This study provides new evidence on the impact of climate physical risk (as measured by the Global Climate Risk Index (CRI) from Germanwatch) on stock market returns. Specifically, a panel model with fixed effects is estimated using annual data from 2007 to 2021 for a set of 65 countries as well...

This paper investigates whether and how the COVID-19 pandemic affects bank funding costs in China. We find a significantly positive relationship between the offering yields of negotiable certificates of deposit and banks’ pandemic exposure. The surge in bank funding costs is alleviated by...

Dass die Corona-Pandemie schwerwiegende Folgen für die europäische Wirtschaft haben wird, darüber sind sich Marktteilnehmer weitgehend einig. Schwierig ist jedoch vorherzusagen, wie lange diese Auswirkungen wirtschaftlich zu spüren sein werden. Die Erwartungen der Finanzmarktteilnehmer...

We characterize how risk evolves during a crisis. Using high-frequency data, we find that the first two principal components (PCs) of the covariance matrix of global asset returns experience large, sudden, and temporary spikes coinciding with well-known crises - Covid-19 pandemic, Global...

We combine a customized survey and randomized controlled trial (RCT) to study the effect of higher-order beliefs on U.S. retail investors' portfolio allocations. We find that investors' higher-order beliefs about stock market returns are correlated with but distinct from their first-order...

We document shifts in investor composition during quantitative tightening, which suggest that investors adjust their portfolios at different speeds. To understand its implications for bond valuation, we develop a general equilibrium model which highlights the dynamic interaction between...

This paper relates jumps in high frequency stock prices to firm-level, industry and macroeconomic news, in the form of machine-readable releases from Thomson Reuters News Analytics. We find that most relevant news, both idiosyncratic and systematic, lead quickly to price jumps, as market...

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...

While Machine Learning (ML) excels at predictive tasks, its inferential capacity is limited due to its complex non-parametric structure. This paper aims to elucidate the analytical behavior of ML through Interpretable Machine Learning (IML) in a real estate context. Using a hedonic ML approach...

Using a new database of consumers expectations, this paper examines the nature of house price forecasts across a select sample of European Union (EU) member states for the period 2020 to 2024. Across many EU countries, post Covid-19, house price increases have been apparent. Therefore,...