Volatility Models in Practice: Rough, Path‐Dependent, or Markovian?

ABSTRACT We present an empirical study examining several claims related to option prices in rough volatility literature using SPX options data. Our results show that rough volatility models with the parameter are inconsistent with the global shape of SPX smiles. In particular, the at‐the‐money SPX skew is incompatible with the power‐law shape generated by these models, which increases too fast for short maturities and decays too slowly for longer maturities. For maturities between 1 week and 3 months, rough volatility models underperform one‐factor Markovian models with the same number of parameters. When extended to longer maturities, rough volatility models do not consistently outperform one‐factor Markovian models. Our study identifies a non‐rough path‐dependent model and a two‐factor Markovian model that outperform their rough counterparts in capturing SPX smiles between 1 week and 3 years, with only three to four parameters.

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Publication Details

Journal
Mathematical Finance
Published
2025-05-06
DOI
https://doi.org/10.1111/mafi.12463
Citations
5
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
11.04
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article

Volatility Models in Practice: Rough, Path‐Dependent, or Markovian?

Eduardo Abi Jaber, Shaun Li
5 citations
Mathematical Finance
Stochastic processes and financial applications
11.04
article

Volatility Models in Practice: Rough, Path‐Dependent, or Markovian?

Eduardo Abi Jaber, Shaun Li
article en
5 citations

Abstract

ABSTRACT We present an empirical study examining several claims related to option prices in rough volatility literature using SPX options data. Our results show that rough volatility models with the parameter are inconsistent with the global shape of SPX smiles. In particular, the at‐the‐money SPX skew is incompatible with the power‐law shape generated by these models, which increases too fast for short maturities and decays too slowly for longer maturities. For maturities between 1 week and 3 months, rough volatility models underperform one‐factor Markovian models with the same number of parameters. When extended to longer maturities, rough volatility models do not consistently outperform one‐factor Markovian models. Our study identifies a non‐rough path‐dependent model and a two‐factor Markovian model that outperform their rough counterparts in capturing SPX smiles between 1 week and 3 years, with only three to four parameters.

Mathematical FinanceVol. 35(4)
École Polytechnique (FR), AXA (France) (FR), Université Paris 1 Panthéon-Sorbonne (FR)
Openalex Percentile: Top 2%
Stochastic processes and financial applications
11.04
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