IDEAS home Printed from https://ideas.repec.org/a/eee/glofin/v63y2024ics1044028324001224.html

Estimating probability of default via delinquencies? Evidence from European P2P lending market

Author

Listed:
  • Nigmonov, Asror
  • Shams, Syed
  • Urbonas, Povilas

Abstract

The unprecedented growth of the financial sector's digital transformation opens wide areas to the scaling up of finance in innovative and knowledge-based projects. Improving risk management takes centre stage in the acceleration of this process. This study uses loan-book data from the peer-to-peer (P2P) lending market to empirically investigate the determinants of default risk. Using the loan-book database covering the period from 2014 to 2020, we examine multiple factors related to the default risk of loans issued by P2P lending platforms. The results indicate that a higher interest rate and higher stock market returns increase the probability of default in the P2P lending market. Results are robust to additional tests based on endogeneity correction, the LASSO method and sampling bias. The severity of the impact of market returns and interest rates is found to be significantly different based on the levels of financial technology (FinTech) adoption and banking sector distress. Increases in the market interest rate are found to boost the sensitivity of P2P loan defaults to stock market volatility. This study contributes to existing literature on risk management models with its consideration of country-specific factors, paving the way to future best practices in the market.

Suggested Citation

  • Nigmonov, Asror & Shams, Syed & Urbonas, Povilas, 2024. "Estimating probability of default via delinquencies? Evidence from European P2P lending market," Global Finance Journal, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:glofin:v:63:y:2024:i:c:s1044028324001224
    DOI: 10.1016/j.gfj.2024.101050
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1044028324001224
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.gfj.2024.101050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Evangelia Avgeri & Maria Psillaki, 2023. "Factors determining default in P2P lending," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 51(4), pages 823-840, September.
    2. Khieu, Hinh D. & Mullineaux, Donald J. & Yi, Ha-Chin, 2012. "The determinants of bank loan recovery rates," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 923-933.
    3. Gabriela V. Cohen Freue & Hernan Ortiz-Molina & Ruben H. Zamar, 2013. "A Natural Robustification of the Ordinary Instrumental Variables Estimator," Biometrics, The International Biometric Society, vol. 69(3), pages 641-650, September.
    4. Thakor, Anjan, 2020. "Corrigendum to: Fintech and Banking: What Do We Know?," Journal of Financial Intermediation, Elsevier, vol. 43(C).
    5. Duffie, Darrell & Saita, Leandro & Wang, Ke, 2007. "Multi-period corporate default prediction with stochastic covariates," Journal of Financial Economics, Elsevier, vol. 83(3), pages 635-665, March.
    6. Mr. Raphael A Espinoza & Mr. Ananthakrishnan Prasad, 2010. "Nonperforming Loans in the GCC Banking System and their Macroeconomic Effects," IMF Working Papers 2010/224, International Monetary Fund.
    7. Galema, Rients, 2020. "Credit rationing in P2P lending to SMEs: Do lender-borrower relationships matter?," Journal of Corporate Finance, Elsevier, vol. 65(C).
    8. Isaiah Andrews & James H. Stock & Liyang Sun, 2019. "Weak Instruments in Instrumental Variables Regression: Theory and Practice," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 727-753, August.
    9. Jabeur, Sami Ben & Gharib, Cheima & Mefteh-Wali, Salma & Arfi, Wissal Ben, 2021. "CatBoost model and artificial intelligence techniques for corporate failure prediction," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    10. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    11. Young, Alwyn, 2022. "Consistency without inference: instrumental variables in practical application," LSE Research Online Documents on Economics 115011, London School of Economics and Political Science, LSE Library.
    12. Natacha Valla & Beatrice Saes-Escorbiac & Muriel Tiesset, 2008. "Bank liquidity and financial stability," IFC Bulletins chapters, in: Bank for International Settlements (ed.),The IFC's contributi2827, volume 28, pages 40-47, Bank for International Settlements.
