A long tradition in macro finance studies the joint dynamics of aggregate stock returns and dividends using vector autoregressions (VARs), imposing the cross-equation restrictions implied by the Campbell-Shiller (CS) identity to sharpen inference. We take a Bayesian perspective and develop...

The adoption of takeover protections, from the empirical side, has been focused to find supporting evidence to the entrenchment hypothesis or to the shareholder value hypothesis. The expected result is a negative impact on shareholder wealth when decisions for additional takeover defenses are...

Die Transmission monetärer Impulse auf zunehmend integrierten Finanzmärkten ist von herausragender Bedeutung für die Zentralbanken. Falls die starke Ausweitung der Liquidität in den letzten Jahren zu den Preisübertreibungen an den Finanzmärkten beigetragen hat, könnte die Einbeziehung von...

We study price efficiency and trading behavior in laboratory limit order markets with asymmetrically informed traders. Markets differ in the number of insiders present and in the subset of traders who receive information about the number of insiders present. We observe that price efficiency (i)...

In diesem Aufsatz wird die nichtparametrische Autoregression auf die Prognose von Quantilen angewendet. Verfahren der Kernregression werden benutzt, um zu autoregressiven Quantiisschätzern zu gelangen. Da die üblichen Maße zur Beurteilung der Prognose, wie etwa der mittlere quadratische...

Reliable estimates of variances and covariances are crucial for portfolio management and risk controlling. This paper investigates alternative methods to estimate time varying variance-covariance matrices: ordinary estimates and exponentially weighted moving averages in comparison to Markov...

This paper reexamines the Equity Premium Puzzle for the German stock market with control for inflation and taxation. Two methods for relaxing the assumption of aggregate consumption being equal to aggregate dividends are compared: the leverage approach and the usage of a bivariate stochastic...