Optimal stopping of Gauss–Markov bridges

Abstract We solve the non-discounted, finite-horizon optimal stopping problem of a Gauss–Markov bridge by using a time-space transformation approach. The associated optimal stopping boundary is proved to be Lipschitz continuous on any closed interval that excludes the horizon, and it is characterized by the unique solution of an integral equation. A Picard iteration algorithm is discussed and implemented to exemplify the numerical computation and geometry of the optimal stopping boundary for some illustrative cases.

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Publication Details

Journal
Advances in Applied Probability
Published
2024-12-04
DOI
https://doi.org/10.1017/apr.2024.21
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.54
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article

Optimal stopping of Gauss–Markov bridges

Eduardo García‐Portugués, Abel Azze, Bernardo D’Auria
1 citations
Advances in Applied Probability
Stochastic processes and financial applications
0.54
article

Optimal stopping of Gauss–Markov bridges

Eduardo García‐Portugués, Abel Azze, Bernardo D’Auria
article en
1 citations

Abstract

Abstract We solve the non-discounted, finite-horizon optimal stopping problem of a Gauss–Markov bridge by using a time-space transformation approach. The associated optimal stopping boundary is proved to be Lipschitz continuous on any closed interval that excludes the horizon, and it is characterized by the unique solution of an integral equation. A Picard iteration algorithm is discussed and implemented to exemplify the numerical computation and geometry of the optimal stopping boundary for some illustrative cases.

Advances in Applied ProbabilityVol. 57(1)
University of Padua (IT), CUNEF Universidad, Universidad Carlos III de Madrid (ES)
Openalex Percentile: Top 28%
Stochastic processes and financial applications
0.54
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Optimal stopping of Gauss–Markov bridges — Eduardo García‐Portugués, Abel Azze, et al. · Advances in Applied Probability (2024) | TGRS Research Map | TGRS