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首页> 外文期刊>International journal of theoretical and applied finance >FIRST-ORDER ASYMPTOTICS OF PATH-DEPENDENT DERIVATIVES IN MULTISCALE STOCHASTIC VOLATILITY ENVIRONMENT
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FIRST-ORDER ASYMPTOTICS OF PATH-DEPENDENT DERIVATIVES IN MULTISCALE STOCHASTIC VOLATILITY ENVIRONMENT

机译:多尺度随机波动率环境下依赖衍生物的一阶渐近态

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摘要

In this paper, we extend the first-order asymptotics analysis of Fouque et al. to general path-dependent financial derivatives using Dupire’s functional It? calculus. The main conclusion is that the market group parameters calibrated to vanilla options can be used to price to the same order exotic, path-dependent derivatives as well. Under general conditions, the first-order condition is represented by a conditional expectation that could be numerically evaluated. Moreover, if the path-dependence is not too severe, we are able to find path-dependent closed-form solutions equivalent to the first-order approximation of path-independent options derived in Fouque et al. Additionally, we exemplify the results with Asian options and options on quadratic variation.
机译:在本文中,我们扩展了Fouque等人的一阶渐近分析。 使用DuPire的功能依赖于一般路径依赖的金融衍生物吗? 结石。 主要结论是,校准的市场组参数校准在香草选项上可用于价格到同一秩序的异国情调,路径依赖性衍生品。 在一般条件下,一阶条件由可以在数值评估的条件期望来表示。 此外,如果路径依赖性不是太严重,我们能够找到等于FOUQUE等人的路径无关选项的一阶近似的路径依赖性闭合形式解决方案。 此外,我们用亚洲选项和二次变化的选项举例说明结果。

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