We propose a new multivariate GARCH model with Dynamic Conditional Correlations that extends previous models by admitting multivariate thresholds in conditional volatilitiesand correlations. The model estimation is feasible in large dimensions and the positive definiteness of the conditional...

We propose a multivariate nonparametric technique for generating reliable short-term historical yield curve scenarios and confidence intervals. The approach is based on a Functional Gradient Descent (FGD) estimation of the conditional mean vector and covariance matrix of a multivariate interest...

The following research is guided by the hypothesis that products chosen on a shopping trip in a supermarket can indicate the preference interdependenciesbetween different products or brands. The bundle chosen on the trip can be regarded as the result of a global utility function. More...

In high-dimensional data, one often seeks a few interesting low-dimensional projections that reveal important features of the data. Projection pursuit is a procedure for searching high-dimensional data for interesting low-dimensional projections via the optimization of a criterion function...

This article provides a comprehensive econometric analysis of factors driving aggregatemortality rates over time. It differs from previous studies in this field by simultaneouslyconsidering an extensive set of macroeconomic, socio-economic and ecological factors asexplanatory variables. Germany...

This paper estimates a trivariate two-factor conditional version of the Intertemporal CAPM of Merton (1973).