This cumulative dissertation studies various approaches to improve stock market volatility forecasts based on nonlinearity and asymmetric dependence modeling as well as new innovative data sources. Studying multivariate dependence patterns using a vine copula approach and incorporating Google...

Two of the fastest growing frontiers in econometrics and quantitative finance are time series and financial econometrics. Significant theoretical contributions to financial econometrics have been made by experts in statistics, econometrics, mathematics, and time series analysis. The purpose of...

The thesis at hand includes three distinct essays that analyze economic issues related to liberalized electricity markets. In the first essay, the effects of capacity mechanisms on the market structure in electricity markets are investigated. We consider a model with dominant firms and a...

Western governments increasingly place more emphasis on non-income dimensions in measuring national well-being (e.g. the UK, France). Not only averages, but the characteristics of the whole distribution (e.g. inequalities) are taken into consideration. Commonly used data such as life...

In this work we are interested in identifying clusters of "positional equivalent" actors, i.e. actors who play a similar role in a system. In particular, we analyze weighted bipartite networks that describes the relationships between actors on one side and features or traits on the other,...

The dissertation consists of three self-contained essays, with a focus on empirical capital market research. The first essay "Time-Varying Conditional Market Returns: Is Variance or Tail-Risk Priced", empirically investigates the question whether there is a positive relationship between...

We propose and study a hierarchical dependence model. Its properties are analyzed and techniques for estimation and model selection are developed. For sampling, different methods are derived and evaluated. Furthermore, we consider two important types of financial risk: systemic and operational...

The paper constitutes an attempt at modelling the joint distribution of crop plant yields and prices in Poland. The main objective of the paper was to examine the usefulness of the copula function for the task and the selection of suitable marginal distributions. The fit of a joint distribution...

<Para ID="Par1">In this work we introduce a copula-based method for imputing missing data by using conditional density functions of the missing variables given the observed ones. In theory, such functions can be derived from the multivariate distribution of the variables of interest. In practice, it is very...</para>