We introduce a long memory autoregressive conditional Poisson (LMACP) model to model highly persistent time series of counts. The model is applied to forecast quoted bid-ask spreads, a key parameter in stock trading operations. It is shown that the LMACP nicely captures salient features of...

Monetary search theory implies that the real effects of inflation via its impact on price dispersion depend on the level of search costs and, thus, on the level of market integration. For less integrated markets, the inflation-price dispersion nexus is predicted to be asymmetrically V-shaped...

This paper assesses empirically the hypotheses by Bental and Demougin (2010) that innovations in ICT (Information and Communication Technology) reduce the labor share in OECD countries by improving the monitoring technology. In a first step, I show that data trends for the labor share, wages in...

Recent studies proposed news about future technology growth as the main driver of macroeconomic fluctuations. The identification of these news through stock prices in SVARs has been criticized in the past. Therefore, I propose a series of experiments to test that hypothesis by examining its...

Forecasting based pricing of Weather Derivatives (WDs) is a new approach in valuation of contingent claims on nontradable underlyings. Standard techniques are based on historical weather data. Forward-looking information such as meteorological forecasts or the implied market price of risk (MPR)...

This paper investigates why financial market experts misperceive the interest rate policy of the European Central Bank (ECB). Assuming a Taylor-rule-type reaction function of the ECB, we use qualitative survey data on expectations about the future interest rate, inflation, and output to discover...

This paper proposes a spatial panel model for German matching functions to avoid possibly biased and inefficient estimates due to spatial dependence. We provide empirical evidence for the presence of spatial dependencies in matching data. Based on an official data set containing monthly...

Herd behavior is often viewed as a significant threat for the stability and effciency of financial markets. This paper sheds new light on the relevance of herd behavior for observed correlation of trades. We introduce numerical simulations of a herd model to derive theory-guided predictions...

Using a Dynamic Semiparametric Factor Model (DSFM) we investigate the term structure of interest rates. The proposed methodology is applied to monthly interest rates for four southern European countries: Greece, Italy, Portugal and Spain from the introduction of the Euro to the recent European...

We examine monthly variation in weekly work hours using data for 2003-10 from the Current Population Survey (CPS) on hours/worker, from the Current Employment Survey (CES) on hours/job, and from the American Time Use Survey (ATUS) on both. The ATUS data minimize recall difficulties and constrain...