Consistent Modelling of VIX and Equity Derivatives Using a 3/2 plus Jumps Model
By Jan Baldeaux, Alexander Badran. 2012
66 citations recorded by the source corpus.
Abstract The paper demonstrates that a pure-diffusion 3/2 model is able to capture the observed upward-sloping implied volatility skew in VIX options. This observation contradicts a common perception in the literature that jumps are required for the consistent modelling of equity and VIX derivatives. The pure-diffusion model, however, struggles to reproduce the smile in the implied volatilities of short-term index options. The pronounced implied volatility smile produces artificially inflated fitted parameters, resulting in unrealistically high VIX option implied volatilities. To remedy these shortcomings, jumps are introduced. The resulting model is able to better fit short-term index option implied volatilities while producing more realistic VIX option implied volatilities, without a loss in tractability.
Subfields: Finance
View Paper: https://www.semanticscholar.org/paper/1a903981e8898daf30919ad81a418d8c6b1eba90
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Jean-Pierre Fouque 3
- Huyen Pham
- Yuri F. Saporito
- Sara Svaluto‐Ferro
- Guido Gazzani
- Janka Möller
- Amine Ismail
- Stéphane Goutte
Citations in the corpus
- Regime-switching stochastic volatility model: estimation and calibration to VIX options (2017, methodology): “In Baldeaux and Badran (2014), Drimus (2012), a so-called 3/2 model is used as a candidate, allowing the volatility of volatility changes to be highly sensitive to the actual level of volatility.”
- A regime-switching Heston model for VIX and S&P 500 implied volatilities (2014, unknown): “Alternative models such as the 3/2-model have emerged as possible candidates for fitting VIX implied volatility [3, 15].”
- Joint calibration to SPX and VIX options with signature‐based models (2023, background): “…the SPX (or additionally also in the volatility) are necessary has lead to the following contributions, Sepp (2012); Papanicolaou and Sircar (2014); Baldeaux and Badran (2014); Kokholm and Stisen (2015); Pacati et al. (2018) and more recently Grzelak (2022) with a new perspective on randomization.”
- Heston stochastic vol-of-vol model for joint calibration of VIX and S&P 500 options (2017, methodology): “There are a few models proposed to solve this calibration issue (see, for instance, Papanicolaou and Sircar 2013; Cont and Kokholm 2013; Baldeaux and Badran 2014; Carr and Madan 2014; Pacati et al. 2015).”