The study proposes a multivariate unobserved components model in order to examine relationships at business cycle frequencies among macroeconomic variables. The series are decomposed into non-stationary trends, stationary cycles, and an irregular component. The co-movements among the particular...

The correlation between stock markets and interest rates has been discussed in numerous studies in the past, with differing results in terms of strength and direction of the relationship. This paper uses models of the multivariate GARCH type which allow for time-variability and regime changes in...

The paper investigates the extent to which the dollar/sterling exchange rate fluctuations affect coffee and cocoa futures prices on the London LIFFE and the New York CSCE by means of multivariate GARCH models - under the assumption that traders in perfectly competitive markets have equal access...

We estimate time series of option implied Probabilities of Default (PoDs) for 19 major US financial institutions from 2002 to 2012. These PoDs are estimated as mass points of entropy based risk neutral densities and subsequently corrected for maturity dependence. The obtained time series are...

We investigate the controversial issue whether unemployment is related to productivity growth in the long run, using U.S. data in a framework of infrequent mean shifts. Tests find (endogenously dated) shifts around 1974, 1986, and 1996, system techniques indicate that the shifts are common...

This paper analyzes the factors underlying the weakness of the euro. For this purpose, the framework advocated by Clarida and Gali (1994) is used. Within this model, three structural shocks drive the dynamics of the endogenous variables: aggregate supply shocks, aggregate spending shocks, and...

Recently, several institutions have increased their forecast horizons, and many institutions rely on their past forecast errors to estimate measures of forecast uncertainty. This work addresses the question how the latter estimation can be accomplished if there are only very few errors available...

We study dynamic panel data models where the long run outcome for a particular cross-section is affected by a weighted average of the outcomes in the other cross-sections. We show that imposing such a structure implies several cointegrating relationships that are nonlinear in the coefficients to...

We analyze the contribution of credit spread, house and stock price shocks to GDP growth in the US based on a Bayesian VAR with time-varying parameters estimated over 1958-2012. Our main findings are: (i) The contribution of financial shocks to GDP growth fluctuates from about 20 percent in...

This paper outlines a simple regression-based method to decompose the variance of an aggregate time series into the variance of its components, which is then applied to measure the relative contributions of productivity, hours per worker, and employment to cyclical output growth across a panel...