Stochastic Volatility Models with Long Memory
In this contribution, we consider models in discrete time that contain a latent process for volatility. The most well-known model of this type is the Long-Memory Stochastic Volatility (LMSV) model. We describe its main properties, discuss parametric and semiparametric estimation for these models, and give some generalizations and applications.
KeywordsAsymptotic Normality Stochastic Volatility Preconditioned Conjugate Gradient Stochastic Volatility Model Absolute Return
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