This chapter evaluates the most important theoretical developments in ARCH type modeling of time-varying conditional variances. The coverage include the specification of univariate parametric ARCH models, general inference procedures, conditions for stationarity and ergodicity, continuous time...

The realization among econometricians and applied economists that seasonal variation in many time series is often larger and less regular than has been supposed, has recently led to an increased interest in seriously modelling seasonality. The relative size of seasonal variation also means that...

This paper presents a new framework for coping with problems often encountered when modeling seasonal high frequency data containing both flow and stock variables. The idea is to apply a multivariate weekly representation of a daily periodic model and to exploit the possible cointegration and...