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  1. Does scale matter in community bank performance?
    evidence obtained by applying several new measures of performance
    Author: Hughes, Joseph P.; Jagtiani, Julapa; Mester, Loretta J.; Moon, Choon-geol
    Published: March 2018
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    SUPERSEDES WP16-15 We consider how size matters for banks in three size groups: banks with assets of less than $1 billion (small community banks), banks with assets between $1 billion and $10 billion (large community banks), and banks with assets... more

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    SUPERSEDES WP16-15 We consider how size matters for banks in three size groups: banks with assets of less than $1 billion (small community banks), banks with assets between $1 billion and $10 billion (large community banks), and banks with assets between $10 billion and $50 billion (midsize banks). Community banks have potential advantages in relationship lending compared with large banks. However, increases in regulatory compliance and technological burdens may have disproportionately increased community banks’ costs, raising concerns about small businesses’ access to credit. Our evidence suggests that (1) the average costs related to regulatory compliance and technology decrease with size; (2) while small community banks exhibit relatively more valuable investment opportunities, larger community banks and midsize banks exploit theirs more efficiently and achieve better financial performance; (3) unlike small community banks, large community banks have financial incentives to increase lending to small businesses; and (4) for business lending and commercial real estate lending, large community banks and midsize banks assume higher inherent credit risk and exhibit more efficient lending. Thus, concern that small business lending would be adversely affected if small community banks find it beneficial to increase their scale is not supported by our results

     
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    Series: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 18, 11 (March 2018)
    FRB of Philadelphia Working Paper ; No. 18-11
    Subjects: community banking; scale; financial performance; small business lending
    Scope: 1 Online-Ressource (circa 44 Seiten), Illustrationen
  2. Do Fintech lenders penetrate areas that are underserved by traditional banks?
    Author: Jagtiani, Julapa; Lemieux, Catharine M.
    Published: March 2018
    Publisher:  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... more

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    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

     
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    Series: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 18, 13 (March 2018)
    FRB of Philadelphia Working Paper ; No. 18-13
    Subjects: fintech; LendingClub; marketplace lending; banking competition; shadow banking; peer-to-peer lending
    Scope: 1 Online-Ressource (circa 25 Seiten), Illustrationen
  3. The roles of alternative data and machine learning in Fintech lending
    evidence from the LendingClub consumer platform
    Author: Jagtiani, Julapa; Lemieux, Catharine M.
    Published: April 2018
    Publisher:  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... more

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    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

     
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    Series: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 18, 15 (April 2018)
    FRB of Philadelphia Working Paper ; No. 18-15
    Subjects: fintech; LendingClub; marketplace lending; alternative data; shadow banking; P2P lending; peer-to-peer lending
    Scope: 1 Online-Ressource (circa 32 Seiten), Illustrationen
  4. How important are local community banks to small business lending?
    evidence from mergers and acquisitions
    Author: Jagtiani, Julapa; Maingi, Raman Quinn
    Published: June 2018
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    [REVISED AUG 2019]We investigate the shrinking community banking sector and the impact on local small business lending (SBL) in the context of mergers and acquisitions. From all mergers that involved community banks, we examine the varying impact on... more

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    [REVISED AUG 2019]We investigate the shrinking community banking sector and the impact on local small business lending (SBL) in the context of mergers and acquisitions. From all mergers that involved community banks, we examine the varying impact on SBL depending on the local presence of the acquirers’ and the targets’ operations prior to acquisitions. Our results indicate that, relative to counties where the acquirer had operations before the merger, local SBL declined significantly more in counties where only the target had operations before the merger. This result holds even after controlling for the general local SBL market or local economic trends. These findings are consistent with an argument that SBL funding has been directed (after the mergers) toward the acquirers’ counties. We find even stronger evidence during and after the financial crisis. Overall, we find evidence that local community banks have continued to play an important role in providing funding to local small businesses. The absence of local community banks that became a target of a merger or acquisition by nonlocal acquirers has, on average, led to local SBL credit gaps that were not filled by the rest of the banking sector

     
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    Series: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 18, 18 (June 2018)
    FRB of Philadelphia Working Paper ; No. 18-18
    Subjects: community banks; small business lending; bank mergers
    Scope: 1 Online-Ressource (circa 30 Seiten), Illustrationen
  5. Consumer lending efficiency
    commercial banks versus a fintech lender
    Author: Hughes, Joseph P.; Jagtiani, Julapa; Moon, Choon-geol
    Published: Oktober 2018
    Publisher:  Rutgers University, Department of Economics, New Brunswick, NJ

