Journal articles on the topic 'Prediction of loan default'
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Kohv, Keijo, and Oliver Lukason. "What Best Predicts Corporate Bank Loan Defaults? An Analysis of Three Different Variable Domains." Risks 9, no. 2 (January 25, 2021): 29. http://dx.doi.org/10.3390/risks9020029.
Full textAnand, Mayank, Arun Velu, and Pawan Whig. "Prediction of Loan Behaviour with Machine Learning Models for Secure Banking." Journal of Computer Science and Engineering (JCSE) 3, no. 1 (February 15, 2022): 1–13. http://dx.doi.org/10.36596/jcse.v3i1.237.
Full textLee, Jong Wook, and So Young Sohn. "Evaluating borrowers’ default risk with a spatial probit model reflecting the distance in their relational network." PLOS ONE 16, no. 12 (December 31, 2021): e0261737. http://dx.doi.org/10.1371/journal.pone.0261737.
Full textTuriel, J. D., and T. Aste. "Peer-to-peer loan acceptance and default prediction with artificial intelligence." Royal Society Open Science 7, no. 6 (June 2020): 191649. http://dx.doi.org/10.1098/rsos.191649.
Full textZhu, Qiliang, Wenhao Ding, Mingsen Xiang, Mengzhen Hu, and Ning Zhang. "Loan Default Prediction Based on Convolutional Neural Network and LightGBM." International Journal of Data Warehousing and Mining 19, no. 1 (January 1, 2023): 1–16. http://dx.doi.org/10.4018/ijdwm.315823.
Full textLux, Nicole, and Sotiris Tsolacos. "Loan Characteristics as Predictors of Default in Commercial Mortgage Portfolios." International Journal of Economics and Financial Research, no. 71 (February 17, 2021): 1–4. http://dx.doi.org/10.32861/ijefr.71.1.4.
Full textUlaga Priya, K., S. Pushpa, K. Kalaivani, and A. Sartiha. "Exploratory analysis on prediction of loan privilege for customers using random forest." International Journal of Engineering & Technology 7, no. 2.21 (April 20, 2018): 339. http://dx.doi.org/10.14419/ijet.v7i2.21.12399.
Full textDong, Xingzhe. "Loan Default Prediction based on Machine Learning (LightGBM Model)." BCP Business & Management 25 (August 30, 2022): 457–68. http://dx.doi.org/10.54691/bcpbm.v25i.1857.
Full textLi, Baodong. "Online Loan Default Prediction Model Based on Deep Learning Neural Network." Computational Intelligence and Neuroscience 2022 (August 8, 2022): 1–9. http://dx.doi.org/10.1155/2022/4276253.
Full textSingh, Amrik. "Predicting the Likelihood of Lodging CMBS Loan Default." Cornell Hospitality Quarterly 60, no. 1 (May 29, 2018): 52–68. http://dx.doi.org/10.1177/1938965518777222.
Full textNiu, Beibei, Jinzheng Ren, and Xiaotao Li. "Credit Scoring Using Machine Learning by Combing Social Network Information: Evidence from Peer-to-Peer Lending." Information 10, no. 12 (December 17, 2019): 397. http://dx.doi.org/10.3390/info10120397.
Full textSun, Jia, and Yanrong Jiao. "Enterprise Financial Risk Analysis Based on Improved Model C-Means Clustering Algorithm." Security and Communication Networks 2022 (July 12, 2022): 1–12. http://dx.doi.org/10.1155/2022/1109813.
Full textFoster, Benjamin P., Terry J. Ward, and Jon Woodroof. "An Analysis of the Usefulness of Debt Defaults and Going Concern Opinions in Bankruptcy Risk Assessment." Journal of Accounting, Auditing & Finance 13, no. 3 (July 1998): 351–71. http://dx.doi.org/10.1177/0148558x9801300311.
Full textWang, Qiuying. "Research on the Method of Predicting Consumer Financial Loan Default Based on the Big Data Model." Wireless Communications and Mobile Computing 2022 (March 24, 2022): 1–9. http://dx.doi.org/10.1155/2022/3786707.
Full textKou, Gang, Yi Peng, and Chen Lu. "MCDM APPROACH TO EVALUATING BANK LOAN DEFAULT MODELS." Technological and Economic Development of Economy 20, no. 2 (June 27, 2014): 292–311. http://dx.doi.org/10.3846/20294913.2014.913275.
Full textLee, Jei Young. "Prediction of Default Risk in Peer-to-Peer Lending Using Structured and Unstructured Data." Journal of Financial Counseling and Planning 31, no. 1 (March 16, 2020): 115–29. http://dx.doi.org/10.1891/jfcp-18-00073.
Full textMuslim, Much Aziz, Yosza Dasril, Muhammad Sam'an, and Yahya Nur Ifriza. "An improved light gradient boosting machine algorithm based on swarm algorithms for predicting loan default of peer-to-peer lending." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 2 (November 1, 2022): 1002. http://dx.doi.org/10.11591/ijeecs.v28.i2.pp1002-1011.
