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The role of social and psychological related soft information in credit analysis: Evidence from a Fintech Company

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  • Wang, Yao
  • Drabek, Zdenek
  • Wang, Zhengwei

Abstract

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.

Suggested Citation

  • Wang, Yao & Drabek, Zdenek & Wang, Zhengwei, 2022. "The role of social and psychological related soft information in credit analysis: Evidence from a Fintech Company," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    • Handle: RePEc:eee:soceco:v:96:y:2022:i:c:s2214804321001464
    DOI: 10.1016/j.socec.2021.101806
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    1. Bertrand, Marianne & Karlan, Dean S. & Mullainathan, Sendhil & Shafir, Eldar & Zinman, Jonathan, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," Center Discussion Papers 28441, Yale University, Economic Growth Center.
    2. Berger, Allen N. & Miller, Nathan H. & Petersen, Mitchell A. & Rajan, Raghuram G. & Stein, Jeremy C., 2005. "Does function follow organizational form? Evidence from the lending practices of large and small banks," Journal of Financial Economics, Elsevier, vol. 76(2), pages 237-269, May.
    3. DeYoung, Robert & Glennon, Dennis & Nigro, Peter, 2008. "Borrower-lender distance, credit scoring, and loan performance: Evidence from informational-opaque small business borrowers," Journal of Financial Intermediation, Elsevier, vol. 17(1), pages 113-143, January.
    4. Allen N. Berger & Gregory F. Udell, 2002. "Small Business Credit Availability and Relationship Lending: The Importance of Bank Organisational Structure," Economic Journal, Royal Economic Society, vol. 112(477), pages 32-53, February.
    5. Hirofumi Uchida, 2011. "What Do Banks Evaluate When They Screen Borrowers? Soft Information, Hard Information and Collateral," Journal of Financial Services Research, Springer;Western Finance Association, vol. 40(1), pages 29-48, October.
    6. Douglas W. Diamond, 1984. "Financial Intermediation and Delegated Monitoring," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(3), pages 393-414.
    7. Sumit Agarwal, 2010. "Distance and Private Information in Lending," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2757-2788, July.
    8. Gonzalez, Laura & Loureiro, Yuliya Komarova, 2014. "When can a photo increase credit? The impact of lender and borrower profiles on online peer-to-peer loans," Journal of Behavioral and Experimental Finance, Elsevier, vol. 2(C), pages 44-58.
    9. Nataliya Barasinska & Dorothea Schäfer, 2010. "Does Gender Affect Funding Success at the Peer-to-Peer Credit Markets?: Evidence from the Largest German Lending Platform," Discussion Papers of DIW Berlin 1094, DIW Berlin, German Institute for Economic Research.
    10. Sumit Agarwal & Brent W. Ambrose & Souphala Chomsisengphet & Chunlin Liu, 2011. "The Role of Soft Information in a Dynamic Contract Setting: Evidence from the Home Equity Credit Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(4), pages 633-655, June.
    11. Marianne Bertrand & Dean Karlan & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2010. "What's Advertising Content Worth? Evidence from a Consumer Credit Marketing Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 263-306.
    12. Cuiqing Jiang & Zhao Wang & Ruiya Wang & Yong Ding, 2018. "Loan default prediction by combining soft information extracted from descriptive text in online peer-to-peer lending," Annals of Operations Research, Springer, vol. 266(1), pages 511-529, July.
    13. Godbillon-Camus, Brigitte & Godlewski, Christophe, 2005. "Credit risk management in banks: Hard information, soft Information and manipulation," MPRA Paper 1873, University Library of Munich, Germany.
    14. Grunert, Jens & Norden, Lars & Weber, Martin, 2005. "The role of non-financial factors in internal credit ratings," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 509-531, February.
    15. Jeremy C. Stein, 2002. "Information Production and Capital Allocation: Decentralized versus Hierarchical Firms," Journal of Finance, American Finance Association, vol. 57(5), pages 1891-1921, October.
