Inference for Lévy Driven Stochastic Volatility Models Via Adaptive Sequential Monte Carlo

  title={Inference for L{\'e}vy Driven Stochastic Volatility Models Via Adaptive Sequential Monte Carlo},
  author={Ajay Jasra and David A. Stephens and Arnaud Doucet and Theodoros Tsagaris},
In the following paper we investigate simulation and inference for a class Lévy driven stochastic volatility (SV) models. The model is comprised of a Heston type model ([22]) with an independent, additive, variance-Gamma process ([28]) in the returns equation. The infinite activity nature of the driving gamma process can capture the observed behaviour of many financial time series, and a discretized version, fit in a Bayesian manner, has been found to be very useful for modelling equity data… CONTINUE READING
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