Full textShinde, Anant, Yash Patil, Ishan Kotian, Abhinav Shinde, and Reshma Gulwani. "Loan Prediction System Using Machine Learning." ITM Web of Conferences 44 (2022): 03019. http://dx.doi.org/10.1051/itmconf/20224403019.
Full textQu, Yanzhen, and Ihsan Said. "Improving the Performance of Loan Risk Prediction based on Machine Learning via Applying Deep Neural Networks." European Journal of Electrical Engineering and Computer Science 7, no. 1 (January 23, 2023): 31–37. http://dx.doi.org/10.24018/ejece.2023.7.1.475.
Full textAslam, Uzair, Hafiz Ilyas Tariq Aziz, Asim Sohail, and Nowshath Kadhar Batcha. "An Empirical Study on Loan Default Prediction Models." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3483–88. http://dx.doi.org/10.1166/jctn.2019.8312.
Full textHong, Zhaoyang, Wenxuan Deng, and Xiuyu Gong. "Prediction of Car Loan Default Results Based on Multi Model Fusion." Frontiers in Business, Economics and Management 5, no. 1 (September 8, 2022): 142–49. http://dx.doi.org/10.54097/fbem.v5i1.1515.
Full textNemade, Suyog. "Loan Repayment Ability Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (July 31, 2022): 4875–82. http://dx.doi.org/10.22214/ijraset.2022.45683.
Full textChong, Pei Swee, Jane Labadin, and Farid Meziane. "Credit Risk Prediction for Peer-To-Peer Lending Platforms: An Explainable Machine Learning Approach." Journal of Computing and Social Informatics 1, no. 2 (September 19, 2022): 1–16. http://dx.doi.org/10.33736/jcsi.4761.2022.
Full textKhedr, Mohamed H., Nesrine A. Azim, and Ammar M. Ammar. "A New Prediction Approach for Preventing Default Customers from Applying Personal Loans Using Machine Learning." International Journal of Computer Science and Mobile Computing 10, no. 12 (December 30, 2021): 71–82. http://dx.doi.org/10.47760/ijcsmc.2021.v10i12.009.
Full textAgbemava, Edinam, Israel Kofi Nyarko, Thomas Clarkson Adade, and Albert K. Bediako. "Logistic Regression Analysis Of Predictors Of Loan Defaults By Customers Of Non-Traditional Banks In Ghana." European Scientific Journal, ESJ 12, no. 1 (January 29, 2016): 175. http://dx.doi.org/10.19044/esj.2016.v12n1p175.
Full textNureni, Azeez A., and O. E. Adekola. "LOAN APPROVAL PREDICTION BASED ON MACHINE LEARNING APPROACH." FUDMA JOURNAL OF SCIENCES 6, no. 3 (June 24, 2022): 41–50. http://dx.doi.org/10.33003/fjs-2022-0603-830.
Full textMatenda, Frank Ranganai, and Mabutho Sibanda. "Determinants of Default Probability for Audited and Unaudited SMEs Under Stressed Conditions in Zimbabwe." Economies 10, no. 11 (November 4, 2022): 274. http://dx.doi.org/10.3390/economies10110274.
Full textLi, Xingyun, Daji Ergu, Di Zhang, Dafeng Qiu, Ying Cai, and Bo Ma. "Prediction of loan default based on multi-model fusion." Procedia Computer Science 199 (2022): 757–64. http://dx.doi.org/10.1016/j.procs.2022.01.094.
Full textEweoya, I. O., A. A. Adebiyi, A. A. Azeta, and Olufunmilola Amosu. "Fraud prediction in loan default using support vector machine." Journal of Physics: Conference Series 1299 (August 2019): 012039. http://dx.doi.org/10.1088/1742-6596/1299/1/012039.
Full textAl-qerem, Ahmad, Ghazi Al-Naymat, Mays Alhasan, and Mutaz Al-Debei. "Default Prediction Model: The Significant Role of Data Engineering in the Quality of Outcomes." International Arab Journal of Information Technology 17, no. 4A (July 31, 2020): 635–44. http://dx.doi.org/10.34028/iajit/17/4a/8.
Full textAttigeri, Girija, Manohara Pai M M, and Radhika M. Pai. "Framework to predict NPA/Willful defaults in corporate loans: a big data approach." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (October 1, 2019): 3786. http://dx.doi.org/10.11591/ijece.v9i5.pp3786-3797.
Full textTariq, Hafiz Ilyas, Asim Sohail, Uzair Aslam, and Nowshath Kadhar Batcha. "Loan Default Prediction Model Using Sample, Explore, Modify, Model, and Assess (SEMMA)." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3489–503. http://dx.doi.org/10.1166/jctn.2019.8313.
Full textZurada, Jozef, and Martin Zurada. "How Secure Are Good Loans: Validating Loan-Granting Decisions And Predicting Default Rates On Consumer Loans." Review of Business Information Systems (RBIS) 6, no. 3 (July 1, 2002): 65–84. http://dx.doi.org/10.19030/rbis.v6i3.4563.
Full textKrichene, Aida. "Using a naive Bayesian classifier methodology for loan risk assessment." Journal of Economics, Finance and Administrative Science 22, no. 42 (June 12, 2017): 3–24. http://dx.doi.org/10.1108/jefas-02-2017-0039.
