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20102025
most citedSmall-time asymptotics for fast mean-reverting stochastic volatility models

68 citations · 217 across the 38 of their papers we have counts for

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6 papers · 1 filter

q-fin.PR2017

Heston Stochastic Vol-of-Vol Model for Joint Calibration of VIX and S&P 500 Options

Jean-Pierre Fouque, Yuri F. Saporito

A parsimonious generalization of the Heston model is proposed where the volatility-of-volatility is assumed to be stochastic. We follow the perturbation technique of Fouque et al (…

q-fin.PR2013★ 8 cited

Mean Field Games and Systemic Risk

Rene Carmona, Jean-Pierre Fouque, Li-Hsien Sun

We propose a simple model of inter-bank borrowing and lending where the evolution of the log-monetary reserves of banks is described by a system of diffusion processes coupled…

q-fin.PR2010★ 68 cited

Small-time asymptotics for fast mean-reverting stochastic volatility models

Jin Feng, Jean-Pierre Fouque, Rohini Kumar

In this paper, we study stochastic volatility models in regimes where the maturity is small, but large compared to the mean-reversion time of the stochastic volatility factor. The…

q-fin.PR2010★ 48 cited

A Fast Mean-Reverting Correction to Heston's Stochastic Volatility Model

Jean-Pierre Fouque, Matthew Lorig

We propose a multi-scale stochastic volatility model in which a fast mean-reverting factor of volatility is built on top of the Heston stochastic volatility model. A singular pertu…

q-fin.PR2010★ 21 cited

Spectral Decomposition of Option Prices in Fast Mean-Reverting Stochastic Volatility Models

Jean-Pierre Fouque, Sebastian Jaimungal, Matthew Lorig

Using spectral decomposition techniques and singular perturbation theory, we develop a systematic method to approximate the prices of a variety of options in a fast mean-reverting…

q-fin.PR2010

Perturbed Copula: Introducing the skew effect in the co-dependence

Alberto Elices, Jean-Pierre Fouque

Gaussian copulas are widely used in the industry to correlate two random variables when there is no prior knowledge about the co-dependence between them. The perturbed Gaussian cop…