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2023 | OriginalPaper | Chapter

Credit Risk Assessment - A Machine Learning Approach

Authors : Thumpala Archana Acharya, Pedagadi Veda Upasan

Published in: Intelligent Systems and Machine Learning

Publisher: Springer Nature Switzerland

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Abstract

Banks are foregoing their present reserves for future sources of Revenue. This source is associated with a risk called credit default risk which increases defaulting conditions called the Non-performing assets(loans) thus leading to the financial crisis. Machine Learning, a branch of Artificial Intelligence, is the upcoming technology with promising solutions to present limitations of the systems eliminating the human errors or emotions with precision by way of training and testing. The present study is focused on predicting defaulting loans using algorithms of Machine learning. The dataset is preprocessed for dropping the missing values. Further three models - Logistic Regression, KNN and XGBoost are applied for predicting defaulters based on precision, recall and F1-score. The findings of the research concluded that the XGBoost model performed best among the three models for assessment of credit risk which will waive off the crisis situation.

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Literature
3.
4.
go back to reference Chun, S.Y., Lejeune, M.A.: Risk-based loan pricing: portfolio optimization approach with marginal risk contribution. Manage. Sci. 66, 3735–3753 (2020)CrossRef Chun, S.Y., Lejeune, M.A.: Risk-based loan pricing: portfolio optimization approach with marginal risk contribution. Manage. Sci. 66, 3735–3753 (2020)CrossRef
5.
go back to reference Drobyazko, S., Barwinska-Malajowicz, A., Slusarczyk, B., Chubukova, O., Bielialov, T.: Risk management in the system of financial stability of the service enterprise. Journal of Risk and Financial Management 13, 300 (2020)CrossRef Drobyazko, S., Barwinska-Malajowicz, A., Slusarczyk, B., Chubukova, O., Bielialov, T.: Risk management in the system of financial stability of the service enterprise. Journal of Risk and Financial Management 13, 300 (2020)CrossRef
6.
go back to reference Allen, D.E., Luciano, E.: Risk analysis and portfolio modelling. Journal of Risk Financial Management 12, 154 (2019)CrossRef Allen, D.E., Luciano, E.: Risk analysis and portfolio modelling. Journal of Risk Financial Management 12, 154 (2019)CrossRef
8.
go back to reference Wilhelmsson, M., Zhao, J.: Risk assessment of housing market segments: the lender’s perspective. Journal of Risk and Financial Management 11, 69 (2018)CrossRef Wilhelmsson, M., Zhao, J.: Risk assessment of housing market segments: the lender’s perspective. Journal of Risk and Financial Management 11, 69 (2018)CrossRef
9.
go back to reference Giordana, G.A., Schumacher, I.: An empirical study on the impact of basel iii standards on banks’ default risk: the case of luxembourg. Journal of Risk Financial Management 10, 8 (2017)CrossRef Giordana, G.A., Schumacher, I.: An empirical study on the impact of basel iii standards on banks’ default risk: the case of luxembourg. Journal of Risk Financial Management 10, 8 (2017)CrossRef
12.
go back to reference Yoshino, N., Taghizadeh-Hesary, F., Nili, F.: Estimating Dual Deposit Insurance Premium Rates and Forecasting Non-Performing Loans: Two New Models. ADBI Working Paper. No. 510. ADBI: Tokyo (2015) Yoshino, N., Taghizadeh-Hesary, F., Nili, F.: Estimating Dual Deposit Insurance Premium Rates and Forecasting Non-Performing Loans: Two New Models. ADBI Working Paper. No. 510. ADBI: Tokyo (2015)
13.
go back to reference Kwabena, A.B.M.: Credit risk management in financial institutions: a case study of Ghana commercial bank limited. Res. J. Fina. Account 5(23) (2014). www.iiste.org, ISSN 2222–1697 (Paper) ISSN 2222–2847 (Online) Kwabena, A.B.M.: Credit risk management in financial institutions: a case study of Ghana commercial bank limited. Res. J. Fina. Account 5(23) (2014). www.​iiste.​org, ISSN 2222–1697 (Paper) ISSN 2222–2847 (Online) 
14.
go back to reference Orsenigo, C., Vercellis, C.:. Linear versus nonlinear dimensionality reduction for banks’ credit rating prediction. Knowl. Based Syst. 47, 14–22 (2013) Orsenigo, C., Vercellis, C.:. Linear versus nonlinear dimensionality reduction for banks’ credit rating prediction. Knowl. Based Syst. 47, 14–22 (2013)
15.
go back to reference Ravi Kumar, P., Ravi, V.: Bankruptcy prediction in banks and firms via statistical and intelligent techniques–a review. Eur. J. Oper. Res. 180(1), 1–28 (2007)CrossRefMATH Ravi Kumar, P., Ravi, V.: Bankruptcy prediction in banks and firms via statistical and intelligent techniques–a review. Eur. J. Oper. Res. 180(1), 1–28 (2007)CrossRefMATH
16.
go back to reference Maechler, A.M., Srobona, M., Delisle, W.: Decomposing Financial Risks and Vulnerabilities in Eastern Europe. IMF Working Paper. Washington, DC, USA: International Monetary Fund, WP/07/248, pp. 1–33 (2007) Maechler, A.M., Srobona, M., Delisle, W.: Decomposing Financial Risks and Vulnerabilities in Eastern Europe. IMF Working Paper. Washington, DC, USA: International Monetary Fund, WP/07/248, pp. 1–33 (2007)
17.
go back to reference Poon, W.P.H., Firth, M., Fung, H.G.: A multivariate analysis of the determinants of moody’s bank financial strength ratings. J. Int. Finan. Markets. Inst. Money 9, 267–283 (1999)CrossRef Poon, W.P.H., Firth, M., Fung, H.G.: A multivariate analysis of the determinants of moody’s bank financial strength ratings. J. Int. Finan. Markets. Inst. Money 9, 267–283 (1999)CrossRef
30.
go back to reference Zinisha, O.S., Ivanenko, I.N., Avdeeva, R.A.: Artificial Intelligence As A Factor To ˙ Improve Bank Eciency. Indo Am. J. Pharm. Sci. 6(3), 6917–6919 (2019) Zinisha, O.S., Ivanenko, I.N., Avdeeva, R.A.:  Artificial Intelligence As A Factor To ˙ Improve Bank Eciency.  Indo Am. J. Pharm. Sci. 6(3),  6917–6919 (2019)
31.
go back to reference Kaya, O., et al.: Artificial intelligence in banking. Artifi. intell. (2019) Kaya, O., et al.:  Artificial intelligence in banking.  Artifi. intell. (2019)
32.
go back to reference Khailtash, P.L.D.: The Impact AI on Bank's Risk Management Approach. In thesis report submitted to KTH Industrial Engineering and Management (2022) Khailtash, P.L.D.:  The Impact AI on Bank's Risk Management Approach. In thesis report submitted to KTH Industrial Engineering and Management (2022)
Metadata
Title
Credit Risk Assessment - A Machine Learning Approach
Authors
Thumpala Archana Acharya
Pedagadi Veda Upasan
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-35081-8_4

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