Scholar 

  4. Al-Fraihat, D., Al-Debei, M. M., & Al-Okaily, A. (2022). Factors influencing the decision to utilize eTax systems during the COVID-19 pandemic: The moderating role of anxiety of COVID-19 infection. International Journal of Electronic Government Research (IJEGR), 18(1), 1–24.

    Article  Google Scholar 

  5. Al-Okaily, M., & Al-Okaily, A. (2022). An Empirical Assessment of Enterprise Information Systems Success in a Developing Country: The Jordanian Experience. The TQM Journal, 34(6), 1958–1975. https://doi.org/10.1108/TQM-09-2021-0267

    Article  Google Scholar 

  6. Al-Okaily, M. (2022). Toward an integrated model for the antecedents and consequences of AIS usage at the organizational level. EuroMed Journal of Business. Vol. and No. ahead-of-print. https://doi.org/10.1108/EMJB-05-2022-0100.

  7. Al-Okaily, M. (2023). Does AIS usage matter at SMEs performance: An empirical investigation in the digital transformation revolution. Information Discovery and Delivery. Vol. ahead-of-print No. ahead-of-print. DOI: https://doi.org/10.1108/IDD-08-2022-0072.

  8. Al-Okaily, A., Ai Ping, T., & Al-Okaily, M. (2023). Evaluation of data analytics-oriented business intelligence technology effectiveness: An enterprise-level analysis. Business Process Management Journal. Vol. and No. ahead-of-print. https://doi.org/10.1108/BPMJ-10-2022-0546.

  9. Al-Okaily, M. (2021). Assessing the effectiveness of accounting information systems in the era of COVID-19 pandemic. VINE Journal of Information and Knowledge Management Systems. Vol. and No. ahead-of-print. https://doi.org/10.1108/VJIKMS-08-2021-0148.

  10. Al-Qudah, A. A., Al-Okaily, M., Alqudah, A., & Ghazlat, A. (2022). Mobile payment adoption in the time of the COVID-19 pandemic. Electronic Commerce Research. https://doi.org/10.1007/s10660-022-09577-1

    Article  Google Scholar 

  11. Al Natour, A. R., Al-Qadi, N. S., Meqbel, R., Zaidan, H., Al-Mawali, H., & Al-Okaily, M. (2022). The role of privatisation in sustaining auditor independence: evidence from the developing markets. Sustainability, 15(8), 6350.

    Article  Google Scholar 

  12. Alalwan, A. A., Al-Fraihat, D., Rehman, S. U., Alkhwaldi, A. F. & Al-Okaily, A., (2022). Investigating antecedents of mobile payment systems decision making: A mediated model. Global Knowledge, Memory and Communication. Vol. and No. ahead-of-print. https://doi.org/10.1108/GKMC-10-2021-0171.

  13. Alam, A., Uddin, M., Yazdifar, H. (2019). Institutional determinants of R&D investment: Evidence from emerging markets. Technology Forecasting and Social Changes, 138, 34–44.

  14. Alqudah, H., Al-Qudah, A. A., Al-Qadi, N. S., Elrehail, H., Al-Okaily, A. (2022). Does financial awareness increase the acceptance rate for financial inclusion? An empirical examination in the era of digital transformation, Kybernetes, Vol. and No. ahead-of-print. https://doi.org/10.1108/K-08-2021-0710.

  15. Alqudah, H., Al-Qudah, A. A., & Alkhwaldi, A.F. (2022). Examining the Critical Factors of Computer- Assisted Audit Tools and Techniques Adoption in the Post-COVID-19 Period: Internal Auditors Perspective. VINE Journal of Information and Knowledge Management Systems. Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/VJIKMS-12-2021-0311.

  16. Alsmadi, A. A., Shuhaiber, A., Alhawamdeh, L. N., Alghazzawi, R., & Al-Okaily, M. (2022). Twenty years of mobile banking services development and sustainability: A bibliometric analysis overview (2000–2020). Sustainability, 14(17), 10630.

    Article  Google Scholar 

  17. Alsmadi, A. A., Al-Okaily, M., Alrawashdeh, N., Al-Gasaymeh, A., Moh’d Al-hazimeh, A., & Zakari, A. (2023). A bibliometric analysis of green bonds and sustainable green energy: Evidence from the last fifteen years (2007–2022). Sustainability, 15(7), 5778.

  18. Asongu, S., Akpan, U. S., & Isihak, S. R. (2018). Determinants of foreign direct investment in fast-growing economies: Evidence from the BRICS and MINT countries. Financial Innovation, 4, 2–17.

