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Factor Models For Call Price Surface Without Static Arbitrage

机译:无静态套利的看涨价格面的因素模型

摘要

Although stochastic volatility models and local volatility model are very popular among the market practitioner for exotic option pricing and hedging, they have several critical defects both in theory and practice. We develop a new methodology for equity exotic option pricing and hedging within the marketbased approach framework. We build stochastic factor models for the whole surface of European call option prices directly from the market data, and then use this model to price exotic options, which is not liquidly traded. The factor models are built based on Karhunen-Loeve decomposition, which can be viewed as an infinite dimensional PCA. We develop the mathematical framework of centered and uncentered versions of the Karhunen-Loeve decomposition and study how to incorporate critical shape constraints. The shape constraints are important because no static arbitrage conditions should be satisfied by our factor models. We discuss this methodology theoretically and investigate it by applying to the simulated data.
机译:尽管随机波动率模型和局部波动率模型在市场从业者中非常受外来期权定价和对冲的欢迎,但它们在理论和实践上都存在一些关键缺陷。我们开发了一种新的方法,用于在基于市场的方法框架内进行股权外来期权定价和对冲。我们直接从市场数据中为整个欧洲看涨期权价格建立随机因素模型,然后使用该模型为非流动性期权定价。因子模型是基于Karhunen-Loeve分解建立的,可以看作是无限维PCA。我们开发了Karhunen-Loeve分解的中心版本和非中心版本的数学框架,并研究了如何结合临界形状约束。形状约束非常重要,因为我们的因子模型不应满足任何静态套利条件。我们从理论上讨论这种方法,并将其应用于模拟数据进行研究。

著录项

  • 作者

    Zhu Fan;

  • 作者单位
  • 年度 2012
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

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