Risk Assessment of unsecured loans – example of entering a new market
DOI:
https://doi.org/10.29015/cerem.449Keywords:
unsecured loans, scoring models, risk assessmentAbstract
Objective: The objective of the paper is to show the risk assessment of unsecured loans in theory and practise.
Research Design & Methods: In the first part, the paper makes a literature review with regard to the theory unsecured loans and their risk assessment. In the second part, a case study discusses the risk assessment process as a practical application in the hypothetical case if a Swedish bank enters the German market.
Findings: The risk assessment of unsecured loans is a standardized process there scoring models make a crucial contribution. This case study shows how difficult that process is in the event of cross-border activities, for example, a bank enters a new market in a new country.
Implications & Recommendations: Assessing applicants on a new market is challenging due to the effect of asymmetric information. The problem can be solved by information sharing and by using the experiences from the existing portfolio. Based on that the bank can create an appropriate scorecard.
Contribution & Value Added: The paper contributes to existing literature on risk assessment by applying scoring models to the case of cross-border activities.
Article type: base on in-depth analysis of literature review
References
Abdou, H. A. and Pointon, J. (2011) ‘Credit Scoring, Statistical Techniques and Evaluation Criteria: a Review of the Literature’, Intelligent Systems in Accounting, Finance and Management, 18(2–3), pp. 59–88. doi: 10.1002/isaf.325.
Baesens, B., Van Gestel, T., Viaene, S., Stepanova, M., Suykens, J. and Vanthienen, J. (2003) ‘Benchmarking state-of-the-art classification algorithms for credit scoring’, Journal of the Operational Research Society, 54(6), pp. 627–635. doi: 10.1057/palgrave.jors.2601545.
Banasik, J. and Crook, J. (2007) ‘Reject inference, augmentation, and sample selection’, European Journal of Operational Research, 183(3), pp. 1582–1594. doi: 10.1016/j.ejor.2006.06.072.
Behr, P. and Güttler, A. (2004) Interne und externe Ratings : Bedeutung, Entwicklung, Testverfahren. Bankakademie-Verlag.
Beyer, H., Heinz, L., Krabbe, G. and Lehnhoff, J. (1993) ‘Begriff und Arten des Kredits’, in Das Kreditgeschäft. Wiesbaden: Gabler Verlag, pp. 9–40. doi: 10.1007/978-3-322-99895-8_1.
Bisin, A. and Guaitoli, D. (2004) ‘Moral Hazard and Non-Exclusive Contracts’, RAND Journal of Economics, 35(2), pp. 306–328.
Brown, M. and Zehnder, C. (2007) ‘Credit Reporting , Relationship Banking , and Loan Repayment’, 39(8).
Crone, S. F. and Finlay, S. (2012) ‘Instance sampling in credit scoring: An empirical study of sample size and balancing’, International Journal of Forecasting. Elsevier B.V., 28(1), pp. 224–238. doi: 10.1016/j.ijforecast.2011.07.006.
Crook, J. N., Edelman, D. B. and Thomas, L. C. (2007) ‘Recent developments in consumer credit risk assessment’, European Journal of Operational Research, 183(3), pp. 1447–1465. doi: 10.1016/j.ejor.2006.09.100.
Desai, V. S., Crook, J. N. and Overstreet, G. A. (1996) ‘A comparison of neural networks and linear scoring models in the credit union environment’, European Journal of Operational Research, 95(1), pp. 24–37. doi: 10.1016/0377-2217(95)00246-4.
Dick, C. D., Knobloch, M., Al-Umaray, K. S., Jaroszek, L., Schröder, M. and Tiffe, A. (2012) Studie zu Dispozinsen / Ratenkrediten - Forschungsvorhaben zur Bereitstellung wissenschaftlicher Entscheidungshilfe für das Bundesministerium für Ernährung, Landwirtschaft und Verbraucherschutz (BMELV). doi: http://hdl.handle.net/10419/65418.
Ferretti, F. (2015) Credit Bureaus Between Risk-Management, Creditworthiness Assessment and Prudential Supervision. 2015/20.
Finansinspektionen (2010) Den svenska bolånemarknaden och bankernas kreditgivning. Available at: http://www.fi.se/upload/43_Utredningar/20_Rapporter/2010/bolanerapport_16feb102ny.pdf (Accessed: 2 August 2016).
Finlay, S. (2008) The Management of Consumer Credit. Palgrave Macmillan UK. doi: 10.1057/9780230582507.
Giannetti, C., Jentzsch, N. and Spagnolo, G. (2010) Information sharing and cross-border entry in European banking. 980. Berlin.
Hand, D. J. (2005) ‘Good practice in retail credit scorecard assessment’, Journal of the Operational Research Society, 56(9), pp. 1109–1117. doi: 10.1057/palgrave.jors.2601932.
Hand, D. J. and Henley, W. E. (1997) ‘Statistical Classification Methods in Consumer Credit Scoring: a Review’, Journal of the Royal Statistical Society: Series A (Statistics in Society), 160(3), pp. 523–541. doi: 10.1111/j.1467-985X.1997.00078.x.
Horsch, A. and Schulte, M. (eds) (2010) Wertorientierte Banksteuerung II: Risikomanagement. 4., vollst. Frankfurt am Main: Frankfurt School Verlag.
