Pricing and Hedging the Smile with SABR: Evidence from the Interest Rate Caps Market

Tao Wu
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引用次数: 11

Abstract

This is the first comprehensive study of the SABR (Stochastic Alpha-Beta-Rho) model (Hagan et. al (2002)) on the pricing and hedging of interest rate caps. We implement several versions of the SABR interest rate model and analyze their respective pricing and hedging performance using two years of daily data with seven different strikes and ten different tenors on each trading day. In-sample and out-of-sample tests show that in addition to having stochastic volatility for the forward rate, it is essential to recalibrate daily either the “vol of vol” or the correlation between forward rate and its volatility, although recalibrating both further improves pricing performance. The fully stochastic version of the SABR model exhibits excellent pricing accuracy and more importantly, captures the dynamics of the volatility smile over time very well. This is further demonstrated through examining delta hedging performance based on the SABR model. Our hedging result indicates that the SABR model produces accurate hedge ratios that outperform those implied by the Black model.
用SABR定价和对冲微笑:来自利率上限市场的证据
这是对SABR(随机α - β - rho)模型(Hagan等人(2002))关于利率上限定价和对冲的第一次全面研究。我们实施了几个版本的SABR利率模型,并使用两年的每日数据分析了它们各自的定价和对冲表现,每个交易日有七个不同的罢工和十个不同的期限。样本内和样本外测试表明,除了远期汇率具有随机波动率外,每天重新校准“波动率的波动率”或远期汇率与其波动率之间的相关性是至关重要的,尽管重新校准两者进一步提高了定价性能。SABR模型的完全随机版本显示出出色的定价准确性,更重要的是,它很好地捕捉了波动率随时间的动态变化。通过检验基于SABR模型的delta套期保值绩效,进一步证明了这一点。我们的对冲结果表明,SABR模型产生准确的对冲比率,其表现优于Black模型所隐含的对冲比率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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