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Irreversible Investment in stochastically Cyclical Markets

机译:随机周期性市场中的不可逆投资

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This paper studies entry and exit decisions in markets whose demand alternates between growth and decline phases at uncertain times. We introduce a stochastic process that captures these features of random market evolution, and we provide key mathematical results related to first passage times which make the characterization of entry and exit behavior quite simple and straightforward (even when the process is subject to an endogenously determined upper or lower barrier). We characterize entry and exit patterns in a dynamic competitive equilibrium, and we show why our results differ from those obtained if demand follows a diffusion process (e.g., a Geometric Brownian Motion). Despite the stochastic process of the underlying variable has a continuous sample path in both cases, we demonstrate in our setting that positive rates of entry and exit discontinuously fall to zero owing to informational overshooting. Another advantage of our framework is that it can explain discontinuities in firm values even if sample paths are continuous. Our framework is also amenable to empirical implementations (as we show using Corts' 2008 offshore oil drilling application), and to an intuitive interpretation of optimal (dis) investment rules based on Bernanke's (1983) "bad news principle of irreversible investment."
机译:本文研究了市场的进入和退出决策,这些市场的需求在不确定的时期在增长和下降阶段之间交替。我们引入了一种随机过程,捕获了随机市场演变的这些特征,并提供了与首次通过时间有关的关键数学结果,这使得进入和退出行为的表征非常简单明了(即使该过程受内生确定的上限影响也是如此)。或更低的障碍)。我们描述了动态竞争均衡中的进入和退出模式,并说明了为什么我们的结果与如果需求遵循扩散过程(例如几何布朗运动)所获得的结果不同。尽管基本变量的随机过程在两种情况下均具有连续的样本路径,但我们在我们的设置中证明,由于信息超调,进入和退出的积极率不连续地下降为零。我们框架的另一个优点是,即使样本路径是连续的,它也可以解释企业价值的不连续性。我们的框架也适用于经验实现(如我们使用Corts的2008年海上石油钻井应用所显示的),以及基于伯南克(1983年)的“不可逆投资的坏消息原理”的最优(无)投资规则的直观解释。

著录项

  • 来源
    《Journal of Economics & Management Strategy》 |2012年第3期|p.801-847|共47页
  • 作者单位

    Department of Economics Ecole Polytechnique Palaiseau Cedex, France;

    Department of Economics University of Arizona Tucson, AZ 85721-0108 Princeton Economics Group Princeton, NJ;

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