The analysis of the conditions under which, and extent to which climate-adjusted financial risk assessment affects firms' investment decisions in the low-carbon transition, and the realisation of the climate mitigation trajectories, still represent a knowledge gap. Filling this gap is crucial to...

This paper studies the impact of voluntary climate commitments by banks on their lending activity. We use administrative data on the universe of bank lending from 19 European countries. There is strong selection into commitments, with increased participation by the largest banks and banks with...

Do female directors on banks' boards influence lending decisions toward less polluting firms? By using granular credit register data matched with information on firm-level greenhouse gas (GHG) emission intensities, we isolate credit supply shifts and find that banks with more gender-diverse...

The green bond market has increased rapidly in recent years amid growing concerns about climate change and wider environmental issues. However, whether green bonds provide cheaper funding to issuers by trading at a premium, so-called greenium, is still an open discussion. This paper provides...

To measure contagion empirically, we propose using a Bayesian time-varying coefficient model estimated with Markov ChainMonte Carlo methods. The proposed measure works in the joint presence of heteroskedasticity and omitted variables and does not require knowledge of the timing of the crisis. It...

Structural VARs have been extensively used in empirical macroeconomics during the last two decades, particularly in analyses of monetary policy. Existing Bayesian procedures for structural VARs are at best confined to a severly limited handling of cointegration restrictions. This paper extends...

This paper examines the properties of G-7 cycles using a multicountry Bayesian panel VAR model with time variations, unit specific dynamics and cross country interdependences. We demonstrate the presence of a significant world cycle and show that country specific indicators play a much smaller...

We apply both classical and Bayesian econometric methods to characterize the dynamic behavior of inflation for twelve industrial countries over the period 1984-2003, using four different price indices for each country. In particular, we estimate a univariate autoregressive (AR) model for each...

In this paper we investigate whether the forecast of the HICP components (indirect approach) improves upon the forecast of overall HICP (direct approach) and whether the aggregation of country forecasts improves upon the forecast of the euro-area as a whole, considering the four largest euro...

We propose a benchmark prior for the estimation of vector autoregressions: a prior about initial growth rates of the modeled series. We first show that the Bayesian vs frequentist small sample bias controversy is driven by different default initial conditions. These initial conditions are...