    Using 2013 and 2016 data, we compare the performance of unsecured consumer loans made by U.S. bank holding companies to that of the fintech lender, LendingClub. We focus on the volume of nonperforming unsecured consumer loans and apply a novel... more

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    Using 2013 and 2016 data, we compare the performance of unsecured consumer loans made by U.S. bank holding companies to that of the fintech lender, LendingClub. We focus on the volume of nonperforming unsecured consumer loans and apply a novel technique developed by Hughes and Moon (2017) that decomposes the observed rate of nonperforming loans into three components: a best-practice minimum ratio, a ratio that gauges nonperformance in excess of the best-practice (reflecting the relative proficiency of credit analysis and loan monitoring), and the statistical noise. Stochastic frontier techniques are used to estimate a minimum rate of nonperforming consumer loans conditioned on the volume of consumer loans and total loans, the average contractual lending rate on consumer loans, and market conditions (GDP growth rate and market concentration). This minimum gauges best-observed practice and answers the question, what ratio of nonperforming consumer loans to total consumer lending could a lender achieve if it were fully efficient at credit-risk evaluation and loan management? The frontier estimation eliminates the influence of luck (statistical noise) and gauges the systematic failure to obtain the minimum ratio. The conditional minimum ratio can be interpreted as a measure of inherent credit risk. The difference between the observed ratio, adjusted for statistical noise, and the minimum ratio gauges lending inefficiency. In 2013 and 2016, the largest bank holding companies with consolidated assets exceeding $250 billion experience the highest ratio of nonperforming consumer loans among the five size groups constituting the sample. Moreover, the inherent credit risk of their consumer lending is the highest among the five groups, but their lending efficiency is also the highest. Thus, the high ratio of consumer nonperformance of the largest financial institutions appears to result from assuming more inherent credit risk, not from inefficiency at lending. In 2016, LendingClub's scale of unsecured consumer lending is slightly smaller than the scale of the largest banks. And like these large lenders, its relatively high nonperforming loan ratio is the result of a higher best-practice ratio of nonperforming consumer loans - i.e., higher inherent credit risk. As of 2016, LendingClub's lending efficiency is similar to the high average efficiency of the largest bank lenders - a conclusion that may not be applicable to other fintech lenders. While the efficiency metric is well-accepted, widely used, and conceptually sound, it may be subject to some data limitations. For example, our data do not include lending performance during an economic downturn when delinquency rates would be higher and when lenders more experienced with downturns might achieve higher efficiency.

     
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    Other identifier:
    hdl: 10419/200276
    Series: [Departmental working papers / Rutgers University, Department of Economics ; 201806]
    Scope: 1 Online-Ressource (circa 33 Seiten), Illustrationen
  6. Redefault risk in the aftermath of the mortgage cisis
    why did modifications improve more than self-cures?
    Author: Calem, Paul Seth; Jagtiani, Julapa; Maingi, Raman Quinn
    Published: November 2018
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    This paper examines changes in the redefault rate of mortgages that were selected for modification during 2008-2011, compared with that of similarly situated self-cured mortgages. We find a large decline in the redefault rate of both modified and... more

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    This paper examines changes in the redefault rate of mortgages that were selected for modification during 2008-2011, compared with that of similarly situated self-cured mortgages. We find a large decline in the redefault rate of both modified and self-cured mortgages over this period, but the improvement was greatest for modifications. Our analysis has identified several important factors contributing to the greater improvement for modified loans, including an increasing share of principal-reduction modifications, which appear to be more effective than other types of modification and increasingly generous modification terms (larger payment reductions). The favorable impacts of principal and payment reductions on household finances were enhanced by improving economic conditions, resulting in more effective modifications. Even after accounting for these factors, we still observe a larger decline in the redefault rate for modifications compared with similarly situated self-cured loans. This residual effect may reflect servicer "learning-by-doing"; that is, servicers gained knowledge as modification activity ramped up, resulting in more successful modification programs for later cohorts

     
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    Series: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 18, 26 (November 2018)
    FRB of Philadelphia Working Paper ; No. 18-26
    Subjects: mortgage modification; mortgage default; mortgage servicing
    Scope: 1 Online-Ressource (circa 46 Seiten), Illustrationen
  7. Consumer lending efficiency
    commercial banks versus a Fintech lender
    Author: Hughes, Joseph P.; Jagtiani, Julapa; Moon, Choon-geol
    Published: April 2019
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    We compare the performance of unsecured personal installment loans made by traditional bank lenders with that of LendingClub, using a stochastic frontier estimation technique to decompose the observed nonperforming loans into three components. The... more