    16. Ning Ding & Hung-Gay Fung & Jingyi Jia, 2020. "Shadow Banking, Bank Ownership, and Bank Efficiency in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(15), pages 3785-3804, December.
    17. Jimenez, Gabriel & Saurina, Jesus, 2004. "Collateral, type of lender and relationship banking as determinants of credit risk," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2191-2212, September.
    18. Berger, Allen N & Frame, W Scott & Miller, Nathan H, 2005. "Credit Scoring and the Availability, Price, and Risk of Small Business Credit," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(2), pages 191-222, April.
    19. Lea, Stephen E. G. & Webley, Paul & Walker, Catherine M., 1995. "Psychological factors in consumer debt: Money management, economic socialization, and credit use," Journal of Economic Psychology, Elsevier, vol. 16(4), pages 681-701, December.
    20. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
    21. Khwaja, Asim Ijaz & Iyer, Rajkamal & Luttmer, Erzo F.P. & Shue, Kelly, 2009. "Screening in New Credit Markets: Can Individual Lenders Infer Borrower Creditworthiness in Peer-to-Peer Lending?," Scholarly Articles 4448882, Harvard Kennedy School of Government.
    22. Arvind Ashta & Djamchid Assadi, 2009. "An Analysis of European Online micro-lending Websites," Working Papers CEB 09-059.RS, ULB -- Universite Libre de Bruxelles.
    23. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    24. Huijuan Wang & Mengxia Yu & Lu Zhang, 2019. "Seeing is important: the usefulness of video information in P2P," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S2), pages 2073-2103, November.
    25. George A. Akerlof & Rachel E. Kranton, 2000. "Economics and Identity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 715-753.
    26. Dorfleitner, Gregor & Priberny, Christopher & Schuster, Stephanie & Stoiber, Johannes & Weber, Martina & de Castro, Ivan & Kammler, Julia, 2016. "Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 169-187.
    27. Wimboh Santoso & Irwan Trinugroho & Tastaftiyan Risfandy, 2020. "What Determine Loan Rate and Default Status in Financial Technology Online Direct Lending? Evidence from Indonesia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(2), pages 351-369, January.
    28. Martin Chorzempa, 2018. "China Needs Better Credit Data to Help Consumers," Policy Briefs PB18-1, Peterson Institute for International Economics.
    29. José María Liberti & Mitchell A. Petersen, 2018. "Information: Hard and Soft," NBER Working Papers 25075, National Bureau of Economic Research, Inc.
    30. Richard T. Thakor & Robert C. Merton, 2018. "Trust in Lending," NBER Working Papers 24778, National Bureau of Economic Research, Inc.
    31. Seth M. Freedman & Ginger Zhe Jin, 2011. "Learning by Doing with Asymmetric Information: Evidence from Prosper.com," NBER Working Papers 16855, National Bureau of Economic Research, Inc.
    32. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Luz López-Palacios, 2015. "Determinants of Default in P2P Lending," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    33. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    34. Robert Order & Peter Zorn, 2000. "Income, Location and Default: Some Implications for Community Lending," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(3), pages 385-404.
    35. Dell'Ariccia, Giovanni & Marquez, Robert, 2004. "Information and bank credit allocation," Journal of Financial Economics, Elsevier, vol. 72(1), pages 185-214, April.
    36. Horrigan, Jo, 1966. "Determination Of Long-Term Credit Standing With Financial Ratios," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 44-62.
    37. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    38. Jefferson Duarte & Stephan Siegel & Lance Young, 2012. "Trust and Credit: The Role of Appearance in Peer-to-peer Lending," The Review of Financial Studies, Society for Financial Studies, vol. 25(8), pages 2455-2484.
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    2. Chunling Li & Nosherwan Khaliq & Leslie Chinove & Usama Khaliq & Judit Oláh, 2023. "Consumers’ Perception of Risk Facets Associated With Fintech Use: Evidence From Pakistan," SAGE Open, , vol. 13(4), pages 21582440231, October.

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