Jentzsch, N. (2007) ‘Do we need a eurpean directive for credit reporting’, CESifo DICE Report, pp. 48–54.
Knight, F. H. (1964) Risk, Uncertainty and Profit, Reprints of Economic Classics. New York, NY.
Kumar, A., Jones, D. D., Hanna, M. A., Soediono, B. and Bartocci, A. C. (2009) ‘Consumer Credit’, in Intergovernmental Panel on Climate Change (ed.) Encyclopedia of Finance. Boston, MA: Springer US, pp. 66–66. doi: 10.1007/0-387-26336-5_445.
Lessmann, S., Baesens, B., Seow, H. V. and Thomas, L. C. (2015) ‘Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research’, European Journal of Operational Research. Elsevier Ltd., 247(1), pp. 124–136. doi: 10.1016/j.ejor.2015.05.030.
Lewis, M. K., Lundberg, P., Silver, M. S. L., Kling, K. S., Kresge, D. T., Summers, B., Wilson, N., Ekelid, M., Lind, H., Lundström, S., Persson, E. and Marano, W. A. (2000) ‘Risk Assessment and Credit Management’, in Bo Green, Cressy, R., Delmar, F., Eisenberg, T., Howcroft, B., Lewis, M., Schoenmaker, D., Shanteau, J., and Vivian, R. (eds) Risk Behaviour and Risk Management in Business Life. Dordrecht: Springer Netherlands, pp. 37–121. doi: 10.1007/978-94-017-2909-3_2.
Malik, M. and Thomas, L. C. (2010) ‘Modelling credit risk of portfolio of consumer loans’, Journal of the Operational Research Society, 61(3), pp. 411–420. doi: 10.1057/jors.2009.123.
Malthouse, E. C. (1999) ‘Ridge regression and direct marketing scoring models’, Journal of Interactive Marketing, 13(4), pp. 10–23. doi: 10.1002/(SICI)1520-6653(199923)13:4<10::AID-DIR2>3.0.CO;2-3.
Malthouse, E. C. (2001) ‘Assessing the performance of direct marketing scoring models’, Journal of Interactive Marketing, 15(1), pp. 49–62. doi: 10.1002/1520-6653(200124)15.
Mäntysaari, P. (2010) ‘Management of Counterparty Risk’, in The Law of Corporate Finance: General Principles and EU Law. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 187–238. doi: 10.1007/978-3-642-03055-0_6.
Martens, D., Gestel, T. Van, Backer, M. De, Haesen, R., Vanthienen, J. and Baesens, B. (2009) ‘Credit Rating Prediction Using Ant Colony Optimization’, Journal of the Operational Research Society, 61(October 2008), pp. 792–796. doi: 10.1109/ICNC.2007.690.
Pagano, M. and Jappelli, T. (1993) ‘Information Sharing in Credit Markets’, The Journal of Finance, 48(5), pp. 1693–1718. doi: 10.1111/j.1540-6261.1993.tb05125.x.
Schierenbeck, H., Lister, M. and Kirmße, S. (eds) (2008) Ertragsorientiertes Bankmanagement: Band 2. 9., aktual. Wiesbaden: Dr. Th. Gabler/GWV Fachverlage GmbH. doi: 10.1007/978-3-8349-9142-3.
Schröder, M. and Taeger, J. (eds) (2014) Scoring im Fokus: Ökonomische Bedeutung und rechtliche Rahmenbedingungen im internationalen Vergleich. Oldenburg: BIS-Verlag der Carl von Ossietzky Universität Oldenburg.
Sinclair, T. J. (1994) ‘Passing Judgement : Credit Rating Processes as Regulatory Mechanisms of Governance in the Emerging World Order’, Review of International Political Economy, 1(1), pp. 133–159.
Soediono, B. (2001) Risikomanagement, Journal of Chemical Information and Modeling. Edited by U. Götze, K. Henselmann, and B. Mikus. Heidelberg: Physica-Verlag HD (Beiträge zur Unternehmensplanung). doi: 10.1007/978-3-642-57587-7.
Stiglitz, J. E. and Weiss, A. (1981) ‘Credit Rationing in Markets with Imperfect Information’, The American Economic Review, 71(3), pp. 393–410.
Thomas, L. C. (2010) ‘Consumer finance: challenges for operational research’, Journal of the Operational Research Society, 61(1), pp. 41–52. doi: 10.1057/jors.2009.104.
Thomas, L. C., Banasik, J. and Crook, J. N. (2001) ‘Recalibrating scorecards’, Journal of Operational Research Society, 52(9), pp. 981–988.
Thomas, L. C., Oliver, R. W. and Hand, D. J. (2005) ‘A survey of the issues in consumer credit modelling research’, The Journal of the Operational Research Society, 56(9), pp. 1006–1015. doi: 10.1057/palgrave.jors.2602018.
Verbraken, T., Bravo, C., Weber, R. and Baesens, B. (2014) ‘Development and application of consumer credit scoring models using profit-based classification measures’, European Journal of Operational Research. Elsevier B.V., 238(2), pp. 505–513. doi: 10.1016/j.ejor.2014.04.001.
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