New method ensures accurate prediction of time-varying parameters in financial models.
The article shows how to accurately estimate changing parameters in models using a method called maximum likelihood estimation. It proves that this method is reliable and works well even when the model is not perfectly specified. The researchers also demonstrate this with a specific example involving a model for volatility that includes data from the Student's t distribution.