We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

According to our survey about climate risk perceptions, institutional investors believe climate risks have financial implications for their portfolio firms and that these risks, particularly regulatory risks, already have begun to materialize. Many of the investors, especially the long-term,...

Given ambiguity concerning the effects of disclosure on firm value and markets, we examine the question of whether investors value carbon risk disclosure. Through a survey and empirical tests, we conclude that many institutional investors consider climate risk reporting to be as important as...

Treating the Russian invasion of Ukraine as a rare disaster event and defining proximity as both physical distance and political closeness, we analyze investors’ response to disaster risk by examining the performance of commercial real estate investments in countries of proximity to the event....

This paper determines the value of asset tradeability in an option pricing framework. In our model, tradeability is valuable since it allows investors to exploit temporary mis-pricings of stocks. The model delivers several novel insights on the value of tradeability: The value of tradeability is...

The aim of this paper is to investigate long-term portfolio management in a fully structural macro- financial framework. First, we estimate a Dynamic Stochastic General Equilibrium (DSGE) model that describes the dynamic of the US economy and financial markets. In addition to the typical...

In the aftermath of the U.S. financial crisis, both a sharp drop in employment and a surge in corporate cash have been observed. In this paper, based on U.S. data, we document that the negative relationship between the corporate cash ratio and employment is systematic, both over time and across...

We propose an affi ne two-factor model for the pricing of single-tranche collateralized debt obligations by following the general top-down framework introduced in Filipovic et al. [2011]. Apart from being analytically tractable, this model has the feature that it incorporates a catastrophic risk...

Evidence suggests that banks tend to lend a lot during booms, and very little during recessions. We propose a simple explanation for this phenomenon. We show that, instead of dampening productivity shocks, the banking sector tends to exacerbate them, leading to excessive fluctuations of credit,...

We build a macroeconomic model for Switzerland, the Euro Area, and the USA that drives the dynamics of several asset classes and the liabilities of a representative Swiss (defined-contribution) pension fund. This encompassing approach allows us to generate correlations between returns on assets...