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What determines cross-country differences in fintech and bigtech credit markets?

Author

Listed:
  • Oskar Kowalewski

    (IESEG School of Management, Paris, France, LEM-CNRS 9221, Lille, France, Institute of Economics, Polish Academy of Sciences, Warsaw, Poland)

  • Pawel Pisany

    (Institute of Economics, Polish Academy of Sciences, Warsaw, Poland)

  • Emil Slazak

    (Warsaw School of Economics, Warsaw, Poland)

Abstract

This study is an investigation of the determinants of the development of technology-driven alternative credit markets, that is, fintech and bigtech credit. Using a data sample from 94 countries from 2013–2019, we confirmed the relevance of the availability of credit data, both the traditional and alternative types, with the latter being known as the so-called “digital footprint.” Furthermore, we have provided evidence to confirm the positive role of strengthening Internet privacy protections in fostering the development of the fintech credit market, which may not necessarily be the case for the bigtech credit market. We have also shown that the growth of the fintech and bigtech credit market is preceded by a rising paytech services market. Furthermore, we have found that the development of fintech credit services is fostered by the strength of both principal institutions, like the rule of law, and credit-specific institutions, especially in terms of insolvency framework effectiveness, while, for the bigtech credit market, only the latter matters. Interestingly, we have also found that various national cultural profiles can boost the development of fintech and bigtech credit services. Lastly, we have shown that the fintech credit market develops faster in countries characterized by high levels of societal distrust toward banks and that the opposite seems to be the case with the bigtech credit market.

Suggested Citation

  • Oskar Kowalewski & Pawel Pisany & Emil Slazak, 2021. "What determines cross-country differences in fintech and bigtech credit markets?," Working Papers 2021-ACF-02, IESEG School of Management.
  • Handle: RePEc:ies:wpaper:f202102
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    References listed on IDEAS

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    1. Kowalewski, Oskar & Pisany, Paweł, 2023. "The rise of fintech: A cross-country perspective," Technovation, Elsevier, vol. 122(C).
    2. Stefania Albanesi & Domonkos F. Vamossy, 2019. "Predicting Consumer Default: A Deep Learning Approach," Papers 1908.11498, arXiv.org, revised Oct 2019.
    3. Calebe de Roure & Loriana Pelizzon & Anjan Thakor, 2022. "P2P Lenders versus Banks: Cream Skimming or Bottom Fishing? [Loan officer incentives, internal rating models and default rates]," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 11(2), pages 213-262.
    4. Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2019. "The Role of Technology in Mortgage Lending," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1854-1899.
    5. Giulio Cornelli & Jon Frost & Leonardo Gambacorta & Raghavendra Rau & Robert Wardrop & Tania Ziegler, 2020. "Fintech and big tech credit: a new database," BIS Working Papers 887, Bank for International Settlements.
    6. Jagtiani, Julapa & Lemieux, Catharine, 2018. "Do fintech lenders penetrate areas that are underserved by traditional banks?," Journal of Economics and Business, Elsevier, vol. 100(C), pages 43-54.
    7. Buchak, Greg & Matvos, Gregor & Piskorski, Tomasz & Seru, Amit, 2018. "Fintech, regulatory arbitrage, and the rise of shadow banks," Journal of Financial Economics, Elsevier, vol. 130(3), pages 453-483.
    8. Gambacorta, Leonardo & Huang, Yiping & Qiu, Han & Wang, Jingyi, 2024. "How do machine learning and non-traditional data affect credit scoring? New evidence from a Chinese fintech firm," Journal of Financial Stability, Elsevier, vol. 73(C).
    9. Bömer, Max & Maxin, Hannes, 2018. "Why Fintechs Cooperate with Banks - Evidence from Germany," Hannover Economic Papers (HEP) dp-637, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    10. Jon Frost & Leonardo Gambacorta & Yi Huang & Hyun Song Shin & Pablo Zbinden, 2019. "BigTech and the changing structure of financial intermediation," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 34(100), pages 761-799.
    11. Tobias Berg & Valentin Burg & Ana Gombović & Manju Puri, 2020. "On the Rise of FinTechs: Credit Scoring Using Digital Footprints," The Review of Financial Studies, Society for Financial Studies, vol. 33(7), pages 2845-2897.
    12. Stijn Claessens & Jon Frost & Grant Turner & Feng Zhu, 2018. "Fintech credit markets around the world: size, drivers and policy issues," BIS Quarterly Review, Bank for International Settlements, September.
    13. Franklin Allen & Xian Gu & Julapa Jagtiani, 2021. "A Survey of Fintech Research and Policy Discussion," Review of Corporate Finance, now publishers, vol. 1(3-4), pages 259-339, July.
    14. Nicola Branzoli & Ilaria Supino, 2020. "FinTech credit: a critical review of empirical research," Questioni di Economia e Finanza (Occasional Papers) 549, Bank of Italy, Economic Research and International Relations Area.
    15. Julapa Jagtiani & Catharine Lemieux, 2019. "The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform," Financial Management, Financial Management Association International, vol. 48(4), pages 1009-1029, December.
    16. Huan Tang, 2019. "Peer-to-Peer Lenders Versus Banks: Substitutes or Complements?," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1900-1938.
    17. Drasch, Benedict J. & Schweizer, André & Urbach, Nils, 2018. "Integrating the ‘Troublemakers’: A taxonomy for cooperation between banks and fintechs," Journal of Economics and Business, Elsevier, vol. 100(C), pages 26-42.
    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.
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    Cited by:

    1. Kowalewski, Oskar & Pisany, Paweł, 2022. "Banks' consumer lending reaction to fintech and bigtech credit emergence in the context of soft versus hard credit information processing," International Review of Financial Analysis, Elsevier, vol. 81(C).
    2. Adugna, Hailu, 2024. "Fintech dividend: How would digital financial services impact income inequality across countries?," Technology in Society, Elsevier, vol. 77(C).
    3. Cuadros-Solas, Pedro J. & Cubillas, Elena & Salvador, Carlos, 2023. "Does alternative digital lending affect bank performance? Cross-country and bank-level evidence," International Review of Financial Analysis, Elsevier, vol. 90(C).
    4. Koranteng, Barbara & You, Kefei, 2024. "Fintech and financial stability: Evidence from spatial analysis for 25 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).

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    More about this item

    Keywords

    alternative credit; fintech; bigtech; innovation; culture; trust; data access;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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