    13. Prasanna Gai & Sujit Kapadia, 2010. "Contagion in financial networks," Bank of England working papers 383, Bank of England.
    14. Akhtaruzzaman, Md & Boubaker, Sabri & Sensoy, Ahmet, 2021. "Financial contagion during COVID–19 crisis," Finance Research Letters, Elsevier, vol. 38(C).
    15. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    16. Ronchetti, Elvezio & Trojani, Fabio, 2001. "Robust inference with GMM estimators," Journal of Econometrics, Elsevier, vol. 101(1), pages 37-69, March.
    17. Nigmonov, Asror & Shams, Syed & Alam, Khorshed, 2022. "Macroeconomic determinants of loan defaults: Evidence from the U.S. peer-to-peer lending market," Research in International Business and Finance, Elsevier, vol. 59(C).
    18. Alexandre Belloni & Victor Chernozhukov & Ying Wei, 2016. "Post-Selection Inference for Generalized Linear Models With Many Controls," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 606-619, October.
    19. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya, 2011. "Corporate bond default risk: A 150-year perspective," Journal of Financial Economics, Elsevier, vol. 102(2), pages 233-250.
    20. Stiglitz, Joseph E & Weiss, Andrew, 1992. "Asymmetric Information in Credit Markets and Its Implications for Macro-economics," Oxford Economic Papers, Oxford University Press, vol. 44(4), pages 694-724, October.
    21. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    22. Bebczuk,Ricardo N., 2003. "Asymmetric Information in Financial Markets," Cambridge Books, Cambridge University Press, number 9780521793421.
    23. René M. Stulz, 2019. "FinTech, BigTech, and the Future of Banks," Journal of Applied Corporate Finance, Morgan Stanley, vol. 31(4), pages 86-97, December.
    24. Victor Chernozhukov & Christian Hansen & Martin Spindler, 2015. "Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 649-688, August.
    25. Lars Norden & Martin Weber, 2009. "The Co†movement of Credit Default Swap, Bond and Stock Markets: an Empirical Analysis," European Financial Management, European Financial Management Association, vol. 15(3), pages 529-562, June.
    26. 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.
    27. Jagtiani, Julapa & Lemieux, Catharine, 2018. "Do fintech lenders penetrate areas that are underserved by traditional banks?," Journal of Economics and Business, Elsevier, vol. 100(C), pages 43-54.
    28. Mr. Thomas F. Cosimano & Ms. Dalia S Hakura, 2011. "Bank Behavior in Response to Basel Iii: A Cross-Country Analysis," IMF Working Papers 2011/119, International Monetary Fund.
    29. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    30. Pierre Collin‐Dufresne & Robert S. Goldstein, 2001. "Do Credit Spreads Reflect Stationary Leverage Ratios?," Journal of Finance, American Finance Association, vol. 56(5), pages 1929-1957, October.
    31. Babaei, Golnoosh & Giudici, Paolo & Raffinetti, Emanuela, 2023. "Explainable FinTech lending," Journal of Economics and Business, Elsevier, vol. 125.
    32. Michelle Bergmann, 2020. "The Determinants of Mortgage Defaults in Australia – Evidence for the Double-trigger Hypothesis," RBA Research Discussion Papers rdp2020-03, Reserve Bank of Australia.
    33. Jaffee, Dwight & Stiglitz, Joseph, 1990. "Credit rationing," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 2, chapter 16, pages 837-888, Elsevier.
    34. Ericsson, Jan & Jacobs, Kris & Oviedo, Rodolfo, 2009. "The Determinants of Credit Default Swap Premia," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 109-132, February.
    35. Buchak, Greg & Matvos, Gregor & Piskorski, Tomasz & Seru, Amit, 2018. "Fintech, regulatory arbitrage, and the rise of shadow banks," Journal of Financial Economics, Elsevier, vol. 130(3), pages 453-483.
    36. Patrick Royston & Paul C. Lambert, 2011. "Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model," Stata Press books, StataCorp LLC, number fpsaus, August.
