2019
DOI: 10.1007/s00245-019-09631-9
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Long-Run Risk Sensitive Dyadic Impulse Control

Abstract: In this paper long-run risk sensitive optimisation problem is studied with dyadic impulse control applied to continuous-time Feller-Markov process. In contrast to the existing literature, focus is put on unbounded and non-uniformly ergodic case by adapting the weight norm approach. In particular, it is shown how to combine geometric drift with local minorisation property in order to extend local span-contraction approach when the process as well as the linked reward/cost functions are unbounded. For any predef… Show more

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Cited by 6 publications
(16 citation statements)
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“…Also, it should be noted that optimal stopping problems might be linked to the optimal impulse control framework. In particular, we refer to [17,8,15] and [4,10,13] for risk-sensitive and risk-neutral impulse control framework discussion, respectively.…”
Section: Introductionmentioning
confidence: 99%
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Risk sensitive optimal stopping

Jelito,
Pitera,
Stettner
2019
Preprint
Self Cite
“…Also, it should be noted that optimal stopping problems might be linked to the optimal impulse control framework. In particular, we refer to [17,8,15] and [4,10,13] for risk-sensitive and risk-neutral impulse control framework discussion, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…In fact, in the companion paper [9], we show how to exploit this link and use results from this paper in order to prove the existence of a solution to the continuous time impulse control Bellman equation using its discrete time dyadic approximations. This shows how to apply probabilistic approach and dyadic framework from [15] in the continuous time setting. Note that in [16] a similar link is established for the classical risk-neutral case.…”
Section: Introductionmentioning
confidence: 99%

Risk sensitive optimal stopping

Jelito,
Pitera,
Stettner
2019
Preprint
Self Cite
“…Expectation E (x,V ) is defined on a probability space corresponding to the controlled process; see Section 2 for details. We refer to [13,16,19] where similar framework has been studied.…”
Section: Introductionmentioning
confidence: 99%
“…The main aim of this paper is to find optimal control that minimise (1.1). The optimal strategy is constructed as a limit of dyadic impulse strategies by exploiting results from [16] and [6], i.e. by combining discrete time existence results that are based on the span-contraction approach with regularity properties of risk sensitive optimal stopping value functions.…”
Section: Introductionmentioning
confidence: 99%
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