    Article  Google Scholar 

  19. Aws, A. L., Ping, T. A., & Al-Okaily, M. (2021). Towards business intelligence success measurement in an organization: A conceptual study. Journal of System and Management Sciences, 11(2), 155–170. https://doi.org/10.33168/JSMS.2021.0210

    Article  Google Scholar 

  20. Bany Mohammad, A., Al-Okaily, M., Al-Majali, M., & Masa’deh, R. E. (2022). Business Intelligence and Analytics (BIA) usage in the banking industry sector: An application of the TOE framework. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 189.

  21. Baumöhl, E. (2019). Are cryptocurrencies connected to forex? A quantile cross-spectral approach. Finance Research Letters, 29, 363–372.

    Article  Google Scholar 

  22. Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets, Institutions and Money, 54, 177–189.

    Article  Google Scholar 

  23. Beraich, M., Amzile, K., Laamire, J., Zirari, O., & Fadali, M. A. (2022). Volatility spillover effects of the US, European and Chinese financial markets in the context of the Russia–Ukraine conflict. International Journal of Financial Studies, 10(4), 95.

    Article  Google Scholar 

  24. Berninger, M., Kiesel, F., Kolaric, S. (2022). Should I stay or should I go? Stock market reactions to companies' decisions in the wake of the Russia–Ukraine conflict. In SSRN working paper.

  25. Boot, A. W., Hoffmann, P., Laeven, L., Ratnovski, L. (2020). Financial intermediation and technology: What's Old, What's New?. In IMF working paper. WP/20/161.

  26. Boungou, W., & Yatié, A. (2022). The impact of the Ukraine-Russia war on world stock market returns. Economics Letters, 215, 110516.

    Article  Google Scholar 

  27. Bouri, E., Molnar, P., Azzi, G., Roubaud, D., & Hagfors, L. I. (2017). On the hedge and safe haven properties of bitcoin: Is it really more than a diversifier? Finance Research Letters, 20, 192–198.

    Article  Google Scholar 

  28. Brown, S., & Warner, J. (1980). Measuring security price performance. Journal of Financial Economics, 8, 205–258.

    Article  Google Scholar 

  29. Brown, S., & Warner, J. (1985). Using daily stock returns: The case of event studies. Journal of Financial Economics, 14, 3–31.

    Article  Google Scholar 

  30. Campbell, J. Y., Lo, A. W., & MacKinley, A. C. (1997). The econometrics of financial markets. Princeton University Press.

    Book  Google Scholar 

  31. Cheema, M. A., Faff, R. W., & Szulczuk, K. (2020). The 2008 global financial crisis and COVID-19 pandemic: How safe are the safe haven assets? Covid Economics, Vetted and Real-Time Papers, 34, 88–115.

    Google Scholar 

  32. Chen, M. A., Wu, Q., & Yang, B. (2019). How valuable is FinTech innovation? The Review of Financial Studies, 32, 2062–2106.

    Article  Google Scholar 

  33. Chen, Y., Chiu, J., Chung, H. (2022), “Givers or Receivers? Return and volatility spillovers between Fintech and the traditional financial industry”, Finance Research Letters, 46(B), 102458.

  34. Choudhry, T. (2010). World War II events and the Dow Jones industrial index. Journal of Banking & Finance, 34(5), 1022–1031.

    Article  Google Scholar 

  35. Conlon, T., & McGee, R. (2020). Safe haven or risky hazard? Bitcoin during the Covid-19 bear market. Finance Research Letters, 35, 101607.

    Article  Google Scholar 

  36. Deng, M., Leippold M., Wagner, A. F., Wang, Q. (2022), Stock prices and the Russia–Ukraine war: Sanctions, energy and ESG. In SSRN Working Paper.

  37. Federle, J., Müller, G., Meier, A., and Sehn, V. (2022), Proximity to war: The stock market response to the Russian invasion of Ukraine. In CEPR discussion paper series.

  38. Fernandez, V. (2008). The war on terror and its impact on the long-term volatility of financial markets. International Review of Financial Analysis, 17(1), 1–26.

    Article  Google Scholar 

  39. Frame, W. S., & White, L. J. (2014), Technological change, financial innovation, and diffusion in banking. Atlanta, Georgia & New York, NY: Federal Reserve Bank of Atlanta & Leonard N. Stern School of Business, Department of Economics. In NYU working paper no. 2451/33549.

