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Predictably Unequal? The Effects of Machine Learning on Credit Markets

Citations

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Cited by:

  1. Will Dobbie & Andres Liberman & Daniel Paravisini & Vikram Pathania, 2021. "Measuring Bias in Consumer Lending [Loan Prospecting and the Loss of Soft Information]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 2799-2832.
  2. Bianchi, Milo & Bouvard, Matthieu & Gomes, Renato & Rhodes, Andrew & Shreeti, Vatsala, 2023. "Mobile payments and interoperability: Insights from the academic literature," Information Economics and Policy, Elsevier, vol. 65(C).
  3. Christophe Hurlin & Christophe Perignon & Sébastien Saurin, 2021. "The Fairness of Credit Scoring Models," Working Papers hal-03501452, HAL.
  4. Sanroman Graciela & Bertoletti Lucía & Borraz Fernando, 2024. "Consumer Debt and Poverty: the Default Risk Gap," Asociación Argentina de Economía Política: Working Papers 4765, Asociación Argentina de Economía Política.
  5. Nikita Kozodoi & Johannes Jacob & Stefan Lessmann, 2021. "Fairness in Credit Scoring: Assessment, Implementation and Profit Implications," Papers 2103.01907, arXiv.org, revised Jun 2022.
  6. Kim Long Tran & Hoang Anh Le & Thanh Hien Nguyen & Duc Trung Nguyen, 2022. "Explainable Machine Learning for Financial Distress Prediction: Evidence from Vietnam," Data, MDPI, vol. 7(11), pages 1-12, November.
  7. Andrés Alonso & José Manuel Carbó, 2022. "Accuracy of explanations of machine learning models for credit decisions," Working Papers 2222, Banco de España.
  8. Jia, Xiaoran, 2024. "FinTech penetration, charter value, and bank risk-taking," Journal of Banking & Finance, Elsevier, vol. 161(C).
  9. Agarwal, Shivam & Muckley, Cal B. & Neelakantan, Parvati, 2023. "Countering racial discrimination in algorithmic lending: A case for model-agnostic interpretation methods," Economics Letters, Elsevier, vol. 226(C).
  10. Andreas Joseph, 2019. "From interpretability to inference: an estimation framework for universal approximators," Papers 1903.04209, arXiv.org, revised Dec 2024.
  11. Douglas Kiarelly Godoy de Araujo, 2023. "gingado: a machine learning library focused on economics and finance," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: applications and tools, volume 59, Bank for International Settlements.
  12. Dainelli, Francesco & Bet, Gianmarco & Fabrizi, Eugenio, 2024. "The financial health of a company and the risk of its default: Back to the future," International Review of Financial Analysis, Elsevier, vol. 95(PB).
  13. Andreas Fuster & Matthew Plosser & Philipp Schnabl & James Vickery, 2019. "The Role of Technology in Mortgage Lending," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1854-1899.
  14. Xie, Xueyan & Zhu, Xiaoyang, 2022. "FinTech and capital allocation efficiency: Another equity-efficiency dilemma?," Global Finance Journal, Elsevier, vol. 53(C).
  15. Mathieu Aubry & Roman Kräussl & Gustavo Manso & Christophe Spaenjers, 2023. "Biased Auctioneers," Journal of Finance, American Finance Association, vol. 78(2), pages 795-833, April.
  16. Beck, Thorsten & Gambacorta, Leonardo & Huang, Yiping & Li, Zhenhua & Qiu, Han, 2022. "Big techs, QR code payments and financial inclusion," CEPR Discussion Papers 17297, C.E.P.R. Discussion Papers.
  17. Christa N. Gibbs & Benedict Guttman-Kenney & Donghoon Lee & Scott Nelson & Wilbert Van der Klaauw & Jialan Wang, 2024. "Consumer Credit Reporting Data," Staff Reports 1114, Federal Reserve Bank of New York.
  18. Zhang, Xiaoyan & Li, Jinbao & Xiang, Dong & Worthington, Andrew C., 2023. "Digitalization, financial inclusion, and small and medium-sized enterprise financing: Evidence from China," Economic Modelling, Elsevier, vol. 126(C).
  19. Koefer, Franziska & Lemken, Ivo & Pauls, Jan, 2023. "Fairness in algorithmic decision systems: A microfinance perspective," EIF Working Paper Series 2023/88, European Investment Fund (EIF).
  20. Pelin Berkmen & Ms. Kimberly Beaton & Mr. Dmitry Gershenson & Mr. Javier Arze del Granado & Kotaro Ishi & Miss Marie S Kim & Emanuel Kopp & Mrs. Marina V Rousset, 2019. "Fintech in Latin America and the Caribbean: Stocktaking," IMF Working Papers 2019/071, International Monetary Fund.
  21. Liu, Shiang & Yang, Changyu, 2024. "The role of FinTech lenders in mortgage market: Evidence from corporate relocations," Finance Research Letters, Elsevier, vol. 63(C).
