The Reversible Jump Markov Chain Monte Carlo (RJMCMC) method can enhance Bayesian DSGE estimation by sampling from a posterior distribution spanning potentially nonnested models with parameter spaces of different dimensionality. We use the method to jointly sample from an ARMA process of unknown...

Multiplicative error models (MEM) became a standard tool for modeling conditional durations of intraday transactions, realized volatilities and trading volumes. The parametric estimation of the corresponding multivariate model, the so-called vector MEM (VMEM), requires a specification of the...

This paper analyses mutual causalities between crude oil price and euro / US dollar exchange rate. Instead of focusing on long-run macroeconomic linkages like the bulk of the relevant literature, the present approach takes a financial markets perspective using daily data. The fast-running...

Past empirical research on monetary policy in open economies has found evidence of the ’delayed overshooting’, the ’forward discount’ and the ’exchange rate’ puzzles. We revisit the effects of monetary policy on exchange rates by applying Uhlig’s (2005) identification procedure...

This paper demonstrates effects of economic convergence processes on the foreign exchange behaviour in a monetary modelling approach. Since the exchange rate represents the relative price of two currencies, commonness of stochastic trends between the fundamental determinants of supply and demand...

This paper investigates the capital market relations between Euroland and the USA from 1990 until 2006. Formally based on the uncovered interest rate parity (UIP), backward recursive estimations establish a long-run equilibrium between European and US government bond yields. Since the mid-1990s...

A system of U.S. and euro area short- and long-term interest rates is analyzed. According to the expectations hypothesis of the term structure the interest rate spreads should be stationary and according to the uncovered interest rate parity the difference between the U.S. and euro area longterm...

Integrated choice and latent variable (ICLV) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, to date applications of ICLV models in marketing are still rare. The...

Traditional choice models assume that observable behavior results from an unspecified evaluation process of the observed individual. When it comes to the revelation of this process mere choice models rapidly meet their boundaries, as psychological factors (e.g., consumers’ perception or...

A flexible statistical approach for the analysis of time-varying dynamics of transaction data on financial markets is here applied to intra-day trading strategies. A local adaptive technique is used to successfully predict financial time series, i.e., the buyer and the seller-initiated trading...