IDEAS home Printed from https://ideas.repec.org/a/onb/oenbfi/y2017iq3-17b3.html
   My bibliography  Save this article

Fintechs and their emergence in banking services in CESEE

Author

Listed:
  • Caroline Stern

    (Oesterreichische Nationalbank (OeNB), Foreign Research Division)

Abstract

Over the last years, the development of financial technology in the banking sector got a new twist with the emergence of numerous small start-ups called fintechs. Some of the new technologies will probably make specific areas of the banking business more efficient, while others may have the potential to disrupt the traditional banking sector. This paper presents the outcome of a stocktaking exercise and shows that most of the new financial technologies are still being used on a small scale. Given that the CESEE region is usually omitted in discussions of fintechs, this paper aims at closing this gap by giving an idea of which activities exist in this region with regard to financial technology. Focusing on three business areas – (1) financial services, (2) payments and (3) financing – this study finds that the level of adoption of new technologies varies across the CESEE countries. Also, a handful of countries seem to have a more active fintech scene in some areas (e.g. peer-to-peer lending) than many of their Western neighbors.

Suggested Citation

  • Caroline Stern, 2017. "Fintechs and their emergence in banking services in CESEE," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3/17, pages 42-58.
    • Handle: RePEc:onb:oenbfi:y:2017:i:q3/17:b:3
    as

    Download full text from publisher

    File URL: https://www.oenb.at/dam/jcr:4604e995-f2ef-43f5-ae2a-268153d12fd3/05_Stern_feei_3_17.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Philippon, Thomas, 2016. "The FinTech Opportunity," CEPR Discussion Papers 11409, C.E.P.R. Discussion Papers.
    2. Riza Emekter & Yanbin Tu & Benjamas Jirasakuldech & Min Lu, 2015. "Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 54-70, January.
    3. de Roure, Calebe & Pelizzon, Loriana & Tasca, Paolo, 2016. "How does P2P lending fit into the consumer credit market?," Discussion Papers 30/2016, Deutsche Bundesbank.
    4. Demirguc-Kunt,Asli & Klapper,Leora & Singer,Dorothe & Van Oudheusden,Peter, 2015. "The Global Findex Database 2014 : measuring financial inclusion around the world," Policy Research Working Paper Series 7255, The World Bank.
    5. Rajeev K. Goel & Aaron N. Mehrotra, 2012. "Financial payment instruments and corruption," Applied Financial Economics, Taylor & Francis Journals, vol. 22(11), pages 877-886, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Caroline Stern & Mikko Makinen & Zongxin Qian, 2017. "FinTechs in China – with a special focus on peer to peer lending," Journal of Chinese Economic and Foreign Trade Studies, Emerald Group Publishing Limited, vol. 10(3), pages 215-228, October.
    2. Katharina Allinger, 2018. "European retail payments market integration and fintech: a case study approach," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 36, pages 25-39.
    3. Elisabeth Beckmann & Sarah Reiter & Helmut Stix, 2018. "A geographic perspective on banking in Central, Eastern and Southeastern Europe," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1-18, pages 26-47.

    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. Wolfgang Pointner & Burkhard Raunig, 2018. "A primer on peer-to-peer lending: immediate financial intermediation in practice," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3/18, pages 36-51.
    2. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
    3. Olena Havrylchyk, 2018. "Regulatory framework for the loan-based crowdfunding platforms," OECD Economics Department Working Papers 1513, OECD Publishing.
    4. Xueru Chen & Xiaoji Hu & Shenglin Ben, 2021. "How do reputation, structure design and FinTech ecosystem affect the net cash inflow of P2P lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 21(4), pages 1055-1082, December.
    5. Lu, Haitian & Wang, Bo & Wang, Haizhi & Zhao, Tianyu, 2020. "Does social capital matter for peer-to-peer-lending? Empirical evidence," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    6. Fu, Jonathan & Mishra, Mrinal, 2022. "Fintech in the time of COVID−19: Technological adoption during crises," Journal of Financial Intermediation, Elsevier, vol. 50(C).
    7. Lucas A. Mariani & Jose Renato Haas Ornelas & Bernardo Ricca, 2023. "Banks’ Physical Footprint and Financial Technology Adoption," Working Papers Series 576, Central Bank of Brazil, Research Department.
    8. Wang, Bo & Yu, Yunjun & Yang, Ziying & Zhang, Xiaomei, 2021. "Microfinance institutions and Peer-to-Peer lending: What does microfinance competition bring?," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    9. Golnoosh Babaei & Shahrooz Bamdad, 2021. "A New Hybrid Instance-Based Learning Model for Decision-Making in the P2P Lending Market," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 419-432, January.
    10. Hamidou Jawara, 2020. "Access to savings and household welfare evidence from a household survey in The Gambia," African Development Review, African Development Bank, vol. 32(2), pages 138-149, June.
    11. Mingfeng Tang & Mei Mei & Cuiwen Li & Xingyang Lv & Xushuang Li & Lihao Wang, 2020. "How does an individual’s default behavior on an online peer-to-peer lending platform influence an observer’s default intention?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-20, December.
    12. Geng, Xin & Janssens, Wendy & Kramer, Berber, 2018. "Liquid milk: Cash Constraints and Recurring Savings among Dairy Farmers in Kenya," 2018 Annual Meeting, August 5-7, Washington, D.C. 273823, Agricultural and Applied Economics Association.
    13. Francis Annan, 2017. "Fraud on Mobile Financial Markets: Evidence from A Pilot Audit Study," Working Papers 17-16, NET Institute.
    14. DeFusco, Anthony A. & Tang, Huan & Yannelis, Constantine, 2022. "Measuring the welfare cost of asymmetric information in consumer credit markets," Journal of Financial Economics, Elsevier, vol. 146(3), pages 821-840.
    15. Leonardo Gambacorta & Yiping Huang & Zhenhua Li & Han Qiu & Shu Chen, 2020. "Data vs collateral," BIS Working Papers 881, Bank for International Settlements.
    16. Ongo Nkoa, Bruno Emmanuel & Song, Jacques Simon, 2020. "Does institutional quality affect financial inclusion in Africa? A panel data analysis," Economic Systems, Elsevier, vol. 44(4).
    17. Davide Furceri & Mr. Prakash Loungani, 2015. "Capital Account Liberalization and Inequality," IMF Working Papers 2015/243, International Monetary Fund.
    18. Grohmann, Antonia & Klühs, Theres & Menkhoff, Lukas, 2018. "Does financial literacy improve financial inclusion? Cross country evidence," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 111, pages 84-96.
    19. Megha Gupta & Suhasini Verma & Smita Pachare, 2023. "An analysis of Conventional and Alternative financing—Customers' perspective," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2404-2414, July.
    20. Zhang, Zan & Hu, Wenjun & Chang, Tsangyao, 2019. "Nonlinear effects of P2P lending on bank loans in a Panel Smooth Transition Regression model," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 468-473.

    More about this item

    Keywords

    fintech; nonbank financial institutions; banks;
    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

    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:onb:oenbfi:y:2017:i:q3/17:b:3. 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: Elisabeth Beckmann (email available below). General contact details of provider: https://edirc.repec.org/data/oenbbat.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.