This paper presents theoretical models and their empirical results for the return and variance dynamics of German stocks. A factor structure is used in order to allow for a parsimonious modeling of the first two moments of returns. Dynamic factor models with GARCH dynamics (GARCH(1,1)-M,...

In this paper we examine small sample properties of a generalized method of moments (GMM) estimation using Monte Carlo simulations. We assume that the generated time series describe the stochastic variance rate of a stock index. We use a mean reverting square-root prooess to simulate the...

The topic of this paper is the estimation uncertainty of the Stock-Watsonand Gonzalo-Granger permanent-transitory decompositions in the frameworkof the cointegrated vector-autoregression. Specifically, we suggest an approach to construct the confidence interval of the transitory component in...

We study the sustainability of sovereign debt accumulation in 15 OECD countries using quarterly data from 1980 to 2010 with a focus on how and in what countries debt sustainability changed after the commencement of the Euro Convergence Criteria in 1997 as well as after the financial meltdown in...

Potential output is an elusive concept. This stands in sharp contrast to its prominent role in economic analysis. In particular, monetary targetting as practised by the Deutsche Bundesbank relies on an estimate of future potential output growth. Different approaches usually lead to fairly...

Die vorliegende Arbeit stellt das neue Verfahren der Deutschen Bundesbank zur Schätzung von Zinsstrukturkurven vor. Sie beschreibt dessen methodische Grundlagen (Nelson und Siegel (1987) und Svensson (1994)) und einige grundlegende Konzepte, die ftir die Schätzung und Interpretation solcher...

This paper introduces the Deutsche Bundesbank's new procedure for estimating the term structure of interest rates. It describes the basic methodological approaches used (Nelson and Siegel (1987) and Svensson (1994)) and some fundamental concepts which are important for estimating and...

We propose the relaxation algorithm as a simple and powerful method for simulating the transition process in growth models. This method has a number of important advantages: (1) It can easily deal with a wide range of dynamic systems including multi-dimensional systems with stable eigenvalues...

We propose a new regression method to estimate the impact of explanatory variables on quantiles of the unconditional distribution of an outcome variable. The proposed method consists of running a regression of the (recentered) influence function (RIF) of the unconditional quantile on the...