The role of social and psychological related soft information in credit analysis: evidence from a Fintech company
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F22%3A00556737" target="_blank" >RIV/67985998:_____/22:00556737 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11230/22:10435284
Result on the web
<a href="https://doi.org/10.1016/j.socec.2021.101806" target="_blank" >https://doi.org/10.1016/j.socec.2021.101806</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.socec.2021.101806" target="_blank" >10.1016/j.socec.2021.101806</a>
Alternative languages
Result language
angličtina
Original language name
The role of social and psychological related soft information in credit analysis: evidence from a Fintech company
Original language description
Improvements in the quality of information in credit appraisal are paramount to the greater efficiency of credit markets. The existing research to assess the role of soft information in credit markets has so far been very limited and inconclusive due to differences in approaches and methodological limitations. The aim of this paper is to discuss the role of social and psychological related soft information in predicting defaults in the P2P lending market and to assess the importance of such information in Fintech credit analysis. Using a unique dataset from the pioneer P2P lending platform RRDai.com and alternative models of testing, we compared the predictive performance of soft information, hard information and combined hard and soft information on defaults. The results show that soft information can provide valuable input into credit appraisals. Soft information shows high predictive power in our test, and combined with hard information, it increases the power of our model to predict defaults.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
<a href="/en/project/GA18-04630S" target="_blank" >GA18-04630S: The Economic Impact of Investment Disputes</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Behavioral and Experimental Economics
ISSN
2214-8043
e-ISSN
2214-8051
Volume of the periodical
96
Issue of the periodical within the volume
February
Country of publishing house
US - UNITED STATES
Number of pages
19
Pages from-to
101806
UT code for WoS article
000731074200003
EID of the result in the Scopus database
2-s2.0-85120869761