This work deals with a generalization of the Total Least Squaresmethod in the context of the functional linear model. We first propose asmoothing splines estimator of the functional coefficient of the model withoutnoise in the covariates and we obtain an asymptotic result for this...

This paper introduces a special kind of multi-depot pickup and delivery problem. In contrast to the general pickup and delivery problem (GPDP, see e.g. [19,31]) all requests have to be picked up at or delivered to one central location which has the function of a hub or consolidation point. In...

In this paper we question the consensus of using a binary crisisdefinition for empirical crisis models. We believe that the most severeshortcomings of the crisis models today are in the crisis definition rather than the explanatory variables ...

This study explores the information content of HML and SMB by linking the Fama-French factors toshocks in the state variables which predict future investment opportunities. It shows that the HMLfactor contains information about shocks to default spread. Moreover, the Fama-French modelexplains...

Most approaches to multi-project scheduling are based on the assumption that resources can betransferred between projects without any expense in time and cost. As this assumption often isnot realistic, we generalise the multi-project scheduling problem (RCMPSP) by additionallyincluding transfer...

We consider the problem of scheduling multiple projects subject to joint resource constraints.All approaches proposed in the literature so far are based on the assumption that resources canbe transferred from one project to the other without any expense in time or cost. In many realworldsettings...

In der Modelldiskussion haben sich zwei grundlegende Strömungen herausgebildet, die in diesem Beitrag als Passivistische Abbildungsthese und Aktivistische Konstruktionsthese bezeichnet werden.Der vorliegende Beitrag nimmt die Position der Passivistischen Abbildungsthese als Ausgangspunkt der...

In recent years, support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a...

We use dynamic panel analysis to examine whether credit rating agencies achieve what they claim to achieve, namely, look into the future when assigning their ratings. We find that Moodey's ratings help predict individual financial ratios over a horizon of up to five years. Ratings also predict a...