Central banks

Adaptation needs are vast, rising fast and difficult to determine in their entirety, especially with uncertain adverse scenarios due to climate inertia and implementation lags. Adaptation is hindered by a lack of a unified understanding of what it necessitates; the challenge in pointing out its costs, benefits, and residual risks; insufficiently prescriptive policy and legal frameworks; and the growing financing gap.

We provide a versatile nowcasting toolbox that supports three model classes (dynamic factor models, large Bayesian VAR, bridge equations) and offers methods to manage data selection and adjust for Covid-19 observations. The toolbox aims at simplifying two key tasks: creating new nowcasting models and improving the policy analysis. For model creation, the toolbox automatizes testing input variables, assessing model accuracy, and checking robustness to the Covid period.

The latest meeting of the Standards Advisory Panel (SAP)

Joachim Jungherr, Matthias Meier, Timo Reinelt, and Immo SchottWe provide novel empirical evidence that firms’ investment is more responsive to monetary policy when a higher fraction of their debt matures. In a heterogeneous firm New Keynesian model with financial frictions and endogenous debt maturity, two channels explain this finding: (1.) Firms with more maturing debt have larger roll-over needs and are therefore more exposed to fluctuations in the real interest rate (roll-over risk).