Applications of the KMV model to assess the default risk in the firm, a A case study of a sample of firms listed in the Abu Dhabi Securities Exchange for the period (2018-2019)
Abstract
This study aims to discuss the effectiveness of the KMV model in helping to assess and predict the default risk. To this end, the structural models and the conditions for their identification were shed light on, as well as the various theoretical frameworks of the KMV model and its methodology for measuring the default risk, as well as the steps for its application. Where it was applied to a sample of companies listed on the Abu Dhabi Securities Market. To achieve the goal of the study, the descriptive method was used to gain familiarity with the various aspects of the research. The study concluded that the KMV model is one of the most important models available to assess the default risk, and the ease of this model enables institutions and banks to standardize credit risks and help them to take the necessary and appropriate measures in the event of default.
Downloads
References
Alexandros, B., & George, P. (2007). Extending the Merton Model: A hybrid approach to assessing credit quality, Mathematical and Computer Modelling . 46(2), Pages. 47–68.
Crouhy, M., Galai, D., & Mark, R. (2006). The Essentials of Risk Management. The McGraw-Hill Companies Inc. he McGraw-Hill Companies Inc. P :278
Derbalia, A., & Hallara, S. (2012). THE CURENT MODELS OF CREDIT PORTFOLIO MANAGELENT: A COMPATIVE THEORITICAL ANALYSIS. 04(02), p. 184.
Gianpaolo , I., & Adolfo , F. (2012). Credit risk analysis and the KMV Black and Scholes model: a proposal of correction and an empirical analys. Volume 9( Issue 2), p. 169.
Huang, J. and Huang, M. (2003). “How much of the corporate-Treasury yield spread is due to credit risk”, Working paper, Penn State University.
Kuang , H. (2012). Expected Default Measures in the KMV model and the Market-based model: Empirical evidence from Chinese listed companie (éd. School of Economics and Management Department of Economics, Vol. Master Essay II – Finance Programme). P :04.
london: LUND UNIVERSITY. P :04.Leland, H.E., Toft, K.B. (1996). Optimal capital structure, endogenous bankruptcy, and the term structure of credit spreads. J. Finance 51,Pages 987–1019.
Francis A. Longstaff. Eduardo S. Schwartz(2001). Valuing American Options by Simulation: A Simple Least-Squares Approach. The Review of Financial Studies, Volume 14, Issue 1, Pages 113–147
Peter, C. (2003). MODELING METHODOLOGY. Moody’s KMV Company. P : 10-15
Sreedhar, B., & Tyler, S. (2004). Forecasting Default with the KMV-Merton Model. University of Michigan. P :04
Tomasz , Z. (2012). MERTON’S AND KMV MODELS IN CREDIT RISK MANAGEMENT. p. 124.
Yuqian, L. (2008). Default Forecasting in KMV (éd. Oriel Collegen University of Oxford). Dissertation for MSc Mathematical and Computational Finance.
Zfika , A., Ohad, A., & Koresh , G. (2012). Using Merton model: an empirical assessment of alternatives. Department of Economics: Ben-Gurion University of the Negev.
بن سليم محسن، تطبيقات نموذج ميرتو للكشف عن مخاطر التعثر المالي في المؤسسة الاقتصادية، مجلة الواحات للبحوث والدراسات المجلد 09 العدد02، ص07.
زبيري, ن., & بلعجوز , ح. (2017). النماذج الرياضية لقياس مخاطر الإئتمان بالبنوك. مجلة دراسات العدد الاقتصادي, المجلد 08 العدد02، ص:112.
قندوز، ص:12. , ع. (2020). المخاطر المصرفية وأساليب قياسها (éd. صندوق النقد العربي). الكويت: صندوق النقد العربي.
Copyright (c) 2022 Mohsen Benslim
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.