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The perfect bail‐in: Financing without banks using peer‐to‐peer lending

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  • Efstathios Polyzos
  • Aristeidis Samitas
  • Ghulame Rubbaniy

Abstract

We explore the potential outcomes for financial stability when using peer‐to‐peer lenders to finance economic activity. Combining Random Regression Forests, a machine‐learning process, with an agent‐based model, we perform simulations on artificial economies with various degrees of adoption of peer‐to‐peer lending. We find that as peer‐to‐peer lenders proliferate, there is increased financial instability, lower GDP and higher unemployment. On the other hand, peer‐to‐peer lending increases the total volume of loans given out but demonstrates a preference towards consumer loans (over corporate loans), which has a negative effect in the long run. Finally, introducing peer‐to‐peer lenders increases the access of the unbanked to services which conventional banking is not able to offer within the extant regulatory framework. Our results can help policymakers as they address the issue of regulation in the peer‐to‐peer finance industry.

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  • Efstathios Polyzos & Aristeidis Samitas & Ghulame Rubbaniy, 2024. "The perfect bail‐in: Financing without banks using peer‐to‐peer lending," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3393-3412, July.
    • Handle: RePEc:wly:ijfiec:v:29:y:2024:i:3:p:3393-3412
    DOI: 10.1002/ijfe.2838
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    1. Pascaline Dupas & Dean Karlan & Jonathan Robinson & Diego Ubfal, 2018. "Banking the Unbanked? Evidence from Three Countries," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 257-297, April.
    2. Wolfgang Breuer & Can K. Soypak & Bertram I. Steininger, 2020. "Magnitude effects in lending and borrowing: empirical evidence from a P2P platform," The European Journal of Finance, Taylor & Francis Journals, vol. 26(9), pages 854-873, June.
    3. Mr. Luc Laeven & Mr. Fabian Valencia, 2010. "Resolution of Banking Crises: The Good, the Bad, and the Ugly," IMF Working Papers 2010/146, International Monetary Fund.
    4. Dung V. Tran & M. Kabir Hassan & Isabelle Girerd‐Potin & Pascal Louvet, 2020. "Activity Strategies, Agency Problems, And Bank Risk," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(3), pages 575-613, August.
    5. Olena Havrylchyk & Marianne Verdier, 2018. "The Financial Intermediation Role of the P2P Lending Platforms," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(1), pages 115-130, March.
    6. Mild, Andreas & Waitz, Martin & Wöckl, Jürgen, 2015. "How low can you go? — Overcoming the inability of lenders to set proper interest rates on unsecured peer-to-peer lending markets," Journal of Business Research, Elsevier, vol. 68(6), pages 1291-1305.
    7. Tong Wang & Sheng Zhao & Xin Shen, 2021. "Why does regional information matter? evidence from peer-to-peer lending," The European Journal of Finance, Taylor & Francis Journals, vol. 27(4-5), pages 346-366, March.
    8. Giarda, Elena, 2013. "Persistency of financial distress amongst Italian households: Evidence from dynamic models for binary panel data," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3425-3434.
    9. Larry G. Epstein & Stanley E. Zin, 2013. "Substitution, risk aversion and the temporal behavior of consumption and asset returns: A theoretical framework," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 12, pages 207-239, World Scientific Publishing Co. Pte. Ltd..
    10. François Marini, 2003. "Bank Insolvency, Deposit Insurance, and Capital Adequacy," Journal of Financial Services Research, Springer;Western Finance Association, vol. 24(1), pages 67-78, August.
    11. Chen, Xiao & Huang, Bihong & Ye, Dezhu, 2020. "Gender gap in peer-to-peer lending: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 112(C).
    12. He, Feng & Qin, Shuqi & Zhang, Xiaotao, 2021. "Investor attention and platform interest rate in Chinese peer-to-peer lending market," Finance Research Letters, Elsevier, vol. 39(C).
    13. Reint Gropp & Florian Heider, 2010. "The Determinants of Bank Capital Structure," Review of Finance, European Finance Association, vol. 14(4), pages 587-622.
    14. Midgley, David & Marks, Robert & Kunchamwar, Dinesh, 2007. "Building and assurance of agent-based models: An example and challenge to the field," Journal of Business Research, Elsevier, vol. 60(8), pages 884-893, August.
