Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

1686 Results

Measuring Vulnerabilities in the Non-Financial Corporate Sector Using Industry- and Firm-Level Data

Staff analytical note 2018-17 Timothy Grieder, Michal Lipsitz
Aggregate non-financial corporate debt-to-GDP has been growing rapidly in recent years and is at an all-time high. This growth began in 2011 and accelerated as the oil price shock affected the Canadian economy.
October 18, 2005

What Drives Movements in Exchange Rates?

Understanding what causes the exchange rate to move has been on ongoing challenge for economists. Despite extensive research, traditional macro models of exchange rate determination—with the exception of the Bank of Canada's exchange rate equation—have typically not fared well, motivating economists to explore new ways to model exchange rate movements that incorporate more complex and realistic settings. Within the context of the sharp appreciation of the Canadian dollar in 2003 and 2004, Bailliu and King review the macroeconomic models of exchange rates, as well as the micro-structure studies that highlight the importance of trading mechanisms, information asymmetry, and investor heterogeneity for explaining short-term dynamics in exchange rates. In addition to summarizing the current state of knowledge, they highlight recent advances and identify promising alternative approaches.

Digitalization: Implications for Monetary Policy

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

Pulse check: Measuring underlying inflation and its drivers

Staff analytical note 2025-29 Luis Uzeda
This note presents PULSE, a new measure of underlying inflation in Canada based on a dynamic factor model estimated on disaggregated inflation data. PULSE captures the persistent component of inflation and decomposes it into broad-based and sector-specific inflationary pressures.
November 14, 2013

Bank of Canada Review - Autumn 2013

Bank of Canada Review - Autumn 2013
The three articles in this issue provide an overview of the monetary policy decision-making process at the Bank of Canada, a discussion of Bank research on the assessment of vulnerabilities in the financial system and a description of recent fragmentation in Canadian equity markets.
February 21, 2013

The U.S. Recovery from the Great Recession: A Story of Debt and Deleveraging

The U.S. recovery from the Great Recession has been slow relative to other postwar-era recoveries in the United States. Encouraged by loose lending standards in the pre-crisis period, U.S. households took on unsustainable amounts of debt, making them vulnerable to adverse shocks. Subsequently, a considerable drop in asset prices forced households to repair their balance sheets. While there has been progress in household deleveraging, the government sector now needs to delever, which will restrain growth over the next few years.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E2, E21, E6, E60

Evaluating Real GDP Growth Forecasts in the Bank of Canada Monetary Policy Report

Staff analytical note 2017-21 André Binette, Dmitri Tchebotarev
This paper examines the quality of projections of real GDP growth taken from the Bank of Canada Monetary Policy Report (MPR) since they were first published in 1997. Over the last decade, it has become common practice among the central banking community to discuss forecast performance publicly.

The Business Leaders’ Pulse—An Online Business Survey

This paper introduces the Business Leaders’ Pulse, a new online survey conducted each month. It is designed to provide timely and flexible input into the Bank of Canada’s monetary policy decision making by asking firms about their sales and employment growth expectations, the risks to their business outlook, and topical questions that address specific information needs of the Bank.

Predictive Density Combination Using a Tree-Based Synthesis Function

This paper studies non-parametric combinations of density forecasts. We introduce a regression tree-based approach that allows combination weights to vary on the features of the densities, time-trends or economic indicators. In two empirical applications, we show the benefits of this approach in terms of improved forecast accuracy and interpretability.
Go To Page