Smets and Wouters () find that at short- and medium-term horizons stochastic variations in the goods market mark-up are the most important source of inflation variability in the euro area. This article shows that an empirically plausible alternative interpretation is that the estimated price...

We prove an anticipative sufficient stochastic minimum principle in a jump process setup with initially enlarged filtrations. We apply the result to several portfolio selection problems like mean and minimal variance hedging under enlarged filtrations. We also investigate utility maximizing...

This article compares portfolio selection based on the downside risk sensitivity with portfolio selection based on Sharpe or Treynor ratios. Downside risk sensitivity (DRS) is given by an asset pricing model in which the downside and upside market returns are separated variables relative to...

In this paper, we develop an analytical framework for conducting forward-looking assessments of profitability and solvency of the main euro area insurance sectors. We model the balance sheet of an insurance company encompassing both life and non-life business and we calibrate it using country...

In this paper, we develop an analytical framework for conducting forward-looking assessments of profitability and solvency of the main euro area insurance sectors. We model the balance sheet of an insurance company encompassing both life and non-life business and we calibrate it using country...

In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into firm level competitiveness in Europe. We differ from standard TFP studies at the firm level as we simultaneously allow for inefficiency, noise and do not impose a functional form on the input-output...

This paper builds and implements a multifactor stochastic volatility model for the latent (and observable) volatility from the quarter and year forward contracts at the NASDAQ OMX Commodity Exchanges, applying Bayesian Markov chain Monte Carlo simulation methodologies for estimation, inference,...