No arbitrage global parametrization for the eSSVI volatility surface
Arianna Mingone

TL;DR
This paper introduces a global, arbitrage-free parametrization of the eSSVI volatility surface that improves calibration speed and guarantees arbitrage-free market data fitting, enhancing existing methods.
Contribution
It proposes a novel, faster calibration approach for the eSSVI surface that ensures arbitrage-free fits, providing a comprehensive global view unlike previous sequential methods.
Findings
Faster calibration method for eSSVI surfaces.
Guarantees arbitrage-free fit of market data.
Provides a global parametrization of the volatility surface.
Abstract
The article describes a global and arbitrage-free parametrization of the eSSVI surfaces introduced by Hendriks and Martini in 2019. A robust calibration of such surfaces has already been proposed by the quantitative research team at Zeliade in 2019, but it is sequential in expiries and lacks of a global view on the surface. The alternative calibration suggested in this article is faster and always guarantees an arbitrage-free fit of market data.
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Taxonomy
TopicsFinancial Markets and Investment Strategies · Stochastic processes and financial applications · Financial Risk and Volatility Modeling
