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  1. Do Fintech lenders penetrate areas that are underserved by traditional banks?
    Autor*in: Jagtiani, Julapa; Lemieux, Catharine M.
    Erschienen: March 2018
    Verlag:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    Supersedes Working Paper 17-17 Fintech has been playing an increasing role in shaping financial and banking landscapes. In this paper, we use account-level data from LendingClub and Y-14M data reported by U.S. banks with assets over $50 billion to... mehr

    Zugang:
    Verlag (kostenfrei)

    Standort:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    Fernleihe:
    keine Fernleihe

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    VS 438 (18,13)
    Fernleihe:
    keine Fernleihe

     

    Supersedes Working Paper 17-17 Fintech has been playing an increasing role in shaping financial and banking landscapes. In this paper, we use account-level data from LendingClub and Y-14M data reported by U.S. banks with assets over $50 billion to examine whether the fintech lending platform could expand credit access to consumers. We find that LendingClub’s consumer lending activities have penetrated areas that may be underserved by traditional banks, such as in highly concentrated markets and in areas that have fewer bank branches per capita. We also find that the portion of LendingClub loans increases in areas where the local economy is not performing well

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Volltext (kostenfrei)
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 18, 13 (March 2018)
    FRB of Philadelphia Working Paper ; No. 18-13
    Schlagworte: fintech; LendingClub; marketplace lending; banking competition; shadow banking; peer-to-peer lending
    Umfang: 1 Online-Ressource (circa 25 Seiten), Illustrationen
  2. The roles of alternative data and machine learning in Fintech lending
    evidence from the LendingClub consumer platform
    Autor*in: Jagtiani, Julapa; Lemieux, Catharine M.
    Erschienen: April 2018
    Verlag:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    Supersedes Working Paper 17-17. Fintech has been playing an increasing role in shaping financial and banking landscapes. There have been concerns about the use of alternative data sources by fintech lenders and the impact on financial inclusion. We... mehr

    Zugang:
    Verlag (kostenfrei)

    Standort:
    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
    Fernleihe:
    keine Fernleihe

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    VS 438 (18,15)
    Fernleihe:
    keine Fernleihe

     

    Supersedes Working Paper 17-17. Fintech has been playing an increasing role in shaping financial and banking landscapes. There have been concerns about the use of alternative data sources by fintech lenders and the impact on financial inclusion. We compare loans made by a large fintech lender and similar loans that were originated through traditional banking channels. Specifically, we use account-level data from LendingClub and Y-14M data reported by bank holding companies with total assets of $50 billion or more. We find a high correlation with interest rate spreads, LendingClub rating grades, and loan performance. Interestingly, the correlations between the rating grades and FICO scores have declined from about 80 percent (for loans that were originated in 2007) to only about 35 percent for recent vintages (originated in 2014–2015), indicating that nontraditional alternative data have been increasingly used by fintech lenders. Furthermore, we find that the rating grades (assigned based on alternative data) perform well in predicting loan performance over the two years after origination. The use of alternative data has allowed some borrowers who would have been classified as subprime by traditional criteria to be slotted into “better” loan grades, which allowed them to get lower priced credit. In addition, for the same risk of default, consumers pay smaller spreads on loans from LendingClub than from credit card borrowing

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Volltext (kostenfrei)
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 18, 15 (April 2018)
    FRB of Philadelphia Working Paper ; No. 18-15
    Schlagworte: fintech; LendingClub; marketplace lending; alternative data; shadow banking; P2P lending; peer-to-peer lending
    Umfang: 1 Online-Ressource (circa 32 Seiten), Illustrationen