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Approximate arbitrage-free option pricing under the SABR model
Affiliation:1. Department of Finance and Insurance, Nanjing University, 22 Hankou Road, Nanjing 210093, China;2. Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, NT, Hong Kong;3. Lingnan (University) College, Sun Yat-sen University, Guangzhou 510275, China;4. Antai College of Economics and Management, Shanghai Jiao Tong University, 1954 Huashan Road, Shanghai 200030, China;1. Department of Mathematics, Faculty of Science, University of Annaba, Box. 12, Annaba 23000, Algeria;2. HuCE, Mathematics, Bern University of Applied Sciences, Biel CH-2501, Switzerland;1. School of Business, Stevens Institute of Technology, 1 Castle Point on Hudson, Hoboken, NJ 07310, USA;2. School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA;3. Department of Mathematics, Marist College, 3399 North Road, Poughkeepsie, NY 12601, USA;1. Computational Science and Engineering, Yonsei University, Seoul 03722, Korea;2. Department of Mathematics, Yonsei University, Seoul 03722, Korea
Abstract:The stochastic-alpha-beta-rho (SABR) model introduced by Hagan et al. (2002) provides a popular vehicle to model the implied volatilities in the interest rate and foreign exchange markets. To exclude arbitrage opportunities, we need to specify an absorbing boundary at zero for this model, which the existing analytical approaches to pricing derivatives under the SABR model typically ignore. This paper develops closed-form approximations to the prices of vanilla options to incorporate the effect of such a boundary condition. Different from the traditional normal distribution-based approximations, our method stems from an expansion around a one-dimensional Bessel process. Extensive numerical experiments demonstrate its accuracy and efficiency. Furthermore, the explicit expression yielded from our method is appealing from the practical perspective because it can lead to fast calibration, pricing, and hedging.
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