Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Avram, Florin
and
Goreac, Dan
2019.
A pontryaghin maximum principle approach for the optimization of dividends/consumption of spectrally negative markov processes, until a generalized draw-down time.
Scandinavian Actuarial Journal,
Vol. 2019,
Issue. 9,
p.
799.
Avram, Florin
Grahovac, Danijel
and
Vardar-Acar, Ceren
2019.
The W,Z/ν,δ Paradigm for the First Passage of Strong Markov Processes without Positive Jumps.
Risks,
Vol. 7,
Issue. 1,
p.
18.
Wang, Wenyuan
and
Zhang, Zhimin
2019.
Optimal loss-carry-forward taxation for Lévy risk processes stopped at general draw-down time.
Advances in Applied Probability,
Vol. 51,
Issue. 03,
p.
865.
Zhang, Aili
and
Liu, Zhang
2020.
A Lévy Risk Model with Ratcheting Dividend Strategy and Historic High-Related Stopping.
Mathematical Problems in Engineering,
Vol. 2020,
Issue. ,
p.
1.
Wang, Wenyuan
Chen, Ping
and
Li, Shuanming
2020.
Generalized expected discounted penalty function at general drawdown for Lévy risk processes.
Insurance: Mathematics and Economics,
Vol. 91,
Issue. ,
p.
12.
Avram, Florin
Grahovac, Danijel
and
Vardar-Acar, Ceren
2020.
TheW,Zscale functions kit for first passage problems of spectrally negative Lévy processes, and applications to control problems.
ESAIM: Probability and Statistics,
Vol. 24,
Issue. ,
p.
454.
Avram, Florin
and
Goreac, Dan
2021.
Do generalized draw-down times lead to better dividends? A Pontryagin principle-based answer.
IMA Journal of Mathematical Control and Information,
Vol. 38,
Issue. 1,
p.
361.
Wang, Wenyuan
Wu, Xueyuan
and
Chi, Cheng
2021.
Optimal implementation delay of taxation with trade-off for spectrally negative Lévy risk processes.
European Actuarial Journal,
Vol. 11,
Issue. 1,
p.
285.
Avanzi, Benjamin
Lau, Hayden
and
Wong, Bernard
2021.
Optimal periodic dividend strategies for spectrally negative Lévy processes with fixed transaction costs.
Scandinavian Actuarial Journal,
Vol. 2021,
Issue. 8,
p.
645.
Wang, Wenyuan
and
Zhou, Xiaowen
2021.
A Drawdown Reflected Spectrally Negative Lévy Process.
Journal of Theoretical Probability,
Vol. 34,
Issue. 1,
p.
283.
Chen, Mi
Yuen, Kam Chuen
and
Wang, Wenyuan
2021.
Optimal reinsurance and dividends with transaction costs and taxes under thinning structure.
Scandinavian Actuarial Journal,
Vol. 2021,
Issue. 3,
p.
198.
Xu, Ran
Wang, Wenyuan
and
Garrido, Jose
2022.
Optimal Dividend Strategy Under Parisian Ruin with Affine Penalty.
Methodology and Computing in Applied Probability,
Vol. 24,
Issue. 3,
p.
1385.
Huang, Xuan
and
Zhou, Jieming
2022.
General Draw-Down Times for Refracted Spectrally Negative Lévy Processes.
Methodology and Computing in Applied Probability,
Vol. 24,
Issue. 2,
p.
875.
Zhang, Aili
Chen, Ping
Li, Shuanming
and
Wang, Wenyuan
2022.
Risk modelling on liquidations with Lévy processes.
Applied Mathematics and Computation,
Vol. 412,
Issue. ,
p.
126584.
Zhang, Aili
2022.
Gerber–Shiu Function at Draw-Down Parisian Ruin Time for the Spectrally Negative Lévy Risk Process.
Bulletin of the Iranian Mathematical Society,
Vol. 48,
Issue. 4,
p.
1895.
Wang, Wenyuan
and
Xu, Ran
2022.
General drawdown based dividend control with fixed transaction costs for spectrally negative Lévy risk processes.
Journal of Industrial & Management Optimization,
Vol. 18,
Issue. 2,
p.
795.
Wang, Wenyuan
Wang, Yuebao
Chen, Ping
and
Wu, Xueyuan
2022.
Dividend and Capital Injection Optimization with Transaction Cost for Lévy Risk Processes.
Journal of Optimization Theory and Applications,
Vol. 194,
Issue. 3,
p.
924.
Liu, Zhang
and
Chen, Ping
2022.
Dividend payments until draw-down time for risk models driven by spectrally negative Lévy processes.
Communications in Statistics - Simulation and Computation,
Vol. 51,
Issue. 12,
p.
7226.
Li, Shu
and
Zhou, Xiaowen
2022.
The Parisian and ultimate drawdowns of Lévy insurance models.
Insurance: Mathematics and Economics,
Vol. 107,
Issue. ,
p.
140.
Geboers, Hans
Depaire, Benoît
and
Annaert, Jan
2023.
A review on drawdown risk measures and their implications for risk management.
Journal of Economic Surveys,
Vol. 37,
Issue. 3,
p.
865.