2020
DOI: 10.3390/risks8030096
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Optimal Dividend Payment in De Finetti Models: Survey and New Results and Strategies

Abstract: We consider optimal dividend payment under the constraint that the with-dividend ruin probability does not exceed a given value α. This is done in most simple discrete De Finetti models. We characterize the value function V(s,α) for initial surplus s of this problem, characterize the corresponding optimal dividend strategies, and present an algorithm for its computation. In an earlier solution to this problem, a Hamilton-Jacobi-Bellman equation for V(s,α) can be found which leads to its representation as the l… Show more

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Cited by 4 publications
(2 citation statements)
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“…This approach goes back to [Hipp, 2003]. Recent results in this direction are presented in [Hipp, 2018b, Hipp, 2018a, Hipp, 2020 and in talk by Brandon Israel García Flores 1 . On a finite time horizon such a constraint dividend maximization problem is analysed in [Grandits, 2015].…”
Section: Introductionmentioning
confidence: 95%
“…This approach goes back to [Hipp, 2003]. Recent results in this direction are presented in [Hipp, 2018b, Hipp, 2018a, Hipp, 2020 and in talk by Brandon Israel García Flores 1 . On a finite time horizon such a constraint dividend maximization problem is analysed in [Grandits, 2015].…”
Section: Introductionmentioning
confidence: 95%
“…While Richman and Wüthrich (2020), Krah et al (2020) and Kremsner et al (2020) consider new applications of neural networks in finance and insurance, Leduc and Nurkanovic Hot (2020), Mickel and Neuenkirch (2021), and Wang and Korn (2020) deal with the use of efficient algorithms for simulating and pricing problems encountered in advanced SDE frameworks. Moreover, Desmettre et al (2020) and Hipp (2020) present solutions to pricing and dividend problems that require efficient numerical computations for explicit examples. Wang and Korn (2020) examine the problem of pricing an American game option with default possibility.…”
mentioning
confidence: 99%