  40. Frey, B. S., & Waldenström, D. (2004). Markets work in war: World War II reflected in the Zurich and Stockholm bond markets. Financial History Review, 11(1), 51–67.

    Article  Google Scholar 

  41. Frost, J., Gambacorta, L., Huang, Y., Shin, H. S., & Zbinden, P. (2019). BigTech and the changing structure of financial intermediation. Economic Policy, 34(100), 761–799.

    Article  Google Scholar 

  42. Gopalan, S., Jain, G., Kalani, G., & Tan, J. (2012). Breakthrough IT banking. McKinsey Quarterly, 26, 30–35.

    Google Scholar 

  43. Guenette, J. D., Kenworthy, P., & Wheeler, C. (2022). Implications of the war in Ukraine for the global economy. World Bank Group. EFI Policy Note 3

  44. Hasan, F., Shafique, S., Das, B. C., & Shome, R. (2022). R&D intensity and firms dividend policy: Evidence from BRICS countries. Journal of Applied Accounting Research, 23(4), 846–862.

    Article  Google Scholar 

  45. Havlik, P. (2014). Economic Consequences of the Ukraine Conflict. WiiW Policy note 14, The Vienna Institute for International Economic Studies, wiiw

  46. Ibhagui, O. W., & Olokoyo, F. O. (2018). Leverage and firm performance: New evidence on the role of firm size. The North American Journal of Economics and Finance, 45, 57–82.

    Article  Google Scholar 

  47. Kalay, A., & Loewenstein, U. (1985). Predictable events and excess returns: The case of dividend announcements. Journal of Financial Economics, 14(3), 423–449.

    Article  Google Scholar 

  48. Khudaykulova, M., Yuanqiong, H., & Khudaykulov, A. (2022). Economic consequences and implications of the Ukraine-russia war. International Journal of Management Science and Business Administration, 8(4), 44–52.

    Article  Google Scholar 

  49. 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.

    Article  Google Scholar 

  50. Kristoufek, L. (2020). Grandpa, grandpa, tell me the one about bitcoin being a safe haven: Evidence from the COVID-19 pandemics. Cornell University Library.

  51. Kurka, J. (2019). Do cryptocurrencies and traditional asset classes influence each other? Finance Research Letters, 31, 38–46.

    Article  Google Scholar 

  52. Lamberti, H.-J., & Buger, M. (2008). Lessons learnt: 50 Jahre Information-stechnologie im Bankgeschaft am Beispiel der Deutschen Bank AG. Wirtschaftsinformatik, 51, 31–42.

    Article  Google Scholar 

  53. Lazar, S. (2016). Determinants of firm performance: Evidence from Romanian listed companies. Review of Economic and Business Studies, 17, 53–69.

    Article  Google Scholar 

  54. Leigh, A., Wolfers, J., & Zitzewitz, E. (2003). What do financial markets think of war in Iraq? In National Bureau of economic research Cambridge, MA, USA.

  55. Li, J., Li, J., Zhu, X., Yao, Y., & Casu, B. (2020). Risk spillovers between FinTech and traditional financial institutions: Evidence from the US. International Review of Financial Analysis, 71, 101544.

    Article  Google Scholar 

  56. Liadze, I., Macchiarelli, C., Mortimer-Lee, P., & Juanino, P. S. (2022). The economic costs of the Russia–Ukraine conflict. NIESR Policy Paper 32.

  57. Ma, F., Wahab, M., Chevallier, J., & Li, Z. (2023). A tug of war of forecasting the US stock market volatility: Oil futures overnight versus intraday information. Journal of Forecasting, 42(1), 60–75.

    Article  Google Scholar 

  58. MacKinlay, A. C. (1997). Event studies in economics and finance. Journal of Economic Literature, 35(1), 13–39.

    Google Scholar 

  59. Majumdar, S. K. (1997). The impact of size and age on firm-level performance: Some evidence from India. Review of Industrial Organization, 12, 231–241.

    Article  Google Scholar 

  60. Mthanti, T., & Ojah, P. (2017). Entrepreneurial orientation (EO): Measurement and policy implications of entrepreneurship at the macroeconomic level. Research Policy, 46(4), 724–739.

    Article  Google Scholar 

  61. Mumtaz, M. Z., & Smith, Z. A. (2020). Empirical examination of the role of fintech in monetary policy. Pacific Economic Review, 25, 620–640.

    Article  Google Scholar 

  62. Natour, A. R. A., Shishan, F., Al-Dmour, A., Alghazzawi, R., & Alsharairi, M. (2021). Sustainable FinTech innovation orientation: A moderated model. Sustainability, 13(24), 1–12.