    37. Jokivuolle, Esa & Virén, Matti, 2013. "Cyclical default and recovery in stress testing loan losses," Journal of Financial Stability, Elsevier, vol. 9(1), pages 139-149.
    38. Ziwei Mei & Zhentao Shi, 2022. "On LASSO for High Dimensional Predictive Regression," Papers 2212.07052, arXiv.org, revised Jan 2024.
    39. Arnoud W. A. Boot & Anjan V. Thakor, 2000. "Can Relationship Banking Survive Competition?," Journal of Finance, American Finance Association, vol. 55(2), pages 679-713, April.
    40. 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.
    41. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
    42. Bocola, Luigi & Bornstein, Gideon & Dovis, Alessandro, 2019. "Quantitative sovereign default models and the European debt crisis," Journal of International Economics, Elsevier, vol. 118(C), pages 20-30.
    43. Wadud, Mokhtarul & Ali Ahmed, Huson Joher & Tang, Xueli, 2020. "Factors affecting delinquency of household credit in the U.S.: Does consumer sentiment play a role?," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    44. Asror Nigmonov & Syed Shams, 2021. "COVID-19 pandemic risk and probability of loan default: evidence from marketplace lending market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
    45. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "High-Dimensional Methods and Inference on Structural and Treatment Effects," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
    46. Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2020. "Corporate Default Predictions Using Machine Learning: Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-11, August.
    47. Norden, Lars & Wagner, Wolf, 2008. "Credit derivatives and loan pricing," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2560-2569, December.
    48. Bester, Helmut, 1985. "Screening vs. Rationing in Credit Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 75(4), pages 850-855, September.
    49. Louzis, Dimitrios P. & Vouldis, Angelos T. & Metaxas, Vasilios L., 2012. "Macroeconomic and bank-specific determinants of non-performing loans in Greece: A comparative study of mortgage, business and consumer loan portfolios," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 1012-1027.
    50. Andreas Fuster & Paul S. Willen, 2017. "Payment Size, Negative Equity, and Mortgage Default," American Economic Journal: Economic Policy, American Economic Association, vol. 9(4), pages 167-191, November.
    51. Husni Ali Khrawish & Walid Zakaria Siam & Mohammad Jaradat, 2010. "The relationships between stock market capitalization rate and interest rate: Evidence from Jordan," Business and Economic Horizons (BEH), Prague Development Center, vol. 2(2), pages 60-66, July.
    52. 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.
    53. Amemiya, Takeshi, 1978. "The Estimation of a Simultaneous Equation Generalized Probit Model," Econometrica, Econometric Society, vol. 46(5), pages 1193-1205, September.
    54. González-Coya Emilio & Perron Pierre, 2024. "Estimation in the Presence of Heteroskedasticity of Unknown Form: A Lasso-based Approach," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 29-48, January.
    55. Figlewski, Stephen & Frydman, Halina & Liang, Weijian, 2012. "Modeling the effect of macroeconomic factors on corporate default and credit rating transitions," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 87-105.
    56. Bruce Greenwald & Joseph E. Stiglitz, 1987. "Money, Imperfect Information and Economic Fluctuations," NBER Working Papers 2188, National Bureau of Economic Research, Inc.
    57. Sudheer Chava & Robert A. Jarrow, 2008. "Bankruptcy Prediction with Industry Effects," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 21, pages 517-549, World Scientific Publishing Co. Pte. Ltd..
    58. Chen, Peimin & Wu, Chunchi, 2014. "Default prediction with dynamic sectoral and macroeconomic frailties," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 211-226.
    59. Bonfim, Diana, 2009. "Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 281-299, February.
    60. Ali, Asghar & Daly, Kevin, 2010. "Macroeconomic determinants of credit risk: Recent evidence from a cross country study," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 165-171, June.
    61. Chae Woo Nam & Tong Suk Kim & Nam Jung Park & Hoe Kyung Lee, 2008. "Bankruptcy prediction using a discrete-time duration model incorporating temporal and macroeconomic dependencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 493-506.