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    We compare the performance of unsecured personal installment loans made by traditional bank lenders with that of LendingClub, using a stochastic frontier estimation technique to decompose the observed nonperforming loans into three components. The first is the best-practice minimum ratio that a lender could achieve if it were fully efficient at credit-risk evaluation and loan management. The second is a ratio that reflects the difference between the observed ratio (adjusted for noise) and the minimum ratio that gauges the lender’s relative proficiency at credit analysis and loan monitoring. The third is statistical noise. In 2013 and 2016, the largest bank lenders experienced the highest ratio of nonperformance, the highest inherent credit risk, and the highest lending efficiency, indicating that their high ratio of nonperformance is driven by inherent credit risk, rather than by lending inefficiency. LendingClub’s performance was similar to small bank lenders as of 2013. As of 2016, LendingClub’s performance resembled the largest bank lenders — the highest ratio of nonperforming loans, inherent credit risk, and lending efficiency — although its loan volume was smaller. Our findings are consistent with a previous study that suggests LendingClub became more effective in risk identification and pricing starting in 2015. Caveat: We note that this conclusion may not be applicable to fintech lenders in general, and the results may not hold under different economic conditions such as a downturn

     
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    Series: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 19, 22 (April 2019)
    FRB of Philadelphia Working Paper ; No. 19-22
    Subjects: marketplace lending; P2P lending; credit riskmanagement; lending efficiency
    Scope: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  8. Does scale matter in community bank performance?
    evidence obtained by applying several new measures of performance
    Author: Hughes, Joseph P.; Jagtiani, Julapa; Mester, Loretta J.; Moon, Choon-geol
    Published: [2019]
    Publisher:  Rutgers University, Department of Economics, New Brunswick, NJ

    We consider how size matters for banks in three size groups: small community banks with assets less than $1 billion, large community banks with assets between $1 billion and $10 billion, and midsize banks with assets between $10 billion and $50... more

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    We consider how size matters for banks in three size groups: small community banks with assets less than $1 billion, large community banks with assets between $1 billion and $10 billion, and midsize banks with assets between $10 billion and $50 billion. To illustrate the differences between these banks and larger banks whose business models are distinctly different, we examine large banks with assets between $50 billion and $250 billion and the largest banks with assets exceeding $250 billion. Community banks have potential advantages in relationship lending compared with large banks. However, increases in regulatory compliance and technological burdens may have disproportionately increased community banks' costs, raising concerns about small businesses' access to credit. Our evidence suggests several patterns: (1) while small community banks exhibit relatively more valuable investment opportunities, larger community banks, midsize banks, and larger banks exploit theirs more efficiently and achieve better financial performance; (2) average operating costs that include costs related to regulatory compliance and technology decrease with size; (3) unlike small community banks, large community banks have financial incentives to increase lending to small businesses; and (4) for business lending and commercial real estate lending, compared with small community banks, large community banks, midsize banks, and larger banks assume higher inherent credit risk and exhibit more efficient lending. Thus, concern that small business lending would be adversely affected if small community banks find it beneficial to increase their scale is not supported by our results.

     
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    Source: Union catalogues
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    Format: Online
    Other identifier:
    hdl: 10419/200277
    Edition: Revised May 2019
    Series: [Departmental working papers / Rutgers University, Department of Economics ; 201901]
    Scope: 1 Online-Ressource (circa 66 Seiten), Illustrationen
  9. How much did banks pay to become too-big-to-fail and to become systemically important?
    Author: Brewer, Elijah; Jagtiani, Julapa
    Published: 2009

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    Series: Working papers / Research Department, Federal Reserve Bank of Philadelphia ; 09,34
    Subjects: Bank; Übernahme; Betriebsgröße; Bankinsolvenz; Bankenregulierung; USA
    Scope: 56 S.
    Notes:

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  10. The mortgage and financial crises
    the role of credit risk management and corporate governance
    Author: Lang, William W.; Jagtiani, Julapa
    Published: 2010
    Publisher:  Financial Institutions Center, Wharton School, Univ. of Pennsylvania, Philadelphia, Pa.

