We consider two semiparametric models for the weight function in a bias sample model. The object of our interest parametrizes the weight function, and it is either Euclidean or non Euclidean. One of the models discussed in this paper is motivated by the estimation the mixing distribution of...

The study looks at primary expenditure developments in the euro area, its three largest members and four "macro-imbalances" countries for the period 1999-2009. It compares actual expenditure trends with those that would have prevailed if countries had followed neutral policies based on...

The study looks at primary expenditure developments in the euro area, its three largest members and four “macro-imbalances” countries for the period 1999-2009. It compares actual expenditure trends with those that would have prevailed if countries had followed neutral policies based on...

Recent literature has emphasized that redistributive grant systems may tend to internalize fiscal externalities arising from tax competition. This paper further explores the conditions under which local grant systems enforced by the state government will enhance efficiency. A system of...

This paper proposes a rating methodology that is based on a non-linear classification method, the support vector machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to underlying statistical models and represent the results of...

The behaviour of market agents has always been extensively covered in the literature. Risk averse behaviour, described by von Neumann and Morgenstern (1944) via a concave utility function, is considered to be a cornerstone of classical economics. Agents prefer a fixed profit over uncertain...

We propose a new nonlinear classification method based on a Bayesian "sum-of-trees" model, the Bayesian Additive Classification Tree (BACT), which extends the Bayesian Additive Regression Tree (BART) method into the classification context. Like BART, the BACT is a Bayesian nonparametric additive...

Empirical studies have shown that a large number of financial asset returns exhibit fat tails and are often characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in market volatility, with significant impact on pricing and...

A great proportion of stock dynamics can be explained using publicly available information. The relationship between dynamics and public information may be of nonlinear character. In this paper we offer an approach to stock picking by employing so-called decision trees and applying them to XETRA...