Approximation Method Using Black-Scholes Formula for Barrier Option Pricing under LÃ©vy Models
Kenichiro Shiraya and
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Yuan Li: Graduate School of Economics, University of Tokyo
Kaimon Miyachi: Graduate School of Economics, University of Tokyo
Kenichiro Shiraya: Graduate School of Economics, University of Tokyo
Akira Yamazaki: Graduate School of Business Administration, Hosei University
No CARF-F-454, CARF F-Series from Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo
This study proposes an approximation method for pricing continuously monitored barrier options. We employ a class of LÃ©vy processes as the driving factor of an underlying stock price and consider a mimicking process for approximation. Randomizing the Black-Scholes formula associated with the mimicking process leads to a primary approximation formula. We then develop a probability matching adjustment for improving the accuracy of the primary approximation formula. This method is straightforward and easily implementable. Nevertheless, the approximation prices are reasonably accurate, and the calculation speed is remarkably fast, regardless of time to maturity.
Date: 2019-02, Revised 2021-06
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Persistent link: https://EconPapers.repec.org/RePEc:cfi:fseres:cf454
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