A Proposal to Measure Operational Risk Dynamically and Coherently

Authors

  • José Francisco Martínez Sánchez Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo
  • Francisco Venegas Martínez Escuela Superior de Economía, Instituto Politécnico Nacional

DOI:

https://doi.org/10.29201/peipn.v8i15.281

Keywords:

dynamic risk measure, coherent risk measure, binomial tree

Abstract

The purpose of this paper is to propose a dynamic theoretical framework to calculate a coherent set of Values at Risk for various periods through an incremental stochastic process. It uses the topology of a decision tree to characterized the possible states of the process and compute their probabilities. The states form a coherent set of acceptance of "Values at Risk" representing a closed convex cone. Unlike the static models for a single period, the proposed dynamic model allows the decision maker to have dynamic information on the maximum expected loss from an investment portfolio or strategy, and thus to determine the minimum capital requirement.

Downloads

Download data is not yet available.

References

Artzner, P., F. Delbaen, J. Eber J. y D. Heath (1998), "Coherent Measures of Risk", manuscript, Université Louis Pasteur.

Artzner, P., F. Delbaen, J. Eber, D. Heath y H. Ku (2007), Coherent Multiperiod Risk Adjusted Values and Bellman's Principle, Annals of Operations Research, vol. 152, núm. 1, pp. 5-22.

Bion-Nadal, J. (2004), Conditional Risk Measure and Robust Representation of Convex Conditional Risk Measures, Preprint CMAP 557.

Delbaen, F. (2006), "The Structure of m-Stable Sets and in Particular of the Set of Risk Neutral Measures", Seminaire de Probabilités XXXIX, Lecture Notes in Mathematics 1874, pp. 215-258.

Detlefsen, K. y G. Scandolo (2005), "Conditional and Dynamic Convex Risk Measures", Finance and Stochastics, vol. 9, pp. 539-561.

Riedel, F. (2004), "Dynamic Coherent Risk Measures", Stochastic Processes and their Applications, vol. 112, núm. 2, pp. 185-200.

Frittelli, M. y G. E. Rosazza (2004), "Dynamic Convex Risk Measures", Risk Measures for the 21st Century, Capítulo 12, Wiley Finance.

Kloppel, S. y M. Schweizer (2007), Dynamic Utility Indifference Valuation Via Convex Risk Measures, Math. Finance, vol. 17, núm. 4, pp. 599-627.

Venegas-Martínez, F. (2008), Riesgos Financieros y Económicos, 2da. Edición, Cengage.

Published

2025-11-02 — Updated on 2012-07-02

How to Cite

Martínez Sánchez, J. F., & Venegas Martínez, F. (2012). A Proposal to Measure Operational Risk Dynamically and Coherently. Panorama Económico, 8(15), 101–116. https://doi.org/10.29201/peipn.v8i15.281

Issue

Section

Artículos

Similar Articles

1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.