Optimal adaptive sequential calibration of option models
Option models needs to be recalibrated as new data becomes available. The updated model parameters will depend on previous parameters and new data, making adaptive sequential calibration a suitable choice. We introduce a method for optimally tuning the parameter adaptivity when non-linear filters are used for calibration, as well as extending the dynamics of the parameters. The adaptivity is optim