We first describe the likelihood of the commonly used variance components model, for example as in Amos. 5 Since the total likelihood is a product of likelihood over all the families under study, we ...

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There are several approaches to dealing with heteroscedasticity. If the error variance at different times is known, weighted regression is a good method. If, as is ...

We develop analytical methodology for pricing and hedging options on the realized variance under the Heston stochastic variance model (1993) augmented with jumps in asset returns and variance. By ...