This paper uses sovereign CDS spread changes and their volatilities as a proxy for the informational efficiency of the sovereign markets and persistency of country risks. Specifically, we apply semi-parametric and parametric methods to the sovereign CDSs of 10 eurozone countries to test the...

In times of financial distress, central banks provide unlimited liquidity to avoid fire sales. In response, banks raise their demand for collateral assets, and the short-term scarcity of collateral securities leads to higher prices, the Fire Buy premium. To avoid collateral scarcity, central...

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...

This paper examines the investment behavior in debt securities across financial institutions with a particular focus on how they respond to price changes. For identification, we use security-level data from the German Microdatabase Securities Holdings Statistics. Our results suggest that banks...

This paper provides evidence of deliberate private-information disclosure within banks’ international business networks. Using supervisory trade-level data, we show that banks with closer ties to a target advisor in a takeover buy more stocks of the target firm prior to the deal announcement,...

Recent research provides controversial evidence on the stability of yield-curve based binary probit models for forecasting U.S. recessions. This paper reviews so far applied specifications and presents new procedures for examining the stability of selected probit models. It finds that a...

Various papers indicate that the yield-curve has superior predictive power for U.S. recessions. However, there is controversial evidence on the stability of the predictive relationship and it has remained unclear how the persistence of the underlying binary recession indicator should be taken...

We apply the boosting estimation method to investigate to what ex-tent and at what horizons macroeconomic time series have nonlinearpredictability coming from their own history. Our results indicate thatthe U.S. macroeconomic time series have more exploitable nonlinearpredictability than...

We use the gradient boosting estimation technique and the ROC curveto non-parametrically measure and exploit the maximal predictive powerof leading indicators for the future state of the business cycle. We de-velop novel procedures for finding the best performing transformationsof individual...

We examine how the occurrence of natural disasters impact the US economy and financial markets using monthly data since 2000. Our analysis reveals large sustained adverse effects of disasters on overall economic activity, with significant implications across various sectors including labor,...