We apply Bayesian Model Averaging and a frequentistic model space analysis to assess the pricing-determinants of credit default swaps (CDS). Our study focuses on the complete model space of plausible models covering most of the variables and specifications used elsewhere in the literature,...

During the global financial crisis, stressed market conditions led to skyrocketing corporate bond spreads that could not be explained by conventional modeling approaches. This paper builds on this observation and sheds light on time-variations in the relationship between systematic risk factors...

We study the intraday interest rate in a CCP-based GC pooling repo market and its key determinants. Since collateral used in this market is identical to collateral eligible for the daylight overdraft facility of the Eurosystem, any intraday rate in this market cannot be a result of collateral...

Our results uncover a so far undocumented ability of the interbank market to distinguish between banks of different quality in times of aggregate distress. We show empirical evidence that during the 2007 financial crisis the inability of some banks to roll over their interbank debt was not due...

Recent regulatory initiatives such as the European Deposit Insurance Scheme propose a change in the coverage and backing of deposit insurances. An assessment of these proposals requires a thorough understanding of what drives depositors' withdrawal decisions. We show that Google searches for...

This paper analyses the impact of financial frictions on markup adjustments at the firm level. We use a rich panel data set that matches information on banking relationships with firm-level data. By relying on insights from recent contributions in the literature, we obtain exogenous credit...

Directed links in cash flow networks affect the cross-section of price exposures and market prices of risk in equilibrium. In an asset pricing model featuring mutually exciting jumps, we measure directedness through an asset's shock propagation capacity (spc). In the model, we prove: (i) Cash...

This paper uses the method developed by Bollerslev and Todorov (2011b) to estimate risk premia for extreme events for the US and the German stock markets. The method extracts jump tail measures from high-frequency futures price data and from options data. In a second step, jump tail...

In this work, I study the impact of high-frequency trading (HFT) on price discovery and volatility in the Bund futures market. Using a new dataset based on microseconds, the focus of the study is on the reaction of high-frequency traders (HFTs) to major macroeconomic news events. I show that...

This paper uses regulatory data to assess the value of retail order flow in the German equity market. To this end, we examine the performance of specialized retail market makers (RMMs) that internalize a large share of retail activity via affiliated trading venues. We show that retail market...