    15. Chen, Minjia & Matousek, Roman, 2020. "Do productive firms get external finance? Evidence from Chinese listed manufacturing firms," International Review of Financial Analysis, Elsevier, vol. 67(C).
    16. 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.
    17. Rafael Di Tella & Robert J. MacCulloch & Andrew J. Oswald, 2003. "The Macroeconomics of Happiness," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 809-827, November.
    18. Mercadier, Mathieu & Lardy, Jean-Pierre, 2019. "Credit spread approximation and improvement using random forest regression," European Journal of Operational Research, Elsevier, vol. 277(1), pages 351-365.
    19. Chen, Xiao & Chong, Zhaohui & Giudici, Paolo & Huang, Bihong, 2022. "Network centrality effects in peer to peer lending," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    20. Barrell, Ray & Davis, E. Philip & Pomerantz, Olga, 2006. "Costs of financial instability, household-sector balance sheets and consumption," Journal of Financial Stability, Elsevier, vol. 2(2), pages 194-216, June.
    21. von Peter, Goetz, 2009. "Asset prices and banking distress: A macroeconomic approach," Journal of Financial Stability, Elsevier, vol. 5(3), pages 298-319, September.
    22. 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.
    23. Colombo, Emilio & Onnis, Luisanna & Tirelli, Patrizio, 2016. "Shadow economies at times of banking crises: Empirics and theory," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 180-190.
    24. Schmidt, Reinhard H. & Hackethal, Andreas & Tyrell, Marcel, 1999. "Disintermediation and the Role of Banks in Europe: An International Comparison," Journal of Financial Intermediation, Elsevier, vol. 8(1-2), pages 36-67, January.
    25. Ninghua Du & Lingfang Li & Tian Lu & Xianghua Lu, 2020. "Prosocial Compliance in P2P Lending: A Natural Field Experiment," Management Science, INFORMS, vol. 66(1), pages 315-333, January.
    26. Mr. Luc Laeven & Mr. Fabian Valencia, 2018. "Systemic Banking Crises Revisited," IMF Working Papers 2018/206, International Monetary Fund.
    27. Polyzos, Stathis & Samitas, Aristeidis & Katsaiti, Marina-Selini, 2020. "Who is unhappy for Brexit? A machine-learning, agent-based study on financial instability," International Review of Financial Analysis, Elsevier, vol. 72(C).
    28. Schubring, Sandra & Lorscheid, Iris & Meyer, Matthias & Ringle, Christian M., 2016. "The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation," Journal of Business Research, Elsevier, vol. 69(10), pages 4604-4612.
    29. Zhu, Zongyuan, 2018. "Safety promise, moral hazard and financial supervision: Evidence from peer-to-peer lending," Finance Research Letters, Elsevier, vol. 27(C), pages 1-5.
    30. Allen, Franklin & Santomero, Anthony M., 2001. "What do financial intermediaries do?," Journal of Banking & Finance, Elsevier, vol. 25(2), pages 271-294, February.
    31. Boyd, John H. & De Nicolò, Gianni & Rodionova, Tatiana, 2019. "Banking crises and crisis dating: Disentangling shocks and policy responses," Journal of Financial Stability, Elsevier, vol. 41(C), pages 45-54.
    32. Bruce C. Greenwald & Joseph E. Stiglitz, 1993. "Financial Market Imperfections and Business Cycles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(1), pages 77-114.
    33. Gao, Guang-Xin & Fan, Zhi-Ping & Fang, Xin & Lim, Yun Fong, 2018. "Optimal Stackelberg strategies for financing a supply chain through online peer-to-peer lending," European Journal of Operational Research, Elsevier, vol. 267(2), pages 585-597.
    34. Polyzos, Stathis & Samitas, Aristeidis & Kampouris, Ilias, 2021. "Economic stimulus through bank regulation: Government responses to the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    35. Xavier Freixas & Curzio Giannini & Glenn Hoggarth & Farouk Soussa, 2000. "Lender of Last Resort: What Have We Learned Since Bagehot?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 18(1), pages 63-84, October.
    36. Liu, Zhengchi & Shang, Jennifer & Wu, Shin-yi & Chen, Pei-yu, 2020. "Social collateral, soft information and online peer-to-peer lending: A theoretical model," European Journal of Operational Research, Elsevier, vol. 281(2), pages 428-438.
    37. 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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