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2191 Results

Opaque Assets and Rollover Risk

Staff working paper 2016-17 Benjamin Nelson, Toni Ahnert
We model the asset-opacity choice of an intermediary subject to rollover risk in wholesale funding markets. Greater opacity means investors form more dispersed beliefs about an intermediary’s profitability.

Nowcasting Canadian Economic Activity in an Uncertain Environment

Staff discussion paper 2018-9 Tony Chernis, Rodrigo Sekkel
This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components.

Did U.S. Consumers Respond to the 2014–2015 Oil Price Shock? Evidence from the Consumer Expenditure Survey

Staff working paper 2018-13 Patrick Alexander, Louis Poirier
The impact of oil price shocks on the U.S. economy is a topic of considerable debate. In this paper, we examine the response of U.S. consumers to the 2014–2015 negative oil price shock using representative survey data from the Consumer Expenditure Survey.

The Distributional Effects of Conventional Monetary Policy and Quantitative Easing: Evidence from an Estimated DSGE Model

Staff working paper 2019-6 Stefan Hohberger, Romanos Priftis, Lukas Vogel
This paper compares the distributional effects of conventional monetary policy and quantitative easing (QE) within an estimated open-economy DSGE model of the euro area.

Occasionally Binding Constraints in Large Models: A Review of Solution Methods

Staff discussion paper 2021-5 Jonathan Swarbrick
Solving macroeconomic models is difficult. One challenge is the occasionally binding constraint of the zero lower bound on nominal interest rates. This paper reviews various ways to solve models that include this feature.

Estimating Systematic Risk Under Extremely Adverse Market Conditions

Staff working paper 2016-22 Maarten van Oordt, Chen Zhou
This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties.
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