Search

Content Types

Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

37 Results

June 28, 2017

Markets Calling: Intelligence Gathering at the Bank of Canada

Remarks Lynn Patterson CFA Society Calgary Calgary, Alberta
Deputy Governor Lynn Patterson discusses how the Bank gathers financial market intelligence and what it is learning.

Dating Systemic Financial Stress Episodes in the EU Countries

Staff Working Paper 2016-11 Benjamin Klaus, Tuomas Peltonen, Thibaut Duprey
This paper introduces a new methodology to date systemic financial stress events in a transparent, objective and reproducible way. The financial cycle is captured by a monthly country-specific financial stress index.
February 19, 2015

Inflation, Expectations and Monetary Policy

Remarks Agathe Côté Association québécoise des technologies Mont-Tremblant, Quebec
Deputy Governor Agathe Côté discusses the importance of inflation expectations for monetary policy and a new survey the Bank of Canada created to monitor household expectations.
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.

Measuring Uncertainty in Monetary Policy Using Implied Volatility and Realized Volatility

Staff Working Paper 2013-37 Bo Young Chang, Bruno Feunou
We measure uncertainty surrounding the central bank’s future policy rates using implied volatility computed from interest rate option prices and realized volatility computed from intraday prices of interest rate futures.
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.

A Financial Conditions Index for the United States

Staff Discussion Paper 2009-11 Kimberly Beaton, René Lalonde, Corinne Luu
The financial crisis of 2007–09 has highlighted the importance of developments in financial conditions for real economic activity. The authors estimate the effect of current and past shocks to financial variables on U.S. GDP growth by constructing two growthbased financial conditions indexes (FCIs) that measure the contribution to quarterly (annualized) GDP growth from financial conditions.

Indebtedness and the Household Financial Health: An Examination of the Canadian Debt Service Ratio Distribution

Staff Working Paper 2008-46 Umar Faruqui
The household debt-to-disposable income ratio in Canada increased from 110 per cent in 1999 to 127 per cent in 2007. This increase has raised questions about the ability of households to service their increased debt if faced with a negative economic or socio-economic shock.
September 15, 2008

The Bank of Canada's Senior Loan Officer Survey

The Bank of Canada maintains regular contact with financial institutions as part of the information-gathering process that feeds into the larger set of information used to arrive at its monetary policy decision. Since 1999, the Bank has been conducting a quarterly survey of the business-lending practices of major Canadian financial institutions. Analysis of the information collected shows that it is correlated with future growth in both credit and business investment. This article focuses on how the survey is conducted and describes the construction of the summary statistics, highlighting the key statistical relationships in the historical survey data.
Go To Page