Pricing Volatility Swaps Under Heston's Stochastic Volatility Model with Regime Switching
By Robert J. R. Elliott, Tak Kuen Siu, Leunglung Chan. 2007
142 citations recorded by the source corpus.
Subfields: Demography, Finance
View Paper: https://www.semanticscholar.org/paper/30c23310c50f44a96650455042b1572977d8c682
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
- Guang-Hua Lian
- Robert J. R. Elliott
- Song‐Ping Zhu
- M. Mazur
- Joanna M. Goard
- Tak Kuen Siu
- Andrew Papanicolaou
- Leunglung Chan
In Finance
- Guang-Hua Lian
- Robert J. R. Elliott
- Tak Kuen Siu
- Song‐Ping Zhu
- M. Mazur
- Joanna M. Goard
- Leunglung Chan
- John W. Lau
Citations in the corpus
- A CLOSED‐FORM EXACT SOLUTION FOR PRICING VARIANCE SWAPS WITH STOCHASTIC VOLATILITY (2010, methodology): “More recently, Elliott et al. (2007) proposed a model to evaluate variance swaps and volatility swaps under a continuous-time Markov-modulated version of the stochastic volatility with regime switching, with both probabilistic and PDE approaches being discussed. All these stochastic volatility model”
- STOCHASTIC VOLATILITY MODELS AND THE PRICING OF VIX OPTIONS (2013, methodology): “This includes models of the form (1.1) as well as the popular Heston (1993) model where w = V2 follows a mean-reverting square-root process dw = (a − bw) dt + c√wd Z (see, e.g., Broadie and Jain 2008; Elliott, Siu, and Chan 2007).”
- Pricing variance and volatility swaps in a stochastic volatility model with regime switching: discrete observations case (2013, methodology): “For this reason, we call the approach a semiMonte-Carlo simulation in contrast to the Monte-Carlo algorithm introduced by Elliott et al. (2007) which discretizes the regime-switching asset model.”
- A regime-switching Heston model for VIX and S&P 500 implied volatilities (2014, background): “Chan, Elliot and Siu (2007) and Chan et al. (2007) propose an extended Heston model, where the parameters in the volatility process are modulated by a Markov chain, and they analyse the pricing of variance swaps and other derivatives.”
- Pricing Options Under a Generalized Markov-Modulated Jump-Diffusion Model (2007, background): “[11] considered the pricing and hedging of variance swaps and volatility swaps under a Markov-modulated Heston’s stochastic volatility model.”