Asymmetric Observation Errors in Optimal Control of Stochastic Quadratic Linear Systems and Application to Modelling Volatility
AbstractThe case of partial observations with asymmetric errors (non-Gaussian) in dynamic systems is studied and an approximation for the solution is given. Controlled quadratic linear dynamic systems are considered. We also consider the situation with outliers, and a robust approximation for this case is proposed. This methodology could be used to represent the dynamic properties of financial time series when one wishes to estimate the unobserved volatility of the series.
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 1999 with number 231.
Date of creation: 01 Mar 1999
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