Cited by 521FinTech, Crowdfunding, Digital FinanceDigital Transformation in Financial ServicesMicrofinance and Financial Inclusion

Fintech and access to finance

Bollaert, Helen, Lopez-de-Silanes, Florencio, Schwienbacher, Armin·2021·Journal of Corporate Finance

Integrity signals

Registry

Crossref · 10.1016/j.jcorpfin.2021.101941

Cites

127 of 127 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Bollaert, H., Lopez-de-Silanes, F., & Schwienbacher, A.
Affiliations
SKEMA Business School (FR)
Corresponding author
Schwienbacher, Armin
Venue
Journal of Corporate Finance
Publisher
Elsevier BV
Published
2021-06
Volume
68
Pages
101941
ISSN
0929-1199 (ISSN-L)
OpenAlex
W3139975196
Cited by
521
References
127
Citations by year
2026: 77 · 2025: 129 · 2024: 136 · 2023: 116 · 2022: 49 · 2021: 13 · 2019: 1
FWCI
77.58
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Corporate Finance (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › FinTech, Crowdfunding, Digital Finance
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Digital Transformation in Financial Services
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Microfinance and Financial Inclusion
Keywords
fintech, access to finance, digital finance, fintech lending, peer-to-peer lending, crowdfunding, initial coin offerings, financial regulation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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