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Stochastic Modeling in Commodity Markets and Optimal Stopping of Symmetric Markov Processes.

机译:商品市场中的随机建模和对称马尔可夫过程的最佳停止。

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摘要

This dissertation consists of two parts. The first part studies subordinate Ornstein-Uhlenbeck (SubOU) processes, i.e., OU diffusions time changed by Levy subordinators. I construct their sample path decomposition, show that they possess mean-reverting jumps, study their equivalent measure transformations, and the eigenfunction expansion of their transition semigroups in terms of Hermite polynomials. As an application, I propose a new class of commodity models with mean-reverting jumps based on SubOU process. Further time changing by the integral of a CIR process plus a deterministic function of time induces stochastic volatility and time inhomogeneity, such as seasonality, into the models. I obtain analytical solutions for commodity futures options in terms of Hermite expansions. The models are consistent with the initial futures curve, exhibit Samuelson's maturity effect, and are flexible enough to capture a variety of implied volatility smile patterns observed in commodities futures options.;The second part proposes a new approach to solve finite and infinite horizon optimal stopping problems for symmetric Hunt processes, a large class of Markov processes that includes one-dimensional diffusions, birth-death processes, jump-diffusions and pure jumps and continuous-time Markov chains obtained by time changing diffusions and BD processes with Levy subordinators. When the expectation operator has a purely discrete spectrum, the value function of a discrete time optimal stopping problem with square-integrable rewards has the expansion in the eigenfunctions of the expectation operator. The Bellman's backward induction for the value function then reduces to an explicit recursion for the expansion coefficients. The value function of the continuous optimal stopping problem is then obtained by extrapolating the value function of the discrete problem to the limit via Richardson extrapolation. To illustrate this approach, the dissertation develops several applications in evaluation of American-style commodity futures options, Bermudan-style real options and callable consols.
机译:本文由两部分组成。第一部分研究下级Ornstein-Uhlenbeck(SubOU)过程,即Levy下属更改的OU扩散时间。我构造了它们的样本路径分解,表明它们具有均值回复跳,研究了它们的等价测度变换,并根据Hermite多项式研究了它们的过渡半群的本征函数展开。作为一个应用程序,我提出了一种新的商品模型,该模型具有基于SubOU流程的均值回复跳跃。通过CIR流程的积分加上时间的确定性函数来进一步更改时间,会在模型中引起随机波动和时间非均匀性(例如季节性)。我从Hermite扩展中获得了商品期货期权的分析解决方案。这些模型与初始期货曲线相一致,具有萨缪尔森的到期效应,并且具有足够的灵活性,可以捕获商品期货期权中观察到的各种隐含波动率微笑模式。第二部分提出了一种解决有限和无限期最优止损的新方法。对称亨特过程的问题,一大类马尔可夫过程,包括一维扩散,出生-死亡过程,跳跃扩散和纯跳跃,以及通过使用Levy从属者随时间变化的扩散和BD过程获得的连续时间马尔可夫链。当期望算符具有纯离散频谱时,具有平方可积分奖励的离散时间最优停止问题的值函数会扩展期望算符的本征函数。然后,对值函数的Bellman向后归纳简化为展开系数的显式递归。然后,通过Richardson外推将离散问题的值函数外推到极限,从而获得连续最优停止问题的值函数。为了说明这种方法,本文开发了几种在评估美式商品期货期权,百慕大式实物期权和可赎回债券方面的应用。

著录项

  • 作者

    Li, Lingfei.;

  • 作者单位

    Northwestern University.;

  • 授予单位 Northwestern University.;
  • 学科 Operations Research.;Business Administration Management.;Economics Finance.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 174 p.
  • 总页数 174
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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