This paper illustrates the Support Vector Method for the classification problem with two and more classes. In particular, the multi-class classification Support Vector Method of Weston and Watkins (1998) is correctly formulated as a quadratic optimization problem. Then, the method is applied to...

When comparing methods for classification, often the rating relies on their prediction accuracy alone. One reason for this is that this is the aspect that can be most easily measured. Yet, often one wants to learn more about the problem than only how to predict. The interpretation of the...

Aufgrund der einzel- und gesamtwirtschaftlichen Relevanz von Zinsänderungen ist das Interesse an Zinsprognosen traditionell sehr groß. Dennoch finden sich in der wissenschaftlichen Literatur nur relativ wenige Studien, welche die Prognosegüte ökonometrischer Verfahren "out of sample"...

In this study, we apply a rolling window approach to wavelet-filtered (denoised) S&P500 returns (2000–2020) to obtain time varying Hurst exponents. We analyse the dynamics of the Hurst exponents by applying statistical tests (e.g., for stationarity, Gaussianity and self-similarity), a...