De Finetti’s control for refracted skew Brownian motion

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.

Authors

Institutions

Publication Details

Journal
Advances in Applied Probability
Published
2026-03-03
DOI
https://doi.org/10.1017/apr.2026.10058
Primary Topic
Probability and Risk Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

De Finetti’s control for refracted skew Brownian motion

Zhongqin Gao, Lv Yan, Xiaowen Zhou
Advances in Applied Probability
Probability and Risk Models
article

De Finetti’s control for refracted skew Brownian motion

Zhongqin Gao, Lv Yan, Xiaowen Zhou
article en

Abstract

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.

Advances in Applied Probability
Nanjing University of Science and Technology (CN), Concordia University (CA)
Openalex Percentile: Top 42%
Probability and Risk Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.