Michael Schröder (Hrsg.) Basistechniken, Fortgeschrittene Verfahren, Prognosemodelle 2., überarbeitete Auflage 2012 Schäffer-Poeschel Verlag Stuttgart IX Inhaltsübersicht Vorwort zur zweiten Auflage ...

In the framework of small-scale agent-based financial market models, the paper starts out from the concept of structural stochastic volatility, which derives from different noise levels in the demand of fundamentalists and chartists and the time-varying market shares of the two groups. It...

In this paper a flexible model for correlation in high frequency data is proposed, which maintains the data's discrete nature and captures features such as asymmetry and excess zeros. The model uses an a theoretical approach based on that of an ARIMA model. This model works with price changes...

Simulations of a model pension scheme are run with stochastic economic and demographic factors, with an aim to investigate the impact of these factors on movements in funding ratio and average contribution rates. These impacts are analyzed by running regressions of movements in funding ratio and...

This paper investigates the use of price intensities to estimate volatilities based on high-frequency data. We interpret the conditional probability for the occurrence of a price event within a certain time horizon as a risk measure which allows us to obtain an estimator of the conditional...