    62. Young, Alwyn, 2022. "Consistency without Inference: Instrumental Variables in Practical Application," European Economic Review, Elsevier, vol. 147(C).
    63. Nourallah, Mustafa & Öhman, Peter & Hamati, Samer, 2024. "Financial technology and financial capability: Study of the European Union," Global Finance Journal, Elsevier, vol. 62(C).
    64. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    65. Rubaszek, Michał & Serwa, Dobromił, 2014. "Determinants of credit to households: An approach using the life-cycle model," Economic Systems, Elsevier, vol. 38(4), pages 572-587.
    66. Huan Tang, 2019. "Peer-to-Peer Lenders Versus Banks: Substitutes or Complements?," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1900-1938.
    67. Johan, Sofia & Zhang, Minjie, 2016. "Private equity exits in emerging markets," Emerging Markets Review, Elsevier, vol. 29(C), pages 133-153.
    68. Yeujun Yoon & Yu Li & Yan Feng, 2019. "Factors affecting platform default risk in online peer-to-peer (P2P) lending business: an empirical study using Chinese online P2P platform data," Electronic Commerce Research, Springer, vol. 19(1), pages 131-158, March.
    69. Merton, Robert C. & Thakor, Richard T., 2019. "Customers and investors: A framework for understanding the evolution of financial institutions," Journal of Financial Intermediation, Elsevier, vol. 39(C), pages 4-18.
    70. Boubaker, Sabri & Farag, Hisham & Nguyen, Duc Khuong, 2015. "Short-term overreaction to specific events: Evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 35(C), pages 153-165.
    71. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    72. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    73. Cornett, Marcia Millon & McNutt, Jamie John & Strahan, Philip E. & Tehranian, Hassan, 2011. "Liquidity risk management and credit supply in the financial crisis," Journal of Financial Economics, Elsevier, vol. 101(2), pages 297-312, August.
    74. Tensie Steijvers & Wim Voordeckers, 2009. "Collateral And Credit Rationing: A Review Of Recent Empirical Studies As A Guide For Future Research," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 924-946, December.
    75. Petr Jakubík, 2006. "Does Credit Risk Vary with Economic Cycles? The Case of Finland," Working Papers IES 2006/11, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2006.
    76. Mei, Ziwei & Shi, Zhentao, 2024. "On LASSO for high dimensional predictive regression," Journal of Econometrics, Elsevier, vol. 242(2).
    77. Jiang, Cuixia & Xiong, Wei & Xu, Qifa & Liu, Yezheng, 2021. "Predicting default of listed companies in mainland China via U-MIDAS Logit model with group lasso penalty," Finance Research Letters, Elsevier, vol. 38(C).
    78. Kevin Aretz & Chris Florackis & Alexandros Kostakis, 2018. "Do Stock Returns Really Decrease with Default Risk? New International Evidence," Management Science, INFORMS, vol. 64(8), pages 3821-3842, August.
    79. Bu, Ya & Du, Xin & Li, Hui & Yu, Xinghui & Wang, Yuting, 2023. "Research on the FinTech risk early warning based on the MS-VAR model: An empirical analysis in China," Global Finance Journal, Elsevier, vol. 58(C).
    80. Ma, Qianli & Xu, Lei & Anwar, Sajid & Lu, Zenghua, 2023. "Banking competition and the use of shadow credit: Evidence from lending marketplaces," Global Finance Journal, Elsevier, vol. 58(C).
    81. Menkhoff, Lukas & Neuberger, Doris & Rungruxsirivorn, Ornsiri, 2012. "Collateral and its substitutes in emerging markets’ lending," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 817-834.
    82. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    83. Ghosh, Amit, 2015. "Banking-industry specific and regional economic determinants of non-performing loans: Evidence from US states," Journal of Financial Stability, Elsevier, vol. 20(C), pages 93-104.
