Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-14T06:51:34.121Z Has data issue: false hasContentIssue false

A CONDITIONAL EQUITY RISK MODEL FOR REGULATORY ASSESSMENT

Published online by Cambridge University Press:  23 November 2018

A. Floryszczak
Affiliation:
Groupe SMA, 8 rue Louis Armand, CS 71201, 75738 Paris Cedex 15, France E-Mail: anthony_floryszczak@groupe-sma.fr
J. Lévy Véhel*
Affiliation:
Anja team, INRIA & Université de Nantes, 2 rue de la Houssiniere, BP 92208, 44322 Nantes cedex 3, France E-Mails: jacques.levy-vehel@inria.fr, jacques.levy.vehel@caselawanalytics.com
M. Majri
Affiliation:
Groupe SMA, 8 rue Louis Armand, CS 71201, 75738 Paris Cedex 15, France E-Mail: mohamed_majri@groupe-sma.fr

Abstract

We define and study in this work a simple model designed for managing long-term market risk of financial institutions with long-term commitments. It allows the assessment of solvency capital requirements and the allocation of risk budgets. This model allows one to avoid over-assessment of solvency capital requirements specifically after market disruptions. It relies on a dampener component in charge of refining risk assessment after market failures. Rather than aiming at a realistic and thus complex description of equity prices movements, this model concentrates on minimal features enabling accurate computation of capital requirements. It is defined both in a discrete and continuous fashion. In the latter case, we prove the existence, uniqueness and stability of the solution of the stochastic functional differential equation that specifies the model. One difficulty is that the proposed underlying stochastic process has neither stationary nor independent increments. We are however able to perform statistical analyses in view of its validation. Numerical experiments show that our model outperforms more elaborate ones of common use as far as medium-term (between 6 months and 5 years) risk assessment is concerned.

Type
Research Article
Copyright
Copyright © Astin Bulletin 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adrian, T. and Shin, H.S. (2007) Liquidity and leverage, Working Paper, Federal Reserve Bank of New York, New York.Google Scholar
Bec, F. and Gollier, C. (2009a) Cyclicality and term structure of value-at-risk in Europe, TSE Working Paper No. 09-035, May 2009.Google Scholar
Bec, F. and Gollier, C. (2009b) Term structure and cyclicity of value-at-risk: Consequences for the solvency capital requirement, CESifo Working Paper No. 2596, March 2009.Google Scholar
CEIOPS’s Advice for Level 2 Implementing Measures on Solvency II: Article 111 and 304 Equity risk sub-module (2010), https://eiopa.europa.eu/CEIOPS-Archive/Documents/Advices/CEIOPS-L2-Advice-Design-and-calibration-of-the-equity-risk-sub-module.pdf.Google Scholar
Friedman, A. (1975) Stochastic Differential Equations and Applications, Vol. 1. New York: Academic Press.Google Scholar
Hoeffding, W. and Robbins, H. (1948) The central limit theorem for dependent random variables, Duke Mathematical Journal, 15(3), 773780.CrossRefGoogle Scholar
Kashyap, A. and Stein, J. (2004) Cyclical implications of the Basel II capital standards. Federal Reserve Bank of Chicago Economic Perspectives, Q1, 1831.Google Scholar
Madan, D.P., Carr, E.P. and Chang, E.C. (1998) The variance gamma process and option pricing, European Finance Review, 2, 79105.CrossRefGoogle Scholar
Majri, M. and de Lauzon, F.X. (2013) An effective equity model allowing long term investments within the framework of Solvency II, http://hal.archives-ouvertes.fr/docs/00/84/78/87/PDF/MAJRI_20130515.pdfGoogle Scholar
Mao, X. (1997) Stochastic Differential Equations and Applications. Chichester: Horwood Publishing.Google Scholar
Plantin, G., Sapra, H. andShin, H.S. (2008) Marking-to-market: Panacea or Pandora’s box? Journal of Accounting Research, 46, 435460.CrossRefGoogle Scholar
Protter, P.E. (2004) Stochastic Integration and Differential Equations, Second Edition. Berlin: Springer-Verlag.Google Scholar
Rochet, J.-C. (2008) Procyclicality of financial systems: Is there a need to modify current accounting and regulatory rules? Financial Stability Review, Banque de France, 12, 9599.Google Scholar
Solvency Assessment and Management: Steering Committee Position Paper 47 (v 3) Equity risk, https://www.fsb.co.za/Departments/insurance/Documents/PositionPapers/Position%20Paper%2047%20%28v%203%29.pdfGoogle Scholar