We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence as univariate function estimation. For the...

Electronic Commerce environments increasingly witness a conflict on the subject of e-privacy: While marketers want to maximize their customer knowledge and grasp the identity of their online users, consumers often want to stay anonymous and not reveal private information. The conflict suggests...

Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on multivariate GARCH models. These models assume that the variance of the innovation distribution follows a time dependent process conditional on information which is generated by...

Daily returns of financial assets are frequently found to exhibit positive autocorrelation at lag 1. When specifying a linear AR(l) conditional mean, one may ask how this predictability affects option prices. We investigate the dependence of option prices on autoregressive dynamics under...

This paper evaluates complementarities of labor market institutions and the business cycle in the context of a stochastic dynamic general equililbriurn model econorny. Matching between workers and vacancies with endogenous search intensity, Nash-bargained wages, payroll taxation, and...

The so-called 'Monday effect ' has been found for various stock markets of the world. The empirical finding that Monday returns are significantly smaller than returns measured for the remaining days of the week calls the efficiency hypothesis for pricing processes operating on stock markets into...