    84. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    85. Thorsten Beck, 2013. "Bank Financing for SMEs – Lessons from the Literature," National Institute Economic Review, National Institute of Economic and Social Research, vol. 225(1), pages 23-38, August.
    86. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 18(1), pages 109-131.
    87. Tian, Shaonan & Yu, Yan & Guo, Hui, 2015. "Variable selection and corporate bankruptcy forecasts," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 89-100.
    88. Calebe de Roure & Loriana Pelizzon & Anjan Thakor, 2022. "P2P Lenders versus Banks: Cream Skimming or Bottom Fishing? [Loan officer incentives, internal rating models and default rates]," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 11(2), pages 213-262.
    89. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    90. Stewart Jones, 2017. "Corporate bankruptcy prediction: a high dimensional analysis," Review of Accounting Studies, Springer, vol. 22(3), pages 1366-1422, September.
    91. Riza Emekter & Yanbin Tu & Benjamas Jirasakuldech & Min Lu, 2015. "Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 54-70, January.
    92. Scott D. Dyreng & William J. Mayew & Christopher D. Williams, 2012. "Religious Social Norms and Corporate Financial Reporting," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 39(7-8), pages 845-875, September.
    93. Degryse, Hans & Ongena, Steven, 2007. "The impact of competition on bank orientation," Journal of Financial Intermediation, Elsevier, vol. 16(3), pages 399-424, July.
    94. Martin Kukuk & Michael Rönnberg, 2013. "Corporate credit default models: a mixed logit approach," Review of Quantitative Finance and Accounting, Springer, vol. 40(3), pages 467-483, April.
    95. Hodula, Martin, 2022. "Does Fintech credit substitute for traditional credit? Evidence from 78 countries," Finance Research Letters, Elsevier, vol. 46(PB).
    96. Liang, Deron & Lu, Chia-Chi & Tsai, Chih-Fong & Shih, Guan-An, 2016. "Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study," European Journal of Operational Research, Elsevier, vol. 252(2), pages 561-572.
    97. Elisabete Félix & Cesaltina Pires & Mohamed Gulamhussen, 2013. "The Determinants of Venture Capital in Europe — Evidence Across Countries," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(3), pages 259-279, December.
    98. Khrawish, Husni Ali & Siam, Walid Zakaria & Jaradat, Mohammad, . "The relationships between stock market capitalization rate and interest rate: Evidence from Jordan," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 2(2), pages 1-7.
    99. Xie, Xueyan & Zhu, Xiaoyang, 2022. "FinTech and capital allocation efficiency: Another equity-efficiency dilemma?," Global Finance Journal, Elsevier, vol. 53(C).
    100. Kim, Hyeongjun & Cho, Hoon & Ryu, Doojin, 2018. "An empirical study on credit card loan delinquency," Economic Systems, Elsevier, vol. 42(3), pages 437-449.
    101. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    102. Rajeev Goel & Iftekhar Hasan, 2011. "Economy-wide corruption and bad loans in banking: international evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 21(7), pages 455-461.
    103. Alessandra Tanda & Cristiana-Maria Schena, 2019. "The Regulatory Framework and Initiatives," Palgrave Macmillan Studies in Banking and Financial Institutions, in: FinTech, BigTech and Banks, chapter 0, pages 83-100, Palgrave Macmillan.
    104. Mollick, Ethan, 2014. "The dynamics of crowdfunding: An exploratory study," Journal of Business Venturing, Elsevier, vol. 29(1), pages 1-16.
    105. Dinger, Valeriya, 2009. "Do foreign-owned banks affect banking system liquidity risk?," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 647-657, December.
    106. Li, Emma & Liao, Li & Wang, Zhengwei & Xiang, Hongyu, 2020. "Venture capital certification and customer response: Evidence from P2P lending platforms," Journal of Corporate Finance, Elsevier, vol. 60(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pham, Dung Thi Ngoc, 2026. "The nonlinear fintech-financial stability nexus in Asia-Pacific and the Middle East: When institutional quality and financial efficiency matter," Research in International Business and Finance, Elsevier, vol. 81(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nigmonov, Asror & Shams, Syed & Alam, Khorshed, 2022. "Macroeconomic determinants of loan defaults: Evidence from the U.S. peer-to-peer lending market," Research in International Business and Finance, Elsevier, vol. 59(C).
