Introduction to high frequency financial modelling -- Intra-day realized volatility measures -- Methods of volatility estimation and forecasting -- Multiple model comparison and hypothesis framework construction -- Realized volatility forecasting - applications -- Recent methods: a review --...

State space models play a key role in the estimation of time-varying sensitivities in financial markets. The objective of this book is to analyze the relative merits of modern time series techniques, such as Markov regime switching and the Kalman filter, to model structural changes in the...

Semiparametrische Volatilitätsmodelle -- Hochfrequente und Ultra-Hochfrequente Finanzdaten -- Berechnung des Value-at-Risk auf Grundlage parametrischer und semiparametrischer Modelle -- Analyse von Handelswartezeiten -- Glättung der Volatilität von hochfrequenten Finanzdaten in einem...