  22. Andres Liberman & Christopher A. Neilson & Luis Opazo & Seth Zimmerman, 2019. "Equilibrium Effects of Asymmetric Information on Consumer Credit Markets," Working Papers 2019-7, Princeton University. Economics Department..
  23. Kozodoi, Nikita & Jacob, Johannes & Lessmann, Stefan, 2022. "Fairness in credit scoring: Assessment, implementation and profit implications," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1083-1094.
  24. Christopher Cassion & Yuhang Qian & Constant Bossou & Margareta Ackerman, 2021. "Investors Embrace Gender Diversity, Not Female CEOs: The Role of Gender in Startup Fundraising," Papers 2101.12008, arXiv.org.
  25. Curcio, Domenico & D’Amico, Simona & Gianfrancesco, Igor & Vioto, Davide, 2024. "Understanding the impact of the financial technology revolution on systemic risk: Evidence from US and EU diversified financials," Research in International Business and Finance, Elsevier, vol. 69(C).
  26. Natee Amornsiripanitch, 2023. "The Age Gap in Mortgage Access," Working Papers 23-03, Federal Reserve Bank of Philadelphia.
  27. Victor Duarte & Diogo Duarte & Dejanir H. Silva, 2024. "Machine Learning for Continuous-Time Finance," CESifo Working Paper Series 10909, CESifo.
  28. Martin Eling & Irina Gemmo & Danjela Guxha & Hato Schmeiser, 2024. "Big data, risk classification, and privacy in insurance markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 75-126, March.
  29. Li, Huan & Wu, Weixing, 2024. "Loan default predictability with explainable machine learning," Finance Research Letters, Elsevier, vol. 60(C).
  30. Disa M. Hynsjö & Luca Perdoni, 2024. "Mapping Out Institutional Discrimination: The Economic Effects of Federal “Redlining”," CESifo Working Paper Series 11098, CESifo.
  31. D'Acunto, Francesco & Ghosh, Pulak & Jain, Rajiv & Rossi, Alberto G., 2022. "How costly are cultural biases?," LawFin Working Paper Series 34, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
  32. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  33. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
  34. Bracke, Philippe & Datta, Anupam & Jung, Carsten & Sen, Shayak, 2019. "Machine learning explainability in finance: an application to default risk analysis," Bank of England working papers 816, Bank of England.
  35. Lydia T. Liu & Ashia Wilson & Nika Haghtalab & Adam Tauman Kalai & Christian Borgs & Jennifer Chayes, 2019. "The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally," Papers 1910.04123, arXiv.org.
  36. Zhao, Xiaoyang & Weng, Zongyuan, 2024. "Digital dividend or divide: The digital economy and urban entrepreneurial activity," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
  37. Fleck, Johannes & Monninger, Adrian, 2020. "Culture and portfolios: trust, precautionary savings and home ownership," Working Paper Series 2457, European Central Bank.
  38. Claudio Daminato & Massimo Filippini & Fabio Haufler, 2024. "Digitalization and Retirement Contribution Behavior: Evidence from Administrative Data," The Review of Financial Studies, Society for Financial Studies, vol. 37(8), pages 2510-2549.
  39. Joseph, Andreas, 2019. "Parametric inference with universal function approximators," Bank of England working papers 784, Bank of England, revised 22 Jul 2020.
  40. Tobias Berg & Valentin Burg & Ana Gombović & Manju Puri, 2020. "On the Rise of FinTechs: Credit Scoring Using Digital Footprints," The Review of Financial Studies, Society for Financial Studies, vol. 33(7), pages 2845-2897.
  41. Alonso-Robisco, Andrés & Carbó, José Manuel, 2022. "Can machine learning models save capital for banks? Evidence from a Spanish credit portfolio," International Review of Financial Analysis, Elsevier, vol. 84(C).
  42. Shuaiyu Chen & T. Clifton Green & Huseyin Gulen & Dexin Zhou, 2024. "What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts," Papers 2409.11540, arXiv.org.
  43. Anastasia Cozarenco & Ariane Szafarz, 2024. "How to identify lending bias when the lender's goal is not profit?," Working Papers CEB 24-007, ULB -- Universite Libre de Bruxelles.
  44. Andres Liberman & Christopher Neilson & Luis Opazo & Seth Zimmerman, 2018. "The Equilibrium Effects of Information Deletion: Evidence from Consumer Credit Markets," NBER Working Papers 25097, National Bureau of Economic Research, Inc.
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