Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

3045 Results

Following the Money: Evidence for the Portfolio Balance Channel of Quantitative Easing

Staff Working Paper 2018-33 Itay Goldstein, Jonathan Witmer, Jing Yang
Recent research suggests that quantitative easing (QE) may affect a broad range of asset prices through a portfolio balance channel. Using novel security-level holding data of individual US mutual funds, we establish evidence that portfolio rebalancing occurred both within and across funds.

On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment

Staff Working Paper 2010-10 Nikita Perevalov, Philipp Maier
The good forecasting performance of factor models has been well documented in the literature. While many studies focus on a very limited set of variables (typically GDP and inflation), this study evaluates forecasting performance at disaggregated levels to examine the source of the improved forecasting accuracy, relative to a simple autoregressive model. We use the latest revision of over 100 U.S. time series over the period 1974-2009 (monthly and quarterly data).
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47

Fiscal Policy in the Age of COVID-19: Does It “Get in All of the Cracks”?

The COVID-19 pandemic has caused an atypical recession in which some sectors of the economy boomed and others collapsed. This required a unique fiscal policy reaction to both support firms and stimulate activity in sectors with slack. Was fiscal policy able to get where it was needed? Mostly, yes.

Non-linéarité de la courbe de Phillips : un survol de la littérature

Staff Analytical Note 2018-3 Renaud St-Cyr
The paper reviews evidence from the economic literature on the nature of the relationship between excess capacity and inflation, better known as the Phillips curve. In particular, we examine the linearity of this relationship. This is an important issue in the current economic context in which advanced economies are approaching or exceed their potential output.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): Inflation and prices, International topics JEL Code(s): E, E3, E31, E32
November 14, 2013

Assessing Financial System Vulnerabilities: An Early Warning Approach

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

Consumer Attitudes, Uncertainty, and Consumer Spending

Staff Working Paper 1998-16 Denise Côté, Marianne Johnson
This study examines the link between consumer expenditures and the Conference Board's Index of Consumer Attitudes, an index highly regarded for some time as a useful leading indicator of consumer expenditures. However, the theory that identifies why it may be useful in an analysis of consumption is less well established. To explore this question, we […]
Content Type(s): Staff research, Staff working papers Research Topic(s): Domestic demand and components, Economic models JEL Code(s): D, D1, D12, E, E2
August 24, 2010

Re-examining Canada’s Monetary Policy Framework: Recent Research and Outstanding Issues

Remarks John Murray Canadian Association for Business Economics Kingston, Ontario
I am honoured to address members of the Canadian Association for Business Economics. My remarks today will focus on critical issues that the Bank of Canada has studied over the past four years and how this research will inform our work as we move forward post crisis.

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

Staff Working Paper 2021-2 James Chapman, Ajit Desai
We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.
Go To Page