Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

We present an object-oriented software framework allowing to specify, solve, and estimate nonlinear dynamic general equilibrium (DSGE) models. The implemented solution methods for finding the unknown policy function are the standard linearization around the deterministic steady state, and a...

We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids. The Smolyak operator underlying the sparse grids approach frees global approximation from the curse of dimensionality and we apply it to a Chebyshev approximation of the...

This paper extends the cross sectionally augmented panel unit root test proposed byPesaran (2007) to the case of a multifactor error structure. The basic idea is to exploitinformation regarding the unobserved factors that are shared by other time series in additionto the variable under...

We introduce new stylometry tools based on the sliced conditional compression complexity of literary texts which are inspired by the nearly optimal application of the incomputable Kolmogorov conditional complexity (and presumably approximates it). Whereas other stylometry tools can occasionally...

We introduce a multivariate multiplicative error model which is driven by componentspecific observation driven dynamics as well as a common latent autoregressive factor. The model is designed to explicitly account for (information driven) common factor dynamics as well as idiosyncratic effects...

The main aim of this paper is to compare the size and size-adjusted power prop-erties of four residual-based and one maximum-likelihood-based panel cointegrationtests with the help of Monte Carlo simulations. In this study the panel-rho, the group-rho, the panel-t, the group-t statistics of...

Die Dynamische Finanzanalyse (DFA) hat sich in den vergangenen Jahren zu einemwichtigen Instrument zur Analyse der Finanzlage eines Versicherungsunternehmens entwickelt.Trotz der zunehmenden Verbreitung der DFA in der Praxis und zahlreicher Abhandlungenin der wissenschaftlichen Literatur gibt es...

The aim of this paper is to study the influence of nonlinear dependencies on a nonlifeinsurers risk and return profile. To achieve this, we integrate several copulamodels in a dynamic financial analysis (DFA) framework and conduct numericaltests within a simulation study. We also test several...

Dynamic financial analysis (DFA) has become an important tool in analyzing thefinancial situation of insurance companies. Constant development and documentationof DFA tools has occurred during the last years. However, several questionsconcerning the implementation of DFA systems have not been...