Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

3035 Results

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.

A No-Arbitrage Analysis of Macroeconomic Determinants of Term Structures and the Exchange Rate

Staff Working Paper 2007-21 Fousseni Chabi-Yo, Jun Yang
We study the joint dynamics of macroeconomic variables, bond yields, and the exchange rate in an empirical two-country New-Keynesian model complemented with a no-arbitrage term structure model. With Canadian and US data, we are able to study the impact of macroeconomic shocks from both countries on their yield curves and the exchange rate.
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.

The Structure of Interest Rates in Canada: Information Content about Medium-Term Inflation

Staff Working Paper 1997-10 Jim Day, Ron Lange
This paper examines the relationship between the term structure of interest rates and future changes in inflation for Canada using a newly constructed par-value yield series. The main conclusion of the empirical work is that the slope of the nominal term structure from 1- to 5-year maturities is a reasonably good predictor of future changes in inflation over these horizons.
Content Type(s): Staff research, Staff working papers Research Topic(s): Interest rates, Monetary and financial indicators JEL Code(s): E, E4, E43
June 14, 2007

Efficiency and Competition in Canadian Banking

Allen and Engert report on recent research at the Bank of Canada on various aspects of efficiency in the Canadian banking industry. This research suggests that, overall, Canadian banks appear to be relatively efficient producers of financial services and they do not exercise monopoly or collusive-oligopoly power. The authors note the value of continuing to investigate opportunities to improve efficiency and competition in financial services in Canada.

Understanding Firms’ Inflation Expectations Using the Bank of Canada’s Business Outlook Survey

Staff Working Paper 2016-7 Simon Richards, Matthieu Verstraete
Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period.
Go To Page