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FinTech credit: a critical review of empirical research

Author

Listed:
  • Nicola Branzoli

    (Bank of Italy)

  • Ilaria Supino

    (Bank of Italy)

Abstract

FinTech credit has attracted significant attention from academics and policymakers in recent years. Given its growing importance, in this paper we provide an overview of the empirical research on FinTech credit to households and non-financial corporations (NFCs). We focus on three broad topics: i) the factors supporting the development of innovative business models for credit intermediation, such as marketplace lending; ii) the benefits of new credit risk assessment data and methods; iii) the implications of these innovations for access to credit. Three main messages emerge from the literature. First, the growth of lenders with innovative business models is mainly driven by the degree of local economic development and of competition in the banking sector. Second, new data and methods can improve traditional credit risk models because they are particularly helpful in screening opaque borrowers, such as those with scant credit history. Third, FinTech borrowers generally lack (or have limited) access to finance and tend to be riskier than traditional bank borrowers.

Suggested Citation

  • 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.
  • Handle: RePEc:bdi:opques:qef_549_20
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    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2020-0549/QEF_549_20.pdf
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    References listed on IDEAS

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    Cited by:

    1. Kowalewski, Oskar & Pisany, Paweł & Ślązak, Emil, 2022. "Digitalization and data, institutional quality and culture as drivers of technology-based credit providers," Journal of Economics and Business, Elsevier, vol. 121(C).
    2. 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.
    3. Salvatore Cardillo & Raffaele Gallo & Francesco Guarino, 2021. "Main challenges and prospects for the European banking sector: a critical review of the ongoing debate," Questioni di Economia e Finanza (Occasional Papers) 634, Bank of Italy, Economic Research and International Relations Area.
    4. Wang, Xiaoting & Hou, Siyuan & Kyaw, Khine & Xue, Xupeng & Liu, Xueqin, 2023. "Exploring the determinants of Fintech Credit: A comprehensive analysis," Economic Modelling, Elsevier, vol. 126(C).
    5. 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).
    6. Krzysztof Waliszewski & Ewa Cichowicz & £ukasz Gêbski & Filip Kliber & Jakub Kubiczek & Pawe³ Niedzió³ka & Ma³gorzata Solarz & Anna Warchlewska, 2023. "The role of the Lendtech sector in the consumer credit market in the context of household financial exclusion," Oeconomia Copernicana, Institute of Economic Research, vol. 14(2), pages 609-643, June.

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    More about this item

    Keywords

    artificial intelligence; credit; digital technologies; FinTech; marketplace lending;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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