← Back to results De Finetti’s control for refracted skew Brownian motion Zhongqin Gao et al.
Abstract In this paper we propose a refracted skew Brownian motion as a risk model with endogenous regime switching, which generalizes the refracted diffusion risk process introduced by Gerber and Shiu. We consider an optimal dividend problem for the refracted skew Brownian risk model and identify sufficient conditions, respectively, for barrier strategy, band strategy, and their variants to be optimal.
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@article{zhongqin2026,
title = {{De Finetti’s control for refracted skew Brownian motion}},
author = {Zhongqin Gao et al.},
journal = {Advances in Applied Probability},
year = {2026},
doi = {https://doi.org/https://doi.org/10.1017/apr.2026.10058},
} TY - JOUR
TI - De Finetti’s control for refracted skew Brownian motion
AU - al., Zhongqin Gao et
JO - Advances in Applied Probability
PY - 2026
ER - Zhongqin Gao et al. (2026). De Finetti’s control for refracted skew Brownian motion. *Advances in Applied Probability*. https://doi.org/https://doi.org/10.1017/apr.2026.10058 Zhongqin Gao et al.. "De Finetti’s control for refracted skew Brownian motion." *Advances in Applied Probability* (2026). https://doi.org/https://doi.org/10.1017/apr.2026.10058. De Finetti’s control for refracted skew Brownian motion
Zhongqin Gao et al. · Advances in Applied Probability · 2026
https://doi.org/https://doi.org/10.1017/apr.2026.10058 Copy
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