Mathematics (Oct 2023)

From Constant to Rough: A Survey of Continuous Volatility Modeling

  • Giulia Di Nunno,
  • Kęstutis Kubilius,
  • Yuliya Mishura,
  • Anton Yurchenko-Tytarenko

DOI
https://doi.org/10.3390/math11194201
Journal volume & issue
Vol. 11, no. 19
p. 4201

Abstract

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In this paper, we present a comprehensive survey of continuous stochastic volatility models, discussing their historical development and the key stylized facts that have driven the field. Special attention is dedicated to fractional and rough methods: without advocating for either roughness or long memory, we outline the motivation behind them and characterize some landmark models. In addition, we briefly touch on the problem of VIX modeling and recent advances in the SPX-VIX joint calibration puzzle.

Keywords