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Convex duality in singular control--Optimal consumption choice with intertemporal substitution and optimal investment in incomplete markets.

机译:奇异控制中的凸对偶-具有跨期替代的最优消费选择和对不完整市场的最优投资。

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摘要

In this thesis we study the problem of optimal consumption choice with investment in incomplete markets. The agent's preferences are modeled using non time-additive utilities of the type proposed by Hindy, Huang and Kreps. For such preferences the period utilities depend on the entire path of consumption up to date.;We show that a dual relationship exists between the utility optimization problem and a carefully chosen dual minimization problem. Time-inhomogeneity of the preferences and the dependence on past consumption leads to utility gradients that in a deterministic setting, have the structure of inhomogeneously convex functions. A stochastic representation theorem is used to extend this concept to apply in the random setting. We find that the appropriate dual variables are not necessarily adapted, but that they do have adapted densities.;We illustrate the techniques by finding explicit solutions in a Wiener driven market with multiple assets. For the explicit solutions we pass to the infinite time-horizon, and show how to use the duality framework as a verification theorem. The optimal solution is to consume whenever the supremum of a certain Brownian motion with drift increases. Thus optimal consumption is singular: there is no period of time in which the agent consumes continuously.
机译:本文研究了在不完全市场上进行投资时的最优消费选择问题。使用Hindy,Huang和Kreps提出的类型的非时间累加工具对代理的偏好进行建模。对于这样的偏好,期间效用取决于最新的消费的整个路径。我们证明效用优化问题和精心选择的双重最小化问题之间存在双重关系。偏好的时间不均匀性以及对过去消费的依赖导致效用梯度,在确定性背景下,效用梯度具有不均匀凸函数的结构。随机表示定理用于扩展该概念以应用于随机设置。我们发现适当的对偶变量不一定要适应,但它们确实具有适应的密度。我们通过在维纳驱动的具有多种资产的市场中找到明确的解决方案,来说明这些技术。对于显式解,我们传递到无穷大的时间水平,并展示如何使用对偶框架作为验证定理。最佳解决方案是在具有漂移的特定布朗运动的最高点增加时消耗。因此,最佳消耗量是单数的:没有一段时间可以连续消耗代理。

著录项

  • 作者

    Kauppila, Helena.;

  • 作者单位

    Columbia University.;

  • 授予单位 Columbia University.;
  • 学科 Applied Mathematics.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 126 p.
  • 总页数 126
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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