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Small-time asymptotics, and expansions of option prices under Levy-based models.

机译:在基于征费的模型下,小时间渐近,期权价格上涨。

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摘要

This thesis is concerned with the small-time allymptotics and expansions of call option prices, when the log-return processes of the underlying stock prices follow several Levy-balled models. To be specific, we derive the time-to-maturity allymptotic behavior for both at-the-money (ATM), out-of-the-money (OTM) and in-the-money (ITM) call-option prices under several jump-diffusion models and stochalltic volatility models with Levy jumps. In the OTM and ITM Calles, we consider a general stochalltic volatility model with independent Levy jumps, while in the ATM case, we consider the CGMY model with or without an independent Brownian component.;An accurate modeling of the option market and asset prices often requires a mixture of a continuous diffusive component and a jump component. In this thesis, we first model the log-return process of a risky allset with a jump diffusion model by combining a stochastic volatility model with an independent pure-jump Levy process. By allsuming smoothness conditions on the Levy density away from the origin and a small-time large deviation principle on the stochalltic volatility model, we derive the small-time expansions, of arbitrary polynomial order in time-t, for the tail distribution of the log-return process, and for both OTM and ITM call-option prices. Moreover, our approach allows for a unified treatment of more general payoff functions. As a consequence of our tail expansions, the polynomial expansion in t of the transition density is also obtained under mild conditions.;The allymptotic behavior of the ATM call-option price is more complicated to obtain and, in general, is given by fractional powers of t, which depends on different choices of the underlying log-return models. Here, we focus on the CGMY model, one of the most popular tempered stable models used in financial modeling. A novel second-order approximation for ATM option price under the pure-jump CGMY Levy model is derived, and then extended to a model with an additional independent Brownian component. The third-order asymptotic behavior of the ATM option price as well as the asymptotic behavior of the corresponding Black-Scholes implied volatility are also addressed.
机译:当标的股票价格的对数返回过程遵循几种征费模型时,本论文关注的是小规模的价格波动和看涨期权价格的膨胀。具体来说,我们推导了在以下几种情况下平价(ATM),平价(OTM)和平价(ITM)看涨期权价格的到期时间渐近行为Levy跳跃的跳跃扩散模型和随机波动率模型。在OTM和ITM Calles中,我们考虑具有独立征费跳跃的一般随机波动率模型,而在ATM情况下,我们考虑具有或不具有独立布朗成分的CGMY模型。经常对期权市场和资产价格进行精确建模需要连续扩散成分和跳跃成分的混合物。在本文中,我们首先将随机波动率模型与独立的纯跳跃征费过程相结合,使用跳跃扩散模型对风险资产的对数-返回过程进行建模。通过假设Levy密度远离原点的光滑条件和随机波动率模型的小时间大偏差原理,我们得出了时间t的任意多项式阶的小时间展开,用于对数的尾部分布-退货流程,以及OTM和ITM期权价格。而且,我们的方法允许对更一般的收益函数进行统一处理。由于我们的尾部扩展,在温和的条件下也可以获得过渡密度t的多项式扩展。; ATM看涨期权价格的渐近行为更难获得,并且通常由小数幂给出t,取决于基础对数返回模型的不同选择。在这里,我们关注CGMY模型,这是用于财务建模的最流行的调整后稳定模型之一。推导了纯跳跃CGMY Levy模型下ATM期权价格的新颖二阶近似,然后将其扩展为具有附加独立布朗分量的模型。还讨论了ATM期权价格的三阶渐近行为以及相应的Black-Scholes隐含波动率的渐近行为。

著录项

  • 作者

    Gong, Ruoting.;

  • 作者单位

    Georgia Institute of Technology.;

  • 授予单位 Georgia Institute of Technology.;
  • 学科 Applied Mathematics.;Economics Finance.;Statistics.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 110 p.
  • 总页数 110
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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