On Carr and Lee's Correlation Immunization Strategy. Issue 2 (4th March 2019)

• Record Type: Journal Article
• Authors: Lin, Jimin; Lorig, Matthew
• Is Part Of: Applied mathematical finance. Volume 26:Issue 2(2019)
• Page Start: 131
• Page End: 152
• Publication Date: 2019-03-04
• Subjects: Robust pricing -- quadratic variation -- volatility -- variance; Business mathematics -- Periodicals; 650.0151
• DOI: 10.1080/1350486X.2019.1598276
• Languages: English
• ISSNs: 1350-486X

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.