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Differential equations connecting VaR and CVaR

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Balbás, Alejandro and Balbás, Beatriz and Balbás Aparicio, Raquel (2017) Differential equations connecting VaR and CVaR. [ Working paper Business Economic Series; nº 17-01, 326, ISSN: 1989-8843 ]

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Official URL: http://hdl.handle.net/10016/24017



Abstract

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.


Item Type:Working Paper or Technical Report
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Publicado como artículo de revista:
Balbas, Alejandro & Balbás, Beatriz & Balbás, Raquel. (2017). Differential equations connecting VaR and CVaR. Journal of Computational and Applied Mathematics. 326. (2017) 247-267
http://dx.doi.org/10.1016/j.cam.2017.05.037

Uncontrolled Keywords:VaR and CVaR; Differential equations; VaR representation theorem; Risk optimization and probabilistic constraints; Risk and marginal risk estimation.
Subjects:Social sciences > Economics > Econometrics
Social sciences > Economics > Stock exchanges
Social sciences > Economics > Insurance
JEL:C65, G11, G12, G22
Series Name:Working paper Business Economic Series
Volume:326
Number:17-01
ID Code:57774
Deposited On:15 Nov 2019 12:22
Last Modified:06 Jul 2020 12:27

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