跳跃扩散模型下双头垄断竞争中的投资时机和产能选择。

IF 1.6 2区 数学 Q1 MATHEMATICS Journal of Functional Analysis Pub Date : 2022-01-01 Epub Date: 2021-08-21 DOI:10.1007/s11579-021-00303-3
Xiaoqin Wu, Zhijun Hu
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引用次数: 0

摘要

本文旨在运用实物期权博弈论研究突发事件对双头垄断市场中最优投资时机和产能选择的影响。我们将市场需求和投资成本建模为由泊松过程驱动的具有跳跃性的几何布朗运动。针对具有随机频率和振幅跳跃过程的实物期权模型,我们提出了一种独立于特定分布函数的新计算方法。基于这种方法,我们发现,随着需求和投资成本不确定性的增加,两家公司都会延迟投资,扩大产能。我们还证明,在存在两种不确定性的情况下,两家公司都会推迟投资,而且它们之间的最优产能关系是模糊的。数值模拟显示,需求的向上(向下)跳动和投资成本的向下(向上)跳动会导致企业提前(延后)投资,提高(降低)产能。最后,在企业对称的双头垄断中,由于存在抢先投资的威胁,第一个投资者的投资时间早于非对称双头垄断。
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Investment timing and capacity choice in duopolistic competition under a jump-diffusion model.

This paper aims to apply the real options game theoretic to study the impact of sudden events on the optimal investment timing and capacity choice in a duopoly market. We model the market demand and investment cost as the geometric Brownian motions with jumps driven by the Poisson processes. A new computing method independent on specific distribution functions is proposed for the real option models with jump processes of random frequency and amplitude. Based on this method, we find that both firms delay investment with a larger capacity as uncertainties of demand and investment cost increase. We also demonstrate that two firms both invest later and the optimal capacity relationship between them is ambiguous in the presence of two sources of uncertainty. Numerical simulation reveals that upward (downward) jump in demand and downward (upward) jump in investment cost cause the firms to invest earlier (later) with a larger (smaller) capacity. Finally, in a duopoly with symmetric firms, the first investor invests earlier than in an asymmetric duopoly due to the threat of preemption.

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来源期刊
CiteScore
3.20
自引率
5.90%
发文量
271
审稿时长
7.5 months
期刊介绍: The Journal of Functional Analysis presents original research papers in all scientific disciplines in which modern functional analysis plays a basic role. Articles by scientists in a variety of interdisciplinary areas are published. Research Areas Include: • Significant applications of functional analysis, including those to other areas of mathematics • New developments in functional analysis • Contributions to important problems in and challenges to functional analysis
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