IDEAS home Printed from https://ideas.repec.org/a/bis/bisqtr/1809e.html
   My bibliography  Save this article

Fintech credit markets around the world: size, drivers and policy issues

Author

Listed:
  • Stijn Claessens
  • Jon Frost
  • Grant Turner
  • Feng Zhu

Abstract

Fintech credit has grown rapidly around the world in recent years, but its size still varies greatly across economies. Differences reflect economic development and financial market structure: the higher a country's income and the less competitive its banking system, the larger is fintech credit activity. Fintech credit volumes are also greater in countries with less stringent banking regulation. Fintech credit offers an alternative funding source for businesses and consumers, and may improve access to credit for underserved segments. It may enhance the efficiency of financial intermediation. However, as shown by some failures and conduct problems, it also gives rise to a number of challenges for regulators. Many of these are centred on ensuring adequate consumer and investor protection. For financial stability, challenges and benefits may arise if the fintech credit sector grows further, or if banks make greater use of similar technological innovations in their credit provision.

Suggested Citation

  • 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.
    • Handle: RePEc:bis:bisqtr:1809e
    as

    Download full text from publisher

    File URL: http://www.bis.org/publ/qtrpdf/r_qt1809e.pdf
    Download Restriction: no
    File URL: http://www.bis.org/publ/qtrpdf/r_qt1809e.htm
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Asli Demirgüç-Kunt & Ross Levine (ed.), 2018. "Finance and Growth," Books, Edward Elgar Publishing, number 17120.
    3. Manconi, Alberto & Braggion, Fabio & Zhu, Haikun, 2018. "Can Technology Undermine Macroprudential Regulation? Evidence from Peer-to-Peer Credit in China," CEPR Discussion Papers 12668, C.E.P.R. Discussion Papers.
    4. van Liebergen, Bart, 2017. "Machine learning: A revolution in risk management and compliance?," Journal of Financial Transformation, Capco Institute, vol. 45, pages 60-67.
    5. Julian Franks & Nicolas Serrano-Velarde & Oren Sussman & Itay Goldstein, 0. "Marketplace Lending, Information Aggregation, and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 34(5), pages 2318-2361.
    6. Kevin X. D. Huang & Lei Ning & Guoqiang Tian, 2018. "Conquering China¡¯s Unbalanced and Inadequate Development: Macroeconomic Outlook, Policy Simulations, and Reform Implementation¡ªA Summary of Annual SUFE Macroeconomic Report (2017¨C2018)," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 13(2), pages 147-170, June.
    7. Dermine, J., 2016. "Digital banking and market disruption: a sense of déjà vu?," Financial Stability Review, Banque de France, issue 20, pages 17-24, April.
    8. de Roure, Calebe & Pelizzon, Loriana & Tasca, Paolo, 2016. "How does P2P lending fit into the consumer credit market?," Discussion Papers 30/2016, Deutsche Bundesbank.
    9. Mr. Fabian Valencia & Mr. Luc Laeven, 2012. "Systemic Banking Crises Database: An Update," IMF Working Papers 2012/163, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. 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.
    3. Doerr, Sebastian & Frost, Jon & Gambacorta, Leonardo & Shreeti, Vatsala, 2023. "Big techs in finance," CEPR Discussion Papers 18665, C.E.P.R. Discussion Papers.
    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. Majid Bazarbash, 2019. "FinTech in Financial Inclusion: Machine Learning Applications in Assessing Credit Risk," IMF Working Papers 2019/109, International Monetary Fund.
    6. 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).
    7. Bertsch, Christoph & Hull, Isaiah & Qi, Yingjie & Zhang, Xin, 2020. "Bank misconduct and online lending," Journal of Banking & Finance, Elsevier, vol. 116(C).
    8. Bollaert, Helen & Lopez-de-Silanes, Florencio & Schwienbacher, Armin, 2021. "Fintech and access to finance," Journal of Corporate Finance, Elsevier, vol. 68(C).
    9. 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.
    10. 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.
    11. Hwang, Sunjoo, 2020. "Financial Development and Economic Growth in Korea," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 42(1), pages 31-56.
    12. Cornelli, Giulio & Frost, Jon & Gambacorta, Leonardo & Rau, P. Raghavendra & Wardrop, Robert & Ziegler, Tania, 2023. "Fintech and big tech credit: Drivers of the growth of digital lending," Journal of Banking & Finance, Elsevier, vol. 148(C).
    13. Iacovone, Leonardo & Ferro, Esteban & Pereira-López, Mariana & Zavacka, Veronika, 2019. "Banking crises and exports: Lessons from the past," Journal of Development Economics, Elsevier, vol. 138(C), pages 192-204.
    14. Tölö, Eero, 2019. "Predicting systemic financial crises with recurrent neural networks," Bank of Finland Research Discussion Papers 14/2019, Bank of Finland.
    15. Lo Turco, Alessia & Maggioni, Daniela & Zazzaro, Alberto, 2019. "Financial dependence and growth: The role of input-output linkages," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 308-328.
    16. Mikel Bedayo & Gabriel Jiménez & José-Luis Peydró & Raquel Vegas, 2020. "Screening and Loan Origination Time: Lending Standards, Loan Defaults and Bank Failures," Working Papers 1215, Barcelona School of Economics.
    17. Guarin, Alexander & Lozano, Ignacio, 2017. "Credit funding and banking fragility: A forecasting model for emerging economies," Emerging Markets Review, Elsevier, vol. 32(C), pages 168-189.
    18. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    19. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    20. Kleimeier - Ros, Stefanie & Qi, Shusen & Sander, H., 2016. "Deposit Insurance in Times of Crises: Safe Haven or Regulatory Arbitrage? (RM/15/026-revised-)," Research Memorandum 026, Maastricht University, Graduate School of Business and Economics (GSBE).

    More about this item

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bis:bisqtr:1809e. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Martin Fessler (email available below). General contact details of provider: https://edirc.repec.org/data/bisssch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.