两个竞争对手之间的实物期权博弈:价格战案例

IF 0.4 Q4 ECONOMICS
E. Musiał
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引用次数: 0

摘要

本文研究了企业在竞争市场中的最优投资策略。投资决策过程被描述为两个参与者之间的博弈,而实物期权方法被用来寻找投资项目的价值,因此本文属于实物期权博弈领域。根据游戏解决方案,我们为竞争对手制定建议。毫不奇怪,优势主要在于占主导地位的公司,但在某些情况下,较弱的一方拥有非常强大的谈判筹码。为了减轻价格战的可能影响,企业可以合作,他们的谈判可以通过计算为可可价值的报酬转移来支持。事实证明,当项目风险很高时,以及当价格战激烈时,竞争对手之间可能的合作也会变得重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real options games between two competitors: the case of price war
This paper takes the subject of optimal investment strategies for firms acting on a competitive market. An investment decision-making process is described as a game between two players, and the real options approach is used to find a value of an investment project, therefore the paper falls in the area of the real options games. Based on games solutions we formulate recommendations for competitors. It comes as no surprise that the advantage is primarily on the side of a dominant company, but under certain circumstances, a weaker party has a very strong bargaining chip. To mitigate possible effects of price war, firms may cooperate and their negotiations could be supported by a payoff transfer computed as the coco value. It also turned out that the possible cooperation between competitors gains significance when a project risk is high, as well as when the price war is cut-throat.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
26
期刊介绍: IJCEE explores the intersection of economics, econometrics and computation. It investigates the application of recent computational techniques to all branches of economic modelling, both theoretical and empirical. IJCEE aims at an international and multidisciplinary standing, promoting rigorous quantitative examination of relevant economic issues and policy analyses. The journal''s research areas include computational economic modelling, computational econometrics and statistics and simulation methods. It is an internationally competitive, peer-reviewed journal dedicated to stimulating discussion at the forefront of economic and econometric research. Topics covered include: -Computational Economics: Computational techniques applied to economic problems and policies, Agent-based modelling, Control and game theory, General equilibrium models, Optimisation methods, Economic dynamics, Software development and implementation, -Econometrics: Applied micro and macro econometrics, Monte Carlo simulation, Robustness and sensitivity analysis, Bayesian econometrics, Time series analysis and forecasting techniques, Operational research methods with applications to economics, Software development and implementation.
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