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Derivative pricing and portfolio hoice under flexible non-linear return dynamics.

机译:弹性非线性回报动态下的衍生产品定价和投资组合选择。

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Many empirical results have shown the nonlinearities in different asset return dynamics. My dissertation contributes to the literature by exploring the effects of nonlinear dynamics of returns on portfolio choice and option pricing models.;The first essay in Chapter 1 studies the dynamic consumption and asset allocation problem in the presence of regimes in asset returns. Previous solutions either require numerical methods or define the investor's preference over moments of the terminal wealth distribution. I introduce a new way to model the investor's belief process, which is an approximation of the one obtainable under Bayes' updating rule, and provide a closed-form solution. Optimal asset allocations are found to vary considerably across states. For a continuous rebalancing investor, the optimal allocation to the risky asset is always an increasing function of the investment horizon, and the information about the current state is used more aggressively. Under buy-and-hold settings, the investor holds less of the risky asset in the bull state and more of the risky asset in the bear state as the investment horizon expands. The underlying regime has small, yet still significant, impacts on consumption-wealth ratios. Substantial welfare costs confirm the economic importance of accounting for the presence of regimes in asset returns.;In Chapter 2, I use the SNP approach to estimate the dynamics of the conditional state price density (SPD) implied by option prices. SNP is a method to estimate the conditional density of a nonlinear stationary process based on a Hermite expansion. The SNP method embeds a large class of models, including VAR, ARCH, and nonlinear nonparametric processes. Without pre-imposing restrictions on conditional moments, the SNP approach provides a consistent estimation of the law of motion when the option prices follow a nonlinear process with conditional heterogeneities. When assuming the log of the underlying asset price has an SNP conditional SPD, the martingale restriction on the expected return is derived and a closed-form solution is obtained for European options. Finally, in an empirical application, I extract the SPD implied by the S&P 500 option prices and compare it with corresponding Black-Scholes SPD.
机译:许多经验结果表明,不同资产收益动态中存在非线性。本文通过探讨收益的非线性动力学对投资组合选择和期权定价模型的影响,为文献做出了贡献。第一章的第一篇论文研究了资产收益存在制度的动态消费和资产分配问题。先前的解决方案要么需要数值方法,要么定义投资者在最终财富分配时刻的偏好。我介绍了一种对投资者的信任过程进行建模的新方法,该方法是根据贝叶斯的更新规则可获得的近似方法,并提供了一种封闭形式的解决方案。发现各州之间的最佳资产分配差异很大。对于持续进行再平衡的投资者而言,对风险资产的最佳配置始终是投资范围的增加功能,并且会更加积极地使用有关当前状态的信息。在买入持有的情况下,随着投资范围的扩大,投资者在牛市中持有的风险资产更少,而在熊市中持有的风险资产则更多。基本的制度对消费财富比率的影响很小,但仍然很重要。大量的福利成本确认了资产收益中存在制度的经济重要性。在第二章中,我使用SNP方法来估计期权价格所隐含的条件状态价格密度(SPD)的动态。 SNP是一种基于Hermite展开估计非线性平稳过程的条件密度的方法。 SNP方法嵌入了许多模型,包括VAR,ARCH和非线性非参数过程。在不对条件矩施加预先限制的情况下,当期权价格遵循具有条件异质性的非线性过程时,SNP方法可提供一致的运动定律估计。当假设标的资产价格的对数具有SNP条件SPD时,就可以得出预期收益的the限制,并可以为欧洲期权获得封闭式解决方案。最后,在经验应用中,我提取了标普500期权价格所隐含的SPD,并将其与相应的Black-Scholes SPD进行比较。

著录项

  • 作者

    Na, Fangzhou.;

  • 作者单位

    University of Virginia.;

  • 授予单位 University of Virginia.;
  • 学科 Economics Finance.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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