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    Series: Working papers / Financial Institutions Center, Wharton School, University of Pennsylvania ; 10,12
    Subjects: Finanzkrise; Subprime-Krise; Corporate Governance; Risikomanagement; Kreditrisiko; Bank; USA
    Scope: Online-Ressource (31 S.), graph. Darst.
  11. Can banks circumvent minimum capital requirements?
    the case of mortgage portfolios under Basel II
    Author: Henderson, Christopher; Jagtiani, Julapa
    Published: 2010

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    Series: Working papers / Research Department, Federal Reserve Bank of Philadelphia ; 10,17
    Subjects: Bankenliquidität; Basler Akkord; Hypothek; Basler Akkord; Bankenregulierung; Theorie; USA
    Scope: 37 S., graph. Darst.
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  12. Corporate governance structure and mergers
    Author: Brewer, Elijah; Jackson, William E.; Jagtiani, Julapa
    Published: 2010

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    Series: Working papers / Research Department, Federal Reserve Bank of Philadelphia ; 10,26
    Subjects: Corporate Governance; Übernahme; Bank; Anlegerschutz; USA
    Scope: 28 S.
    Notes:

    Parallel als Online-Ausg. erschienen
  13. First-time homebuyers
    toward a new measure
    Author: Acolin, Arthur; Calem, Paul Seth; Jagtiani, Julapa; Wachter, Susan M.
    Published: October 9, 2017
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

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    Edition: Draft: October 9, 2017
    Series: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; no. 17, 36
    Subjects: first-time homebuyer; home ownership; credit access; housing market trends
    Scope: 1 Online-Ressource (circa 17 Seiten), Illustrationen
  14. Redefault risk in the aftermath of the mortgage crisis
    why did modifications improve more than self-cures?
    Author: Calem, Paul Seth; Jagtiani, Julapa; Maingi, Raman Quinn; Abell, David
    Published: January 2018
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

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    Series: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 18, 02 (January 2018)
    Subjects: mortgage modification; mortgage default; mortgage servicing
    Scope: 1 Online-Ressource (circa 46 Seiten), Illustrationen
  15. The interplay among financial regulations, resilience, and growth
    Author: Allen, Franklin; Goldstein, Itay; Jagtiani, Julapa
    Published: February 2018
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

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    Series: Working paper / Research Department, Federal Reserve Bank of Philadelphia ; 18, 09 (February 2018)
    Subjects: Finanzmarktregulierung; Koordination; Finanzsektor; Marktintegration; Bankenliquidität; USA
    Scope: 1 Online-Ressource (circa 30 Seiten), Illustrationen
  16. Does scale matter in community bank performance?
    evidence obtained by applying several new measures of performance
    Author: Hughes, Joseph P.; Jagtiani, Julapa; Mester, Loretta J.; Moon, Choon-geol
    Published: [2018]
    Publisher:  Rutgers University, Department of Economics, New Brunswick, NJ

    We consider how size matters for banks in three size groups: banks with assets of less than $ 1 billion (small community banks), banks with assets between $ 1 billion and $ 10 billion (large community banks), and banks with assets between $ 10... more

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    We consider how size matters for banks in three size groups: banks with assets of less than $ 1 billion (small community banks), banks with assets between $ 1 billion and $ 10 billion (large community banks), and banks with assets between $ 10 billion and $ 50 billion (midsize banks). Community banks have potential advantages in relationship lending compared with large banks. However, increases in regulatory compliance and technological burdens may have disproportionately increased community banks' costs, raising concerns about small businesses' access to credit. Our evidence suggests that: (1) the average costs related to regulatory compliance and technology decrease with size; (2) while small community banks exhibit relatively more valuable investment opportunities, larger community banks and midsize banks exploit theirs more efficiently and achieve better financial performance; (3) unlike small community banks, large community banks have financial incentives to increase lending to small businesses; and (4) for business lending and commercial real estate lending, large community banks and midsize banks assume higher inherent credit risk and exhibit more efficient lending. Thus, concern that small business lending would be adversely affected if small community banks find it beneficial to increase their scale is not supported by our results.

