We study the characteristics of inflation targeting as a shock absorber, using quarterly data for a large panel of countries. To overcome an endogeneity problem between monetary regimes and the likelihood of crises, we propose to study large natural disasters. We find that inflation targeting...

This paper empirically assesses the effectiveness of the Bank of Canada's term Purchase and Resale Agreement (PRA) facility in reducing short-term bank funding pressures, as measured by the CDOR-OIS spread. It examines the behaviour of this spread around both term PRA announcement dates and term...

We present a model of central bank collateralized lending to study the optimal choice of the haircut policy. We show that a lending facility provides a bundle of two types of insurance: insurance against liquidity risk as well as insurance against downside risk of the collateral. Setting a...

This study examines foreign exchange intervention based on novel daily data covering 33 countries from 1995 to 2011. We find that intervention is widely used and a highly effective policy tool, with a success rate in excess of 80 percent under some criteria. The policy works very well in terms...

Combining the high-frequency multidimensional approach of Gürkaynak et al. (2005) with Greenbook measures of the Federal Reserve's information set as in Romer and Romer (2004), I propose a new method of constructing a monetary policy shock that occurs on Federal Reserve announcement days. I...

Should a central bank digital currency (CBDC) be issued? Should its design be cash- or depositlike? To answer these questions, we theoretically and quantitatively assess the effects of a CBDC on consumption, banking and welfare. Our model introduces new general equilibrium linkages across...

This paper evaluates the effects of forward guidance and large-scale asset purchases (LSAP) when the nominal interest rate reaches the zero lower bound. I investigate the effects of the two policies in a dynamic new Keynesian model with financial frictions adapted from Gertler and Karadi (2011,...

We measure soft information contained in the congressional testimonies of U.S. Federal Reserve Chairs and analyze its effect on financial markets. Our measures of Fed Chairs' emotions expressed in words, voice and facial expressions are created using machine learning. Increases in the Chair's...

We use a simple model to study whether private payment systems based on bank deposits can provide the optimal level of safety. In the model, bank deposits backed by projects are subject to default risk that can be mitigated by a depositor's ex ante and ex post monitoring. Safe payment...