Differential equations connecting VaR and CVaR

The Value at Risk (VaR) is a very important risk measure for practitioners, supervisors and researchers. Many practitioners draw on VaR as a critical instrument in Risk Management and other Actuarial/Financial problems, while supervisors and regulators must deal with VaR due to the Basel Accords and...

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Detalles Bibliográficos
Autores: Balbás De La Corte, Alejandro, Balbás, Beatriz, Balbás Aparicio, Raquel
Tipo de recurso: informe técnico
Fecha de publicación:2017
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/22962
Acceso en línea:https://hdl.handle.net/20.500.14352/22962
Access Level:acceso abierto
Palabra clave:C65
G11
G12
G22
VaR and CVaR
Differential equations
VaR representation theorem
Risk optimization and probabilistic constraints
Risk and marginal risk estimation.
Econometría (Economía)
Mercados bursátiles y financieros
Seguros
5302 Econometría
5304.05 Seguros
Descripción
Sumario:The Value at Risk (VaR) is a very important risk measure for practitioners, supervisors and researchers. Many practitioners draw on VaR as a critical instrument in Risk Management and other Actuarial/Financial problems, while supervisors and regulators must deal with VaR due to the Basel Accords and Solvency II, among other reasons. From a theoretical point of view VaR presents some drawbacks overcome by other risk measures such as the Conditional Value at Risk (CVaR). VaR is neither di¤erentiable nor sub-additive because it is neither continuous nor convex. On the contrary, CVaR satisfies all of these properties, and this simplifies many analytical studies if VaR is replaced by CVaR. In this paper several di¤erential equations connecting both VaR and CVaR will be presented. They will allow us to address several important issues involving VaR with the help of the CVaR properties. This new methodology seems to be very e¢ cient. In particular, a new VaR Representation Theorem may be found, and optimization problems involving VaR or probabilistic constraints always have an equivalent di¤erentiable optimization problem. Applications in VaR, marginal VaR, CVaR and marginal CVaR estimates will be addressed as well. An illustrative actuarial numerical example will be given.