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No Arbitrage SVI

Published: 01 January 2022 Publication History

Abstract

We fully characterize the absence of butterfly arbitrage in the stochastic volatility inspired (SVI) formula for implied total variance proposed by Gatheral in 2004. The main ingredient is an intermediate characterization of the necessary condition for no arbitrage obtained for any model by Fukasawa in 2012 that the inverse functions of the $-d_1$ and $-d_2$ of the Black--Scholes formula, viewed as functions of the log-forward moneyness, should be increasing. A natural rescaling of the SVI parameters and a meticulous analysis of the Durrleman condition allow us then to obtain simple range conditions on the parameters. This leads to a straightforward implementation of a least-squares calibration algorithm on the no arbitrage domain, which yields an excellent fit on the market data we used for our tests, with the guarantee to yield smiles with no butterfly arbitrage.

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Published In

cover image SIAM Journal on Financial Mathematics
SIAM Journal on Financial Mathematics  Volume 13, Issue 1
EISSN:1945-497X
DOI:10.1137/sjfmbj.13.1
Issue’s Table of Contents

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Society for Industrial and Applied Mathematics

United States

Publication History

Published: 01 January 2022

Author Tags

  1. implied volatility
  2. volatility smile
  3. calibration
  4. SVI
  5. arbitrage-free parametrization

Author Tags

  1. 91G20
  2. 91G60
  3. 65C50

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