Article
Version 1
Preserved in Portico This version is not peer-reviewed
Company Value with Ruin Constraint in a Discrete Model
Version 1
: Received: 7 December 2017 / Approved: 8 December 2017 / Online: 8 December 2017 (06:55:06 CET)
A peer-reviewed article of this Preprint also exists.
Hipp, C. Company Value with Ruin Constraint in a Discrete Model. Risks 2018, 6, 1, doi:10.3390/risks6010001. Hipp, C. Company Value with Ruin Constraint in a Discrete Model. Risks 2018, 6, 1, doi:10.3390/risks6010001.
Abstract
Optimal dividend payment under a ruin constraint is a two objective control problem which—in simple models—can be solved numerically by three essentially different methods. One is based on a modified Bellman equation and the policy improvement method (see Hipp C., 2003). In this paper we use explicit formulas for running allowed ruin probabilities which avoid a complete search and speed up and simplify the computation. The second is also a policy improvement method, but without the use of a dynamic equation (see Hipp C., 2003). It is based on closed formulas for first entry probabilities and discount factors for the time until first entry (see Hipp C., 2016). Third a new, faster and more intuitive method which uses appropriately chosen barrier levels and a closed formula for the corresponding dividend value. Using the running allowed ruin probabilities, a simple test for admissibility—concerning the ruin constraint—is given. All these methods work for the discrete De Finetti model and are applied in a numerical example. The non stationary Lagrange multiplier method suggested in (see Hipp C., 2016), Section 2.2.2 does also yield optimal dividend strategies which differ from those in all other methods, and Lagrange gaps are present here. These gaps always exist in De Finetti models, see (see Hipp C., 2017).
Keywords
stochastic control; optimal dividend payment; ruin probability constraint
Subject
Computer Science and Mathematics, Discrete Mathematics and Combinatorics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment