This paper proposes the Shannon entropy as an appropriate one-dimensional measure of behavioural trading patterns in financial markets. The concept is applied to the illustrative example of algorithmic vs. non-algorithmic trading and empirical data from Deutsche Börse's electronic cash equity...

This paper uses data on currency options prices for the exchange rates of the three largest new EU member states Poland, Czech Republic and Hungary vis-à-vis the euro and the US dollar to estimate the risk-neutral density (RND) functions and the density interval bands. Analysing the RNDs, we...

This paper investigates the determinants of the default risk premia embedded in the European credit default swap spreads. Using a modified version of the intertemporal capital asset pricing model, we show that default risk premia represent compensation for bearing exposure to systematic risk and...

As the global banking crisis intensified in the fall of 2008, governments announced comprehensive rescue packages for financial institutions. In this paper, we put the joint response of euro area bank and sovereign CDS premia under the microscope. We find that the bank rescue packages led to a...

I investigate the effect of transparency on the borrowing costs of Emerging Markets Economies. Transparency is measured by whether or not the countries publish the IMF Article IV Staff report and the Reports on the Observance of Standards and Codes (ROSC). Using difference-in-difference...

We assess whether the euro had an impact first on the degree of integration of European financial markets, and, second, on the euro area term structure. We propose two methodologies to measure integration: one relies on time-varying GARCH correlations, and the other one on a regression...

We explore the macro/finance interface in the context of equity markets. In particular, using half a century of Livingston expected business conditions data we characterize directly the impact of expected business conditions on expected excess stock returns. Expected business conditions...

We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...