Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

3089 Results

Bouncing Back: How Mothballing Curbs Prices

We investigate the macroeconomic impacts of mothballed businesses—those that closed temporarily—on sectoral equilibrium prices after a negative demand shock. Our results suggest that pandemic fiscal support for temporary closures may have eased inflationary pressures.
August 15, 2013

Big Data Analysis: The Next Frontier

The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): C, C5, C53, C6, C63, C8, C80
March 24, 2016

Annual Report 2015

The Annual Report provides an account of the Bank’s management, activities and achievements in 2015; it includes the financial statements and a message from Governor Stephen S. Poloz.
Content Type(s): Publications, Annual Report
November 7, 2001

Release of the Monetary Policy Report

Opening statement David Dodge
Since our May 2001 Report, a further weakening of the world economy and the terrorist acts in the United States have forced a reappraisal of global economic prospects. By midsummer, evidence began to accumulate that the economic slowdown, globally and in Canada, would bedeeper and more protracted than previously anticipated. Thus, in late August, the […]

Yang Zhang

Yang Zhang is a Senior Policy Director in the Canadian Economic Analysis (CEA) department, effective since January 2025.

Risk Amplification Macro Model (RAMM)

Technical report No. 123 Kerem Tuzcuoglu
The Risk Amplification Macro Model (RAMM) is a new nonlinear two-country dynamic model that captures rare but severe adverse shocks. The RAMM can be used to assess the financial stability implications of both domestic and foreign-originated risk scenarios.
Go To Page