Vanna-Volga Method for Normal Volatilities
Volodymyr Perederiy

TL;DR
This paper adapts the Vanna-Volga method, originally used for Lognormal volatilities in FX markets, to Normal volatilities in interest rate markets, enabling precise, assumption-free smile construction and better handling of complex smile shapes.
Contribution
It introduces a simple modification of the Vanna-Volga method for Normal volatilities, allowing for accurate, assumption-free smile interpolation and extrapolation in interest rate markets.
Findings
Normal Vanna-Volga can construct smiles with machine-precision accuracy.
The method effectively captures convex and concave smile patterns.
It outperforms SABR in modeling complex smile shapes.
Abstract
Vanna-Volga is a popular method for the interpolation/extrapolation of volatility smiles. The technique is widely used in the FX markets context, due to its ability to consistently construct the entire Lognormal smile using only three Lognormal market quotes. However, the derivation of the Vanna-Volga method itself is free of distributional assumptions. With this is mind, it is surprising there have been no attempts to apply the method to Normal volatilities (the current standard for interest rate markets). We show how the method can be modified to build Normal volatility smiles. As it turns out, only minor modifications are required compared to the Lognormal case. Moreover, as the inversion of Normal volatilities from option prices is easier in the Normal case, the smile construction can occur at a machine-precision level using analytical formulae, making the approximations via…
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