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A Geometry-Aware Residual Correction of Hagan's SABR Implied Volatility Formula
This paper proposes a hybrid methodology to improve the approximation of SABR (Stochastic Alpha Beta Rho) implied volatility by combining analytical structure with machine learning. The approach augments the neural-network input representation with geometric features derived from the stochastic diff
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