How might model uncertainty and transaction costs impact retained earning & dividend strategies? An examination through a classical insurance risk model

IF 1.9 2区 经济学 Q2 ECONOMICS Insurance Mathematics & Economics Pub Date : 2024-11-15 DOI:10.1016/j.insmatheco.2024.11.002
Yang Feng , Tak Kuen Siu , Jinxia Zhu
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Abstract

Model uncertainty and ambiguity aversion have important consequences for decision-making under uncertainty in diverse fields such as insurance, finance and economics. Although model uncertainty has been considered in decision-making problems in finance and economics, as well as problems relevant to (re)-insurance, relatively little attention has been given to exploring implications of model uncertainty and ambiguity aversion for the optimal policies governing cash retention and dividend payout. On the other hand, taxes and transaction costs/fees have a significant impact on retained earnings and dividend strategies. Despite its technically challenging, their impacts on optimal dividend strategies have been studied in the literature. However, consequences of model uncertainty and ambiguity aversion for optimal dividend payout policies and related decision-making issues in the presence of transaction costs/taxes have not been well-understood. This paper aims to explore this relatively unknown zone and to articulate this technically challenging problem. Specifically, we shall provide a rigorous approach to examine the impacts of model uncertainty and ambiguity aversion on optimal cash retention and dividend payout strategies with fixed and proportional transaction costs/taxes. Our key findings include (1) model uncertainty and ambiguity aversion change the qualitative behaviour of optimal strategies. Say the optimal strategy is a multi-level lump-sum strategy and tends to have more levels than that of the problem without capturing model uncertainty (2) the value function tends to be rougher (in terms of smoothness) than that of the problem without incorporating model uncertainty.
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模型不确定性和交易成本如何影响留存收益和股息策略?通过经典保险风险模型进行检验
在保险、金融和经济等不同领域,模型不确定性和模糊性厌恶对不确定性下的决策具有重要影响。虽然模型不确定性已经在金融和经济学的决策问题中被考虑,以及与(再)保险相关的问题,但相对较少的关注是探索模型不确定性和模糊性厌恶对管理现金保留和股息支付的最佳政策的影响。另一方面,税收和交易成本/费用对留存收益和股息策略有重大影响。尽管在技术上具有挑战性,但它们对最优股息策略的影响已经在文献中进行了研究。然而,在存在交易成本/税收的情况下,模型不确定性和模糊性厌恶对最优股息支付政策和相关决策问题的影响尚未得到很好的理解。本文旨在探索这个相对未知的领域,并阐明这个技术上具有挑战性的问题。具体而言,我们将提供一种严格的方法来检验模型不确定性和模糊性厌恶对固定和比例交易成本/税的最佳现金保留和股息支付策略的影响。我们的主要发现包括:(1)模型不确定性和模糊性厌恶改变了最优策略的定性行为。假设最优策略是一个多层次的总和策略,并且往往比没有捕获模型不确定性的问题具有更多的层次(2)价值函数往往比没有纳入模型不确定性的问题更粗糙(在平滑度方面)。
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来源期刊
Insurance Mathematics & Economics
Insurance Mathematics & Economics 管理科学-数学跨学科应用
CiteScore
3.40
自引率
15.80%
发文量
90
审稿时长
17.3 weeks
期刊介绍: Insurance: Mathematics and Economics publishes leading research spanning all fields of actuarial science research. It appears six times per year and is the largest journal in actuarial science research around the world. Insurance: Mathematics and Economics is an international academic journal that aims to strengthen the communication between individuals and groups who develop and apply research results in actuarial science. The journal feels a particular obligation to facilitate closer cooperation between those who conduct research in insurance mathematics and quantitative insurance economics, and practicing actuaries who are interested in the implementation of the results. To this purpose, Insurance: Mathematics and Economics publishes high-quality articles of broad international interest, concerned with either the theory of insurance mathematics and quantitative insurance economics or the inventive application of it, including empirical or experimental results. Articles that combine several of these aspects are particularly considered.
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