Full textYing, Li. "Research on bank credit default prediction based on data mining algorithm." International Journal of Social Sciences and Humanities Invention 5, no. 6 (June 28, 2018): 4820–23. http://dx.doi.org/10.18535/ijsshi/v5i6.09.
Full text陈, 旭岚. "Corporate Loan Default Risk Prediction Based on Machine Learning Method." Modeling and Simulation 10, no. 03 (2021): 890–97. http://dx.doi.org/10.12677/mos.2021.103088.
Full textEweoya, I. O., A. A. Adebiyi, A. A. Azeta, F. Chidozie, F. O. Agono, and B. Guembe. "A Naive Bayes approach to fraud prediction in loan default." Journal of Physics: Conference Series 1299 (August 2019): 012038. http://dx.doi.org/10.1088/1742-6596/1299/1/012038.
Full textAlejandrino, Jovanne C., Jovito Jr P. Bolacoy, and John Vianne Bauya Murcia. "Supervised and unsupervised data mining approaches in loan default prediction." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (April 1, 2023): 1837. http://dx.doi.org/10.11591/ijece.v13i2.pp1837-1847.
Full textNguyen, Cuong, and Liang Chen. "Comparing Data Mining Models in Loan Default Prediction: A Framework and a Demonstration." Journal of Information Technology and Computer Science 7, no. 1 (April 7, 2022): 1–8. http://dx.doi.org/10.25126/jitecs.202271352.
Full textLiao, Jingxian, Wei Wang, Jason Xue, Anthony Lei, Xue Han, and Kun Lu. "Combating Sampling Bias: A Self-Training Method in Credit Risk Models." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (June 28, 2022): 12566–72. http://dx.doi.org/10.1609/aaai.v36i11.21528.
Full textChen, Herui. "Prediction and Analysis of Financial Default Loan Behavior Based on Machine Learning Model." Computational Intelligence and Neuroscience 2022 (September 20, 2022): 1–10. http://dx.doi.org/10.1155/2022/7907210.
Full textMatenda, Frank Ranganai, Mabutho Sibanda, Eriyoti Chikodza, and Victor Gumbo. "Corporate Loan Recovery Rates under Downturn Conditions in a Developing Economy: Evidence from Zimbabwe." Risks 10, no. 10 (October 17, 2022): 198. http://dx.doi.org/10.3390/risks10100198.
Full textGanbat, Mandukhai, Erdenebileg Batbaatar, Ganzul Bazarragchaa, Togtuunaa Ider, Enkhjargalan Gantumur, Lkhamsuren Dashkhorol, Khosgarig Altantsatsralt, Mandakhbayar Nemekh, Erdenebaatar Dashdondog, and Oyun-Erdene Namsrai. "Effect of Psychological Factors on Credit Risk: A Case Study of the Microlending Service in Mongolia." Behavioral Sciences 11, no. 4 (April 5, 2021): 47. http://dx.doi.org/10.3390/bs11040047.
Full textNetzer, Oded, Alain Lemaire, and Michal Herzenstein. "When Words Sweat: Identifying Signals for Loan Default in the Text of Loan Applications." Journal of Marketing Research 56, no. 6 (August 15, 2019): 960–80. http://dx.doi.org/10.1177/0022243719852959.
Full textMadaan, Mehul, Aniket Kumar, Chirag Keshri, Rachna Jain, and Preeti Nagrath. "Loan default prediction using decision trees and random forest: A comparative study." IOP Conference Series: Materials Science and Engineering 1022 (January 19, 2021): 012042. http://dx.doi.org/10.1088/1757-899x/1022/1/012042.
Full textAdewusi, Amos Olaolu, Tunbosun Biodun Oyedokun, and Mustapha Oyewole Bello. "Application of artificial neural network to loan recovery prediction." International Journal of Housing Markets and Analysis 9, no. 2 (June 6, 2016): 222–38. http://dx.doi.org/10.1108/ijhma-01-2015-0003.
Full textM.I., Omogbhemhe, and Momodu I.B.A. "Model for Predicting Bank Loan Default using XGBoost." International Journal of Computer Applications 183, no. 32 (October 16, 2021): 1–4. http://dx.doi.org/10.5120/ijca2021921705.
Full textAslam, Mohammad, Senthil Kumar, and Shahryar Sorooshian. "Predicting Likelihood for Loan Default Among Bank Borrowers." International Journal of Financial Research 11, no. 1 (October 10, 2019): 318. http://dx.doi.org/10.5430/ijfr.v11n1p318.
Full textChoudhary, Ali M., and Anil K. Jain. "Corporate stress and bank nonperforming loans: Evidence from Pakistan." International Finance Discussion Paper 2021, no. 1327 (August 20, 2021): 1–32. http://dx.doi.org/10.17016/ifdp.2021.1327.
Full textBaklouti, Ibtissem. "On the role of loan officers’ psychological traits in predicting microcredit default accuracy." Qualitative Research in Financial Markets 7, no. 3 (August 3, 2015): 264–89. http://dx.doi.org/10.1108/qrfm-04-2014-0011.
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