Risk management technology applied to high dimensional portfolios needs simple and fast methods for calculation of Value-at-Risk (VaR). The multivariate normal framework provides a simple off-the-shelf methodology but lacks the heavy tailed distributional properties that are observed in data. A...

Stock picking is the field of financial analysis that is of particular interest for many professional investors and researchers. In this study stock picking is implemented via binary classification trees. Optimal tree size is believed to be the crucial factor in forecasting performance of the...

Does interacting product and labor market regulation alter the impact of immigration on wages of competing native workers? Focusing on the large, sudden and unanticipated wave of migration from East to West Germany after German reunification and allowing for endogenous immigration, we compare...

This paper analyzes a procurement setting with two identical firms and stochastic innovations. In contrast to the previous literature, I show that a procurer who cannot charge entry fees may prefer a fixed-prize tournament to a first-price auction since holding an auction may leave higher rents...

The relation between the ECB's main refinancing (MRO) rates and the money market is key for the monetary transmission process in the euro area. This paper investigates how money market rates respond to the new information revealed by MRO auctions. Our results confirm a stabilizing level...

We study experimentally the effect of bargaining power in sequential trading mechanisms that offer the possibility to trade at a fixed price before an auction. In the "Buy-It-Now" format, the seller offers a price prior to the auction; whereas in the "Sell-It-No" format, it is the buyer. Both...

In this paper, we review the most common specifications of discrete-time stochasticvolatility (SV) models and illustrate the major principles of corresponding MarkovChain Monte Carlo (MCMC) based statistical inference. We provide a hands-on approachwhich is easily implemented in empirical...

The purpose of this paper is to propose a new likelihood-based panel cointegration testin the presence of a linear time trend in the data generating process. This new test is an extensionof the likelihood ratio (LR) test of Saikkonen & L¨utkepohl (2000) for trend-adjusteddata to the panel data...

In this paper we analyse bootstrap procedures for systems cointegration tests with a prior adjustment for deterministic terms suggested by Saikkonen & Lütkepohl (2000b) and Saikkonen, Lütkepohl & Trenkler (2006). The asymptotic properties of the bootstrap test procedures are derived and their...

This paper investigates the finite sample properties of confidence intervals for structural vector error correction models (SVECMs) with long-run identifying restrictions on the impulse response functions. The simulation study compares methods that are frequently used in applied SVECM studies...