After the occurrence of a natural disaster, the reconstruction can be financed with catastrophic bonds (CAT bonds) or reinsurance. For insurers, reinsurers and other corporations CAT bonds provide multi year protection without the credit risk present in reinsurance. For investors CAT bonds offer...

Diese Arbeit untersucht die Anwendung von Support Vektor Machines (SVMs) zur Vorhersage der Insolvenz von deutschen Unternehmen. Die Vorhersage basiert auf 24 finanziellen Kennzahlen, die in vier Kategorien unterteilt sind: Profitabilität, Fremdfinanzierung, Liquidität und Aktivität. SVMs...

Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. There is a lot of research evidence supporting the fact that stock returns can effectively be forecasted. While various modeling techniques could be employed for stock...

This thesis presents and compares the performance of two recently developed classification methods namely the Spatial Stagewise Aggregation procedure and Support Vector Machines. Both techniques are convenient for the application to corporate bankruptcy analysis, in terms of calculation of...

Implied volatility is one of the important topics in financial markets. Due to option data's characteristics, estimating implied volatility is a challenging task for both academia and industry. Dynamic Semiparametric Factor Model (DSFM) is method to model high-dimensional data with dynamic...

A comprehensive statistical analysis of return processes on the German and British stock market was carried out. Empirically, data for 40 selected companies and two market performance indices were collected for the period of ten years. The analysis shows that in the period under review the...