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2994 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

A Simple Test of Simple Rules: Can They Improve How Monetary Policy is Implemented with Inflation Targets?

Staff Working Paper 2003-31 Nicholas Rowe, David Tulk
The authors evaluate whether an assortment of simple rules could improve how the Bank of Canada implements its inflation-targeting monetary policy. They focus on measuring the correlation between the deviations of inflation from the target and the lagged deviations of rule recommendations from the actual policy interest rate.
Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation targets, Monetary policy implementation JEL Code(s): E, E5

Valuation of Canadian- vs. U.S.-Listed Equity: Is There a Discount?

Staff Working Paper 2003-6 Michael R. King, Dan Segal
The authors examine how the valuation multiples assigned to the equity of Canadian-listed firms compare with the equity of comparable firms listed in the United States. They find that Canadian-listed firms trade at a discount to U.S.-listed firms across a range of valuation measures.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets JEL Code(s): G, G1, G12, G15
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.
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.

Prévision et analyse de la production manufacturière au Canada : comparaison de modèles linéaires et non linéaires

Staff Working Paper 2004-40 Frédérick Demers
In this paper, the author describes reduced-form linear and non-linear econometric models developed to forecast and analyze quarterly data on output growth in the Canadian manufacturing sector from 1981 to 2003.

Forecasting and Analyzing World Commodity Prices

Staff Working Paper 2003-24 René Lalonde, Zhenhua Zhu, Frédérick Demers
The authors develop simple econometric models to analyze and forecast two components of the Bank of Canada commodity price index: the Bank of Canada non-energy (BCNE) commodity prices and the West Texas Intermediate crude oil price. They present different methodologies to identify transitory and permanent components of movements in these prices.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C5
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