Exit Game with Private Information

IF 1.4 3区 数学 Q2 MATHEMATICS, APPLIED Mathematics of Operations Research Pub Date : 2024-09-12 DOI:10.1287/moor.2022.0285
H. Dharma Kwon, Jan Palczewski
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Abstract

The timing of strategic exit is one of the most important but difficult business decisions, especially under competition and uncertainty. Motivated by this problem, we examine a stochastic game of exit in which players are uncertain about their competitor’s exit value. We construct an equilibrium for a large class of payoff flows driven by a general one-dimensional diffusion. In the equilibrium, the players employ sophisticated exit strategies involving both the state variable and the posterior belief process. These strategies are specified explicitly in terms of the problem data and a solution to an auxiliary optimal stopping problem. The equilibrium that we obtain is further shown to be unique within a wide subclass of symmetric Bayesian equilibria.
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利用私人信息的退出游戏
战略退出的时机是最重要但最困难的商业决策之一,尤其是在竞争和不确定的情况下。受这一问题的启发,我们研究了一种退出的随机博弈,在这种博弈中,参与者对竞争对手的退出价值并不确定。我们构建了由一般一维扩散驱动的一大类报酬流的均衡。在均衡状态下,博弈者会采用涉及状态变量和后验信念过程的复杂退出策略。这些策略是根据问题数据和辅助最优停止问题的解明确指定的。我们得到的均衡进一步证明了它在对称贝叶斯均衡的广泛子类中是唯一的。
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来源期刊
Mathematics of Operations Research
Mathematics of Operations Research 管理科学-应用数学
CiteScore
3.40
自引率
5.90%
发文量
178
审稿时长
15.0 months
期刊介绍: Mathematics of Operations Research is an international journal of the Institute for Operations Research and the Management Sciences (INFORMS). The journal invites articles concerned with the mathematical and computational foundations in the areas of continuous, discrete, and stochastic optimization; mathematical programming; dynamic programming; stochastic processes; stochastic models; simulation methodology; control and adaptation; networks; game theory; and decision theory. Also sought are contributions to learning theory and machine learning that have special relevance to decision making, operations research, and management science. The emphasis is on originality, quality, and importance; correctness alone is not sufficient. Significant developments in operations research and management science not having substantial mathematical interest should be directed to other journals such as Management Science or Operations Research.
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