    2. Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2020. "Corporate Default Predictions Using Machine Learning: Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-11, August.
    3. Nigmonov, Asror & Shams, Syed & Alam, Khorshed, 2024. "Liquidity risk in FinTech lending: Early impact of the COVID-19 pandemic on the P2P lending market," Emerging Markets Review, Elsevier, vol. 58(C).
    4. Hyeongjun Kim & Hoon Cho & Doojin Ryu, 2022. "Corporate Bankruptcy Prediction Using Machine Learning Methodologies with a Focus on Sequential Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1231-1249, March.
    5. Croux, Christophe & Jagtiani, Julapa & Korivi, Tarunsai & Vulanovic, Milos, 2020. "Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 270-296.
    6. Lohmann, Christian & Möllenhoff, Steffen, 2023. "Dark premonitions: Pre-bankruptcy investor attention and behavior," Journal of Banking & Finance, Elsevier, vol. 151(C).
    7. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya, 2011. "Corporate bond default risk: A 150-year perspective," Journal of Financial Economics, Elsevier, vol. 102(2), pages 233-250.
    8. Anand Deo & Sandeep Juneja, 2021. "Credit Risk: Simple Closed-Form Approximate Maximum Likelihood Estimator," Operations Research, INFORMS, vol. 69(2), pages 361-379, March.
    9. Zhang, Xuan & Ouyang, Ruolan & Liu, Ding & Xu, Liao, 2020. "Determinants of corporate default risk in China: The role of financial constraints," Economic Modelling, Elsevier, vol. 92(C), pages 87-98.
    10. Paulo V. Carvalho & José D. Curto & Rodrigo Primor, 2022. "Macroeconomic determinants of credit risk: Evidence from the Eurozone," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2054-2072, April.
    11. Baumöhl, Eduard & Lyócsa, Štefan & Vašaničová, Petra, 2024. "Macroeconomic environment and the future performance of loans: Evidence from three peer-to-peer platforms," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    12. Anand Deo & Sandeep Juneja, 2019. "Credit Risk: Simple Closed Form Approximate Maximum Likelihood Estimator," Papers 1912.12611, arXiv.org.
    13. Sunaina Kanojia & Anubhav Arora, 2025. "Machine learning for credit risk management through cross-economy evidence in default prediction," SN Business & Economics, Springer, vol. 5(12), pages 1-19, December.
    14. Hernandez Tinoco, Mario & Wilson, Nick, 2013. "Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 394-419.
    15. Alberto Tron & Maurizio Dallocchio & Salvatore Ferri & Federico Colantoni, 2023. "Corporate governance and financial distress: lessons learned from an unconventional approach," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 425-456, June.
    16. Alam, Nurul & Gao, Junbin & Jones, Stewart, 2021. "Corporate failure prediction: An evaluation of deep learning vs discrete hazard models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    17. Filipe, Sara Ferreira & Grammatikos, Theoharry & Michala, Dimitra, 2016. "Forecasting distress in European SME portfolios," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 112-135.
    18. Cathcart, Lara & Dufour, Alfonso & Rossi, Ludovico & Varotto, Simone, 2020. "The differential impact of leverage on the default risk of small and large firms," Journal of Corporate Finance, Elsevier, vol. 60(C).
    19. Löffler, Gunter & Maurer, Alina, 2011. "Incorporating the dynamics of leverage into default prediction," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3351-3361.
    20. Zhang, Xuan & Zhao, Yang & Yao, Xiao, 2022. "Forecasting corporate default risk in China," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1054-1070.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:glofin:v:63:y:2024:i:c:s1044028324001224. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620162 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.