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2011
DOI: 10.1016/j.cam.2010.10.024
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FFT based option pricing under a mean reverting process with stochastic volatility and jumps

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Cited by 39 publications
(26 citation statements)
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“…When fC 1 ; C 2 g ¼ f0; 1g, the price dynamic is a MRSVJ process similar to Pillay and O'Hara (2011). The jumps in the model handle abrupt changes in the spot log price that happen due to supply and demand shocks in the commodity market.…”
Section: The General-form Affine Styled-facts Dynamicsmentioning
confidence: 98%
See 2 more Smart Citations
“…When fC 1 ; C 2 g ¼ f0; 1g, the price dynamic is a MRSVJ process similar to Pillay and O'Hara (2011). The jumps in the model handle abrupt changes in the spot log price that happen due to supply and demand shocks in the commodity market.…”
Section: The General-form Affine Styled-facts Dynamicsmentioning
confidence: 98%
“…For this study, we specify a general form for affine styled-fact price dynamics that allows for mean reversion dynamics of Wong andLo (2009), Pillay andO'Hara (2011) and seasonality.…”
Section: Preliminariesmentioning
confidence: 99%
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“…Elliot, Sui and Chan [17] present change in volatility as a switching Markov process with the transition accomplished through an Esscher transformation. Both Thavaneswaran and Singh (TS) [18,19] and Pillay and O'Hara's [20] (PH) incorporate the lognormal distribution. TS has a jump diffusion model with stochastic volatility, where the expiration price is a moment of a truncated log-normal distribution and PH has the stock price follow a mean reverting log-normal process with stochastic diffusion and jumps and the option's price determine by fast Fourier transformation methodology.…”
Section: Introductionmentioning
confidence: 99%
“…In general, it is an asset model, which shows that the asset price tends to fall (or rise) after hitting a maximum (or minimum). The process of mean reversion is a lognormal diffusion, but the variance does not growing in proportion to the time interval (Pillay and O'Hare, 2011). The variance grows at the start and sometimes it stabilises at a certain value.…”
Section: Background On Mean Reversion and Coefficient Of Variancementioning
confidence: 99%