This paper explores the role of green innovation in attracting venture capital (VC) financing. We use a unique dataset that matches information on VC transactions, companies' balance sheet variables and data on patented innovation at the firm level over the period 2008-2017. Taking advance of a...

This paper studies the evolution of the greenium, i.e. a risk premium linked to firms' greenness and environmental transparency, based on individual stock returns. We estimate an asset pricing model with time-varying risk premia, where the greenium is associated to a priced 'greenness and...

How financial investors may react to policy events related to sustainability and climate change mitigation in particular, is a key question with implications for sustainable finance and financial stability. We address this question by carrying out a multi-period difference-in-difference approach...

We develop the first top-down method to estimate the greenness of financial portfolios, in terms of alignment to the EU Taxonomy for sustainable activities. We also develop a method to estimate, at the same time, the portfolio exposure to climate transition risk. We provide sector-level,...

This study investigates the extent to which diplomatic relations affected merger and acquisition (M&A) activities in the European Union during the years 2001- 2019. Implementing a gravity model, we find a U-inverted relationship between diplomatic distance and M&A activities: (i) a worsening in...

We assess the role played by exchange rates in buffering or amplifying the propagation of shocks across international equity markets. Using copula functions we model the joint dependence between exchange rates and two global equity markets and, from a copula framework, we obtain the conditional...

This study empirically investigates the extent to which firms in the European Union, once acquired through a cross-border acquisition, show different productivity levels as compared to those firms that have not been acquired. Our identification strategy relies on the combination of Propensity...

This paper develops Bayesian econometric methods for posterior inference in non-parametric mixed frequency VARs using additive regression trees. We argue that regression tree models are ideally suited for macroeconomic nowcasting in the face of extreme observations, for instance those produced...

This paper proposes a piecewise-linear Kalman filter (PKF) to estimate DSGE models with occasionally binding constraints. This method expands the set of models suitable for nonlinear estimation. It straightforwardly handles missing data, non-singularity (more shocks than observed time series),...

Using data on institutional investors' bond holdings, we investigate the resilience of green bonds to the COVID-19 shock in a difference-in-differences framework. We find that during the COVID outbreak green bonds experience lower sales, on average, while in normal times no significant...