On Carr and Lee’s Correlation Immunization Strategy

Jimin Lin, Matthew J. Lorig
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引用次数: 1

Abstract

ABSTRACT In their seminal work Robust Replication of Volatility Derivatives, Carr and Lee show how to robustly price and replicate a variety of claims written on the quadratic variation of a risky asset under the assumption that the asset’s volatility process is independent of the Brownian motion that drives the asset’s price. Additionally, they propose a correlation immunization strategy that minimizes the pricing and hedging error that results when the correlation between the risky asset’s price and volatility is non-zero. In this paper, we show that the correlation immunization strategy is the only strategy among the class of strategies discussed in Carr and Lee's paper that results in real-valued hedging portfolios when the correlation between the asset’s price and volatility is non-zero. Additionally, we perform a number of Monte Carlo experiments to test the effectiveness of Carr and Lee’s immunization strategy. Our results indicate that the correlation immunization method is an effective means of reducing pricing and hedging errors that result from a non-zero correlation.
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卡尔和李的相关免疫策略
在他们的开创性著作《波动衍生品的稳健复制》中,Carr和Lee展示了如何在假设资产的波动过程独立于驱动资产价格的布朗运动的情况下,稳健地定价和复制风险资产的各种二次变化的索赔。此外,他们提出了一种相关免疫策略,该策略可以最大限度地减少风险资产价格与波动率之间的相关性为非零时产生的定价和套期保值误差。在本文中,我们证明了当资产价格与波动率之间的相关性不为零时,相关免疫策略是Carr和Lee论文中讨论的策略类中唯一产生实值对冲组合的策略。此外,我们进行了一些蒙特卡罗实验来测试卡尔和李的免疫策略的有效性。我们的研究结果表明,相关免疫方法是一种有效的手段,可以减少由非零相关引起的定价和套期保值错误。
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来源期刊
Applied Mathematical Finance
Applied Mathematical Finance Economics, Econometrics and Finance-Finance
CiteScore
2.30
自引率
0.00%
发文量
6
期刊介绍: The journal encourages the confident use of applied mathematics and mathematical modelling in finance. The journal publishes papers on the following: •modelling of financial and economic primitives (interest rates, asset prices etc); •modelling market behaviour; •modelling market imperfections; •pricing of financial derivative securities; •hedging strategies; •numerical methods; •financial engineering.
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