    Google Scholar 

  63. Orhan, E. (2022). The effects of the Russia–Ukraine war on global trade. Journal of International Trade, Logistics and Law, 8(1), 141–146.

    Google Scholar 

  64. Penrose, E. (1995). The theory of the growth of the firm. Oxford University Press.

    Book  Google Scholar 

  65. Pereira, P., Bašić, F., Bogunovic, I., & Barcelo, D. (2022). Russian-Ukrainian war impacts the total environment. Science of The Total Environment, 837, 155865.

    Article  Google Scholar 

  66. Philippon, T. (2016). The fintech opportunity (No. w22476). National Bureau of Economic Research.

  67. Puschmann, T. (2017). Fintech. Business & Information Systems Engineering, 59, 69–76.

    Article  Google Scholar 

  68. Rigobon, R., & Sack, B. (2005). The effects of war risk on US financial markets. Journal of Banking & Finance, 29(7), 1769–1789.

    Article  Google Scholar 

  69. Shahzad, S. J. H., Bouri, E., Roubaud, D., Kristoufek, L., & Lucey, B. (2019). Is bitcoin a better safehaven investment than gold and commodities? International Review of Financial Analysis, 63, 322–330.

    Article  Google Scholar 

  70. Sharpe, W. F. (1963). A simplified model for portfolio analysis. Managerial Science, 9(2), 277–293.

    Google Scholar 

  71. Shumilova, O., Tockner, K., Sukhodolov, A., Khilchevskyi, V., De Meester, L., Stepanenko, S., Gleick, P. (2023). Impact of the Russia–Ukraine armed conflict on water resources and water infrastructure. Nature Sustainability, 1–9.

  72. Smales, L. A. (2019). Bitcoin as a safe haven: Is it even worth considering? Finance Research Letters, 30, 385–393.

    Article  Google Scholar 

  73. Stukalo, N., & Simakhova, A. (2018). Social and economic effects of the war conflict in Ukraine for Europe. Geopolitics under Globalization, 2(1), 11.

    Article  Google Scholar 

  74. Symitsi, E., & Chalvatzis, K. J. (2019). The economic value of bitcoin: A portfolio analysis of currencies, gold, oil and stocks. Research in International Business and Finance, 48, 97–110.

    Article  Google Scholar 

  75. Umar, Z., Polat, O., Choi, S.-Y., & Teplova, T. (2022). The impact of the Russia–Ukraine conflict on the connectedness of financial markets. Finance Research Letters, 48, 102976.

    Article  Google Scholar 

  76. Wu, F.-L., Zhan, X.-d., Zhou, J.-Q., Wang, M.-H. (2023). Stock market volatility and Russia–Ukraine conflict. Finance Research Letters, 103919.

  77. Yao, M., Di, H., Zheng, X., & Xu, X. (2018). Impact of payment technology innovations on the traditional financial industry: A focus on China. Technological Forecasting and Social Change, 135, 199–207.

    Article  Google Scholar 

  78. Yermack, D. (2013). Is bitcoin a real currency? An economic appraisal (no. w19747). National Bureau of Economic Research, 36(2), 843–850.

    Google Scholar 

  79. Yousaf, I., Patel, R., & Yarovaya, L. (2022). The reaction of G20+ stock markets to the Russia–Ukraine conflict “black-swan” event: Evidence from event study approach. Journal of Behavioral and Experimental Finance, 35, 100723.

    Article  Google Scholar 

  80. Yousaf, I., Patel, R., Yaroyaya, L. (2022). The reaction of G20+ stock markets to the Russia–Ukraine conflict "black-swan" event: Evidence from event study approach. In SSRN working paper.

  81. Zhang, Z., Hung, K., & Chang, T. (2017). P2P Loans and bank loans, the chicken and the egg, what causes what?: Further evidence from a bootstrap panel granger causality test. Applied Economics Letters, 24(19), 1358–1362.

    Article  Google Scholar 

  82. Zhou, H., & Lu, X. (2023). Investor attention on the Russia–Ukraine conflict and stock market volatility: Evidence from China. Finance Research Letters, 52, 103526.

    Article  Google Scholar 

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Hasan, F., Al-Okaily, M., Choudhury, T. et al. A comparative analysis between FinTech and traditional stock markets: using Russia and Ukraine war data. Electron Commer Res 24, 629–654 (2024). https://doi.org/10.1007/s10660-023-09734-0

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