Post Global Financial Crisis Modelling: Credit Risk For Firms That Are Too Big To Fail

Clark, E., Mitra, S. and Jokung, O. 2019. Post Global Financial Crisis Modelling: Credit Risk For Firms That Are Too Big To Fail. International Journal of Financial Markets and Derivatives. 7 (1), pp. 15-39. https://doi.org/10.1504/IJFMD.2019.101235

TitlePost Global Financial Crisis Modelling: Credit Risk For Firms That Are Too Big To Fail
TypeJournal article
AuthorsClark, E., Mitra, S. and Jokung, O.
Abstract

The global financial crisis has brought in question the validity of credit risk models. The firms that are 'too big to fail' are frequently discussed in the media, and continue to borrow rather than defaulting. In this paper we propose a new credit risk model for firms that are too big to fail. We propose a structural model of credit risk but model credit risk as a real option. We derive a closed form solution for the option to default and take into account the borrowing practices of systemically important firms. We develop our model to take into account economic factors using regime switching, and derive an option pricing solution under such a process. Finally, we obtain solutions for hedging the option to default, for markets where incompleteness exists for such options. We conduct numerical experiments to calculate the option to default at different debt values and volatility.

JournalInternational Journal of Financial Markets and Derivatives
Journal citation7 (1), pp. 15-39
ISSN1756-7130
1756-7149
Year2019
PublisherInderscience Publishers
Accepted author manuscript
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1504/IJFMD.2019.101235
Publication dates
Published25 Jul 2019

Related outputs

Catastrophe Bond Pricing In The Primary Market: The Issuer Effect And Pricing Factors
Chatoro, M, Mitra, S., Pantelous, A.A. and Shao, J. 2023. Catastrophe Bond Pricing In The Primary Market: The Issuer Effect And Pricing Factors. International Review of Financial Analysis. 85 102431. https://doi.org/10.1016/j.irfa.2022.102431

A Real Options Approach To Measuring Freedom In Sen’s Capabilities Approach
Mitra, S. 2022. A Real Options Approach To Measuring Freedom In Sen’s Capabilities Approach. International Journal of Sustainable Economy. 14 (1), pp. 98-110. https://doi.org/10.1504/IJSE.2022.119716

Optimal Feedback Control of Stock Prices Under Credit Risk Dynamics
Mitra, S., Jinghai Shao and Karathanasopoulos, Andreas 2022. Optimal Feedback Control of Stock Prices Under Credit Risk Dynamics. Annals of Operations Research. 313, pp. 1285-1318. https://doi.org/10.1007/s10479-021-04002-6

Keynesian Resurgence: Financial Stimulus And Contingent Claims Modelling
Clark, E., Mitra, S. and Jokung, O. 2020. Keynesian Resurgence: Financial Stimulus And Contingent Claims Modelling. International Journal of Mathematics in Operational Research. 17 (2), pp. 199-232. https://doi.org/10.1504/IJMOR.2020.109701

Downside risk measurement in regime switching stochastic volatility
Mitra, S. 2020. Downside risk measurement in regime switching stochastic volatility. Journal of Computational and Applied Mathematics. 378 112845. https://doi.org/10.1016/j.cam.2020.112845

Health Care Investment: The Case of Multiple Sources of Risk
Jokung, O. and Mitra, S. 2020. Health Care Investment: The Case of Multiple Sources of Risk. Asia-Pacific Financial Markets. 27, pp. 231-255. https://doi.org/10.1007/s10690-019-09291-3

An analysis of dollar cost averaging and market timing investment strategies
Lars Kirkby, J., Mitra, S. and Nguyen, D. 2020. An analysis of dollar cost averaging and market timing investment strategies. European Journal of Operational Research. 286 (3), pp. 1168-1186. https://doi.org/10.1016/j.ejor.2020.04.055

FinTech revolution: the impact of management information systems upon relative firm value and risk
Mitra, S. and Karathanasopoulos, A. 2020. FinTech revolution: the impact of management information systems upon relative firm value and risk. Journal of Banking and Financial Technology. 4, p. 175–187. https://doi.org/10.1007/s42786-020-00023-0

Ensemble Models in Forecasting Financial Markets
Karathanasopoulos, A., Mitra, S., Lo, C.C., Zaremba, A. and Osman, M. 2019. Ensemble Models in Forecasting Financial Markets. Journal of Computational Finance. 23 (3), pp. 101-119. https://doi.org/10.21314/JCF.2019.374

Big Data And PAC Learning In The Presence Of Noise: Implications For Financial Risk Management
Chinthalapati, V.L.R., Mitra, S. and Serguieva, A. 2019. Big Data And PAC Learning In The Presence Of Noise: Implications For Financial Risk Management. International Journal of Artificial Intelligence. 17 (1), pp. 34-56.

Risk lovers, mixed risk loving and the preference to combine good with good
Jokung, O. and Mitra, S. 2019. Risk lovers, mixed risk loving and the preference to combine good with good. International Journal of Management and Applied Science. 11 (4), pp. 295-313.

Political Risk Modelling and Measurement From Stochastic Volatility Models
Mitra, S. 2019. Political Risk Modelling and Measurement From Stochastic Volatility Models. International Journal of Sustainable Economy. 11 (2), pp. 184-218. https://doi.org/10.1504/IJSE.2019.099064

Regression Based Scenario Generation: Applications For Performance Management
Mitra, S., Lim, S. and Karathanasopoulos, A. 2019. Regression Based Scenario Generation: Applications For Performance Management. Operations Research Perspectives. 6 100095. https://doi.org/10.1016/j.orp.2018.100095

Firm Value And The Impact of Operational Management
Mitra, S. and Karathanasopoulos, A. 2019. Firm Value And The Impact of Operational Management. Asia-Pacific Financial Markets. 26, pp. 61-85. https://doi.org/10.1007/s10690-018-9258-1

Stock-ADR Arbitrage: Microstructure Risk
Mitra, S. 2019. Stock-ADR Arbitrage: Microstructure Risk. Journal of International Financial Markets, Institutions and Money. 63 101132. https://doi.org/10.1016/j.intfin.2019.08.004

Efficient Option Risk Measurement With Reduced Model Risk
Mitra, S. 2017. Efficient Option Risk Measurement With Reduced Model Risk. Insurance: Mathematics and Economics. 72, pp. 163-174. https://doi.org/10.1016/j.insmatheco.2016.09.006

Stock Market Prediction Using Evolutionary Support Vector Machines: An Application To The ASE20 Index
Karathanasopoulos, A., Theofilatos, K.A., Sermpinis, D., Dunis, C., Mitra, S. and Stasinakis, C. 2016. Stock Market Prediction Using Evolutionary Support Vector Machines: An Application To The ASE20 Index. European Journal of Finance. 22 (12), pp. 1145-1163. https://doi.org/10.1080/1351847X.2015.1040167

Operational Risk: Emerging Markets, Sectors and Measurement
Mitra, S., Karathanasopoulos, A., Sermpinis, G., Dunis, C. and Hood, J. 2015. Operational Risk: Emerging Markets, Sectors and Measurement . European Journal of Operational Research. 241 (1), pp. 122-132. https://doi.org/10.1016/j.ejor.2014.08.021

Permalink - https://westminsterresearch.westminster.ac.uk/item/w3qw7/post-global-financial-crisis-modelling-credit-risk-for-firms-that-are-too-big-to-fail


Share this

Usage statistics

25 total views
46 total downloads
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.