Credit Risk Measurement with Wrong Way Risk
Abstract
I will start with introducing the corporate bond and several important components of it. The existing credit risk model can be categorized into two groups — Structural (Firm Value) Model and Reduced-form (Intensity-based) Models, followed by the risk measure and the risk measure—Value at Risk and its computation. Then I applied the previously introduced material to the given portfolio to calculate its credit VaR using two methods, S-critical and the Monte Carlo simulation. Finally, I present some advanced credit risk models with stochastic interest rate.
Keywords
Full Text:
PDFReferences
Armstrong, J. (2015). Numerical and Computational Methods in Finance. Computational and Numerical Methods for Mathematical Finance MATLAB programming and numerical methods for KCL MSc students. King’s College London Link.
Basurto, M. S., & Singh, M. (2008). Counterparty Risk in the Over-the-Counter Derivatives Market, November. IMF Working Papers, 1–19, Available at SSRN: http://ssrn.com/abstract¼1316726.
Bielecki, T. R., & Jeanblanc, M. (2004). Indifference Pricing of Defaultable Claims. In Indifference pricing, Theory and Applications, Financial Engineering. Princeton University Press.
Bielecki, T. R., & Rutkowski, M. (2002). Credit risk: Modeling, valuation and hedging. Springer-Verlag, Berlin Heidelberg New York.
Bielecki, T. R., & Rutkowski, M. (2004). Credit Risk: Modeling, Valuation and Hedging. Berlin: Springer-Verlag..
Breccia, A. (2012). Default Risk in Mertons Model. http://www.bbk.ac.uk/ems/forstudents/mscfinEng/pricingemms014p/ab8.pdf
Briys, E. and de Varenne, F. (1997). Valuing risky fixed rate debt: An extension. Journal of Financial and Quantitative Analysis, 32, 239-248.
Cox, J., Ingersoll, J., Jr., & Ross, S. (1985). A theory of the term structure of interest rates. Econometrica, 53(2), Mach, 385-407.
Crouhy, M., Galai, D., & Mark, R. (2000). A Comparative Analysis of Current Credit Risk Models. Journal of Banking & Finance, 24, 59-117.
Gueant, O. (2012). Computing the value at risk of a portfolio: Academic literature and practionners’response. EMMA, Working Paper.
Haugh, M. (2004). The Monte Carlo Framework, Examples from Finance and Generating Correlated Random Variables. In Monte Carlo Simulation Course Notes (IEOR, 2004).
Haugh, M. (2010). Continuous-Time Short Rate Models. Financial Engineering: Continuous-Time Models
Haugh, M. (2010). Risk Measures, Risk Aggregation and Capital Allocation. IEOR E4602. Quantitative Risk Management.
Hazewinkel, & Michiel. (2001). Central Limit Theorem. In The Concise Encyclopedia of Statistics (pp 66-68).
Hull, J. (1993). Options, Forward Contracts, Swaps and Other Derivatives Securities. Prentice Hall.
Jarrow, R. A., & van Deventer, D., & Wang, X. (2003). A robust test of Merton’s structural model for credit risk. J. Risk, 6, 39-58.
Johnson, H., & Stulz, R. (1987). The pricing of options with default risk. The Journal of Finance, 42(2), 267–280
Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk. McGraw Hill.
Kim, I.J., Ramaswamy, K.V., & Sundaresan, S. (1993). Does Default Risk in Coupons Affect the Valuation of Corporate Bonds?: A Contingent Claims Model. Financial Management, 22, 117-131. DOI:10.2307/3665932
Kondapaneni, R. (2005). A study of the Delta Normal Method of Measuring VaR. Worcester Polytechnic Institute. INTERNET. https://digitalcommons.wpi.edu/etdtheses/793/ [Accessed 10 November 2019].
Kyng, T. J., & Konstandatos, O. (2014). Multivariate Monte-Carlo Simulation and Economic Valuation of Complex Financial Contracts: An Excel-Based Implementation. Spreadsheets in Education, 7 (2). Retrieved from http://epublications.bond.edu.au/ejsie/vol7/iss2/5/
Li, D. X. (1999). On Default Correlation: A Copula Function Approach. The Journal of Fixed Income, 9(4), 43-54.
Mcneil, A. J., Frey, R., & Embrechts, P. (2005). Quantitative Risk Management: Concepts, Techniques, and Tools. Princeton University Press.
Nielsen, L. T. (1992). Understanding N(d1) and N(d2): Risk–Adjusted Probabilities in Black–Scholes Models.
Nielsen, L.T. (1992). Understanding N(d1) and N(d2): Risk-Adjusted Probabilities in the Black-Scholes Model. INSEAD. Available online: https://financetrainingcourse.com/education/wp-content/uploads/2011/03/Understanding.pdf (accessed on 7 May 2021).
Rachev, S. (2009). Credit Risk: Intensity Based Model. Institute for Statistics and Mathematical Economics. University of Karlsruhe and Karlsruhe Institute of Technology (KIT).
Schoutens, W., & Cariboni J. (2009). Levy Processes in Credit Risk. Wiley.
Segoviano, M. A., & Singh, M. (2008). Counterparty.
Weisstein, E. W. (2004). Taylor Series. Mathworld. http://mathworld.wolfram.com/TaylorSeries.html
Zeytun, S., & Gupta, A. (2001). A Comparative Study of the Vasicek and the CIR Model of the Short Rate. Fraunhofer-Institut für Techno- und Wirtschaftsmathematik, Available at: www.itwm.fraunhofer.de/zentral/download/berichte/bericht124.pdf.
DOI: http://dx.doi.org/10.3968/13141
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 Higher Education of Social Science
This work is licensed under a Creative Commons Attribution 4.0 International License.
Reminder
- How to do online submission to another Journal?
- If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:
1. Register yourself in Journal B as an Author
- Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.
2. Submission
- Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.
We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
[email protected]; [email protected]; [email protected]
Articles published in Higher Education of Social Science are licensed under Creative Commons Attribution 4.0 (CC-BY).
HIGHER EDUCATION OF SOCIAL SCIENCE Editorial Office
Address: 1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.
Telephone: 1-514-558 6138
Website: Http://www.cscanada.net Http://www.cscanada.org
E-mail: [email protected]; [email protected]
Copyright © 2010 Canadian Research & Development Center of Sciences and Cultures