
This study presents new analytic approximations of the stochastic-alpha-beta-rho (SABR) model. Unlike existing studies that focus on the equivalent Black-Scholes (BS) volatility, we instead derive the equivalent constant-elasticity-of-variance (CEV) volatility. Our approach effectively reduces the approximation error in a way similar to the control variate method because the CEV model is the zero vol-of-vol limit of the SABR model. Moreover, the CEV volatility approximation yields a finite value at a zero strike and thus conveniently leads to a small-time asymptotics for the mass at zero. The numerical results compare favorably with the BS volatility approximations in terms of the approximation accuracy, small-strike volatility asymptotics, and no-arbitrage region.
CEV model, Stochastic models in economics, Financial markets, Mathematical Finance (q-fin.MF), Stochastic ordinary differential equations (aspects of stochastic analysis), FOS: Economics and business, Quantitative Finance - Mathematical Finance, SABR model, Implied volatility, Stochastic volatility, Pricing of Securities (q-fin.PR), stochastic volatility, Quantitative Finance - Pricing of Securities, implied volatility
CEV model, Stochastic models in economics, Financial markets, Mathematical Finance (q-fin.MF), Stochastic ordinary differential equations (aspects of stochastic analysis), FOS: Economics and business, Quantitative Finance - Mathematical Finance, SABR model, Implied volatility, Stochastic volatility, Pricing of Securities (q-fin.PR), stochastic volatility, Quantitative Finance - Pricing of Securities, implied volatility
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