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相关论文: Stochastic Control of Drawdowns via Reinsurance un…

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This paper studies the stochastic modeling of market drawdown events and the fair valuation of insurance contracts based on drawdowns. We model the asset drawdown process as the current relative distance from the historical maximum of the…

证券定价 · 定量金融 2016-03-11 Hongzhong Zhang , Tim Leung , Olympia Hadjiliadis

We consider a classical stochastic control problem in which a diffusion process is controlled by a withdrawal process up to a termination time. The objective is to maximize the expected discounted value of the withdrawals until the…

概率论 · 数学 2024-06-19 Hélène Guérin , Dante Mata , Jean-François Renaud , Alexandre Roch

In this paper, we study two optimisation settings for an insurance company, under the constraint that the terminal surplus at a deterministic and finite time $T$ follows a normal distribution with a given mean and a given variance. In both…

数理金融 · 定量金融 2022-06-13 Katia Colaneri , Julia Eisenberg , Benedetta Salterini

Drawdowns measuring the decline in value from the historical running maxima over a given period of time, are considered as extremal events from the standpoint of risk management. To date, research on the topic has mainly focus on the side…

证券定价 · 定量金融 2016-03-11 David Landriault , Bin Li , Hongzhong Zhang

We study the problem of optimal risk policies and dividend strategies for an insurance company operating under the constraint that the timing of shareholder payouts is governed by the arrival times of a Poisson process. Concurrently, risk…

最优化与控制 · 数学 2025-02-19 Mark Kelbert , Harold A. Moreno-Franco

We consider stochastic control with discretionary stopping for the drift of a diffusion process over an infinite time horizon. The objective is to choose a control process and a stopping time to minimize the expectation of a convex terminal…

最优化与控制 · 数学 2025-06-24 Václav E. Beneš , Georgy Gaitsgori , Ioannis Karatzas

In this paper, we study a continuous-time discounted jump Markov decision process with both controlled actions and observations. The observation is only available for a discrete set of time instances. At each time of observation, one has to…

最优化与控制 · 数学 2019-07-16 Yunhan Huang , Veeraruna Kavitha , Quanyan Zhu

The paper considers the optimal control problem of inventory of a discrete product in regeneration scheme with a Poisson flow of customer requirements. In the system deferred demand is allowed, the volume of which is limited by a given…

最优化与控制 · 数学 2020-01-31 P. V. Shnurkov , N. A. Vakhtanov

In this paper, we study an optimal reinsurance-investment problem in a risk model with two dependent classes of insurance business, where the two claim number processes are correlated through a common shock component. We assume that the…

最优化与控制 · 数学 2020-10-26 Xia Han , Zhibin Liang

We propose a model in which, in exchange to the payment of a fixed transaction cost, an insurance company can choose the retention level as well as the time at which subscribing a perpetual reinsurance contract. The surplus process of the…

最优化与控制 · 数学 2024-02-13 Salvatore Federico , Giorgio Ferrari , Maria-Laura Torrente

We consider a diffusion risk model where dividends are paid at rate $U(t) \in [0, u_0]$. We are interested in maximising the dividend payments under a drawdown constraint, that is, we penalise a drawdown size larger than a level $d > 0$. We…

最优化与控制 · 数学 2025-11-06 Kira Dudziak , Hanspeter Schmidli

The drawdown process of an one-dimensional regular diffusion process $X$ is given by $X$ reflected at its running maximum. The drawup process is given by $X$ reflected at its running minimum. We calculate the probability that a drawdown…

概率论 · 数学 2016-03-11 Hongzhong Zhang

In this paper, we investigate the robust optimal reinsurance,investment,and internal surplus distribution (i.e., consumption) problem for an insurer with Epstein-Zin recursive preferences in an incomplete market. It is assumed that the…

最优化与控制 · 数学 2026-05-19 Junyi Guo , Jianxuan Li , Qianqian Zhou

In this study, we develop a stochastic optimal control approach with reinforcement learning structure to learn the unknown parameters appeared in the drift and diffusion terms of the stochastic differential equation. By choosing an…

最优化与控制 · 数学 2023-08-22 Shuzhen Yang

Stop-loss rules are often studied in the financial literature, but the stop-loss levels are seldom constructed systematically. In many papers, and indeed in practice as well, the level of the stops is too often set arbitrarily. Guided by…

风险管理 · 定量金融 2016-09-06 Antoine Emil Zambelli

We study a version of the stochastic control problem of minimizing the sum of running and controlling costs, where control opportunities are restricted to independent Poisson arrival times. Under a general setting driven by a general L\'evy…

最优化与控制 · 数学 2024-11-19 Kei Noba , Kazutoshi Yamazaki

This paper analyzes single-item continuous-review inventory models with random supplies in which the inventory dynamic between orders is described by a diffusion process, and a long-term average cost criterion is used to evaluate decisions.…

最优化与控制 · 数学 2024-02-07 K. L. Helmes , R. H. Stockbridge , C. Zhu

Consider two insurance companies (or two branches of the same company) that receive premiums at different rates and then split the amount they pay in fixed proportions for each claim (for simplicity we assume that they are equal). We model…

综合金融 · 定量金融 2011-02-14 Irmina Czarna , Zbigniew Palmowski

We formulate a dynamic reinsurance problem in which the insurer seeks to control the terminal distribution of its surplus while minimizing the L2-norm of the ceded risk. Using techniques from martingale optimal transport, we show that,…

风险管理 · 定量金融 2026-01-16 Beatrice Acciaio , Brandon Garcia Flores , Antonio Marini , Gudmund Pammer

This paper studies how insurers can chose which claims to investigate for fraud. Given a prediction model, typically only claims with the highest predicted propability of being fraudulent are investigated. We argue that this can lead to…

机器学习 · 统计学 2025-09-24 Christos Revelas , Otilia Boldea , Bas J. M. Werker
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