In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...

In many applications one is interested to detect certain (known) patterns in the mean of a process with smallest delay. Using an asymptotic framework which allows to capture that feature, we study a class of appropriate sequential nonparametric kernel procedures under local nonparametric...

In this paper we want to discuss macroscopic and microscopic properties of financial markets. By analyzing quantitatively a database consisting of 13 minute per minute recorded financial time series, we identify some macroscopic statistical properties of the corresponding markets, with a special...

Der vorliegende Beitrag zeigt verschiedene Möglichkeiten auf, um repräsentative Renditen für die Anlageklasse Immobilien berechnen zu können. Betrachtet werden Indizes auf der Basis (i) von regelmäßig bewerteter Immobilienportefeuilles, (ii) auf Basis von Markttransaktionen in Immobilien...

The Recent crises have seen very large spikes in asset price risk without dramatic shifts in fundamentals. We propose an explanation for these risk panics based on self-fulfilling shifts in risk made possible by a negative link between the current asset price and risk about the future asset...

We consider an alternative modelling approach to the mainstream DSGE paradigm, namely basically a Dynamic Stochastic General Disequilibrium model of continuous adjustment processes on interacting real and financial markets. We introduce heterogeneous capital gain expectations (chartists and...