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Article Dans Une Revue Advances in Applied Probability Année : 2017

On the central management of risk networks

Résumé

In this paper we identify three questions concerning the management of risk networks with a central branch, which may be solved using the extensive machinery available for one-dimensional risk models. First, we propose a criterion for judging whether a subsidiary is viable by its readiness to pay dividends to the central branch, as reflected by the optimality of the zero-level dividend barrier. Next, for a deterministic central branch which must bailout a single subsidiary each time its surplus becomes negative, we determine the optimal bailout policy, as well as the ruin probability and other risk measures, in closed form. Moreover, we extend these results to the case of hierarchical networks. Finally, for nondeterministic central branches with one subsidiary, we compute approximate risk measures by applying rational approximations, and by using the recently developed matrix scale methodology.

Dates et versions

hal-01759858 , version 1 (05-04-2018)

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Citer

Florin Avram, A. Minca. On the central management of risk networks. Advances in Applied Probability, 2017, 49 (1), pp.221-237. ⟨10.1017/apr.2016.85⟩. ⟨hal-01759858⟩
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