     
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    hdl: 10419/200273
    Series: [Departmental working papers / Rutgers University, Department of Economics ; 201803]
    Scope: 1 Online-Ressource (circa 48 Seiten), Illustrationen
  17. The impact of fintech lending on credit access for U.S. small businesses
    Author: Cornelli, Giulio; Frost, Jon; Gambacorta, Leonardo; Jagtiani, Julapa
    Published: [2022]
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

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    Series: Working papers / Research Department, Federal Reserve Bank of Philadelphia ; 22, 14 (April 2022)
    Subjects: fintech credit; peer-to-peer (P2P) lending; marketplace lending; small business lending(SBL); Funding Circle; LendingClub; alternative data; credit access; credit scoring
    Scope: 1 Online-Ressource (circa 51 Seiten), Illustrationen
  18. The impact of fintech lending on credit access for U.S. small businesses
    Author: Cornelli, Giulio; Frost, Jon; Gambacorta, Leonardo; Jagtiani, Julapa
    Published: September 2022
    Publisher:  Bank for International Settlements, Monetary and Economic Department, [Basel]

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    Media type: Book
    Format: Online
    Series: BIS working papers ; no 1041
    Subjects: fintech credit; peer-to-peer (P2P) lending; marketplace lending; small business lending (SBL); Funding Circle; LendingClub; alternative data; credit access; credit scoring
    Scope: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  19. Fintech, cryptocurrencies, and CBDC
    financial structural transformation in China
    Author: Allen, Franklin; Gu, Xian; Jagtiani, Julapa
    Published: [2022]
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    Access:
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 438
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: Working papers / Research Department, Federal Reserve Bank of Philadelphia ; 22, 12 (April 2022)
    Subjects: fintech; cryptocurrency regulations; stablecoins; CBDCs; e-CNY; China
    Scope: 1 Online-Ressource (circa 31 Seiten)
  20. Fintech, cryptocurrencies, and CBDC
    financial structural transformation in China
    Author: Allen, Franklin; Gu, Xian; Jagtiani, Julapa
    Published: 31 January 2022
    Publisher:  Centre for Economic Policy Research, London

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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    LZ 161
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    Location:
    Universitätsbibliothek Mannheim
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Array ; DP16977
    Subjects: Fintech; Cryptocurrency Regulations; stablecoins; CBDCs; e-CNY; China
    Scope: 1 Online-Ressource (circa 41 Seiten)
  21. Which lenders are more likely to reach out to underserved consumers
    banks versus fintechs versus other nonbanks?
    Author: Dolson, Erik; Jagtiani, Julapa
    Published: [2021]
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    Access:
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signature:
    VS 438
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: Working papers / Research Department, Federal Reserve Bank of Philadelphia ; 21, 17 (April 2021)
    Subjects: fintech; P2P lending; consumer credit access; personal lending; credit cards; mortgage lending; online lending; credit offers
    Scope: 1 Online-Ressource (circa 52 Seiten), Illustrationen
  22. Fintech lending and mortgage credit access
    Author: Jagtiani, Julapa; Lambie-Hanson, Lauren; Lambie-Hanson, Timothy
    Published: November 2019
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: Working papers / Research Department, Federal Reserve Bank of Philadelphia ; 19, 47 (November 2019)
    Scope: 1 Online-Ressource (circa 46 Seiten), Illustrationen
  23. The role of bank-fintech partnerships in creating a more inclusive banking system
    Author: Chernoff, Alan; Jagtiani, Julapa
    Published: [2023]
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    Access:
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    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 438
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: Working papers / Research Department, Federal Reserve Bank of Philadelphia ; 23, 21 (September 2023)
    Subjects: Fintech; alternative data; fintech partnership; financial inclusion; credit invisible
    Scope: 1 Online-Ressource (circa 32 Seiten), Illustrationen
  24. The impact of fintech lending on credit access for U.S. small businesses
    Author: Cornelli, Giulio; Frost, Jon; Gambacorta, Leonardo; Jagtiani, Julapa
    Published: 28 November 2022
    Publisher:  Centre for Economic Policy Research, London

    Access:
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    Verlag (lizenzpflichtig)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Location:
    Universitätsbibliothek Mannheim
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Array ; DP17705
    Subjects: Small business finance
    Scope: 1 Online-Ressource (circa 24 Seiten), Illustrationen
  25. Did fintech loans default more during the COVID-19 pandemic?
    were fintech firms "cream skimming" the best borrowers?
    Author: Jagtiani, Julapa; Lemieux, Catharine M.; Goldstein, Brandon
    Published: [2023]
    Publisher:  Research Department, Federal Reserve Bank of Philadelphia, Philadelphia, PA

    Access:
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    Resolving-System (kostenfrei)

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 438
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: Working papers / Research Department, Federal Reserve Bank of Philadelphia ; 23, 26 (October 2023)
    Subjects: Fintech; peer-to-peer (P2P); alternative data; financial inclusion; credit access; COVID-19; fintech loan default; cream skimming; fintech loan rate
    Scope: 1 Online-Ressource (circa 51 Seiten), Illustrationen