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Portfolio management and derivative security pricing in markets with stochastic volatility.

机译:具有随机波动性的市场中的投资组合管理和衍生证券定价。

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摘要

In this thesis we look at two problems of great theoretical and practical interest in modern finance: the optimal investment and consumption problem of an investor under uncertainty and the pricing and hedging of derivative securities. This paper discusses the continuous time optimal portfolio management problem and derivative security pricing in the presence of unhedgeable risks. We relax the assumptions on the dynamics followed by the price of the risky asset. In our formulation, the volatility of the risky asset follows diffusion correlated to the stock price. The economy under consideration has two traded assets: the risky asset or stock and the bond. There are two sources of uncertainty arising from the Brownian motions in the stock and volatility dynamics. Hence our formulation is in an incomplete market setting. As such, many existing models are special cases of our dynamics.; Our setting is interesting from a mathematical and financial perspective. Mathematically, the problem is the formulation of a stochastic optimization problem in a more general setting. In fact, there are two state diffusions, a controlled and an uncontrolled one, and the problems herein are a rare case of fully nonlinear problems for which closed form solutions may be found. Furthermore, the stochastic volatility framework increases the dimensionality of the problem and introduces certain non-linearities to the partial differential equations of the prices. These non-linearities are the offspring of market incompleteness and are further explored and compared against their linear counterparts in complete markets that are compatible with linear pricing rules.; The problem is of interest in finance as it discusses the investor's optimal portfolio construction in a more general and realistic setting. Furthermore, in an incomplete market setting no-arbitrage arguments alone do not provide unique prices for derivatives. Our methodology gives a viable bid-ask spread for prices of European derivatives in a generalized market setting, while being consistent with the no-arbitrage argument in a complete market.
机译:在这篇论文中,我们研究了在现代金融中具有重大理论和实践意义的两个问题:不确定性下投资者的最优投资和消费问题以及衍生证券的定价和对冲。本文讨论了存在不可回避风险的连续时间最优投资组合管理问题和衍生证券定价。我们放宽关于风险资产价格动态变化的假设。在我们的公式中,风险资产的波动遵循与股票价格相关的扩散。所考虑的经济体具有两种交易资产:风险资产或股票以及债券。库存和波动率动力学中的布朗运动产生了两种不确定性来源。因此,我们的表述是在不完全市场环境中进行的。因此,许多现有模型都是我们动力学的特例。从数学和财务角度来看,我们的设置很有趣。从数学上讲,问题是在更一般的情况下制定了随机优化问题。实际上,存在两种状态扩散,一种是受控扩散,另一种是非受控扩散,此处的问题是完全非线性问题的罕见情况,对于这些问题,可以找到闭合形式的解。此外,随机波动率框架增加了问题的范围,并将某些非线性引入了价格偏微分方程。这些非线性是市场不完备性的产物,在与线性定价规则兼容的完整市场中,将进一步对其进行探索和比较。这个问题在金融领域引起了极大的兴趣,因为它在更一般和现实的背景下讨论了投资者的最佳投资组合建设。此外,在不完整的市场环境中,仅 no-套利的论点不能为衍生品提供独特的价格。我们的方法给出了在一般市场环境下可行的欧洲衍生产品价格买卖差价,同时与整个市场中的无套利论证相一致。

著录项

  • 作者

    Mazaheri, Mohsen.;

  • 作者单位

    The University of Wisconsin - Madison.;

  • 授予单位 The University of Wisconsin - Madison.;
  • 学科 Economics Finance.; Mathematics.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 136 p.
  • 总页数 136
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 财政、金融;数学;
  • 关键词

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