Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

3007 Results

Benchmarks for assessing labour market health

Staff Analytical Note 2022-2 Erik Ens, Corinne Luu, Kurt See, Shu Lin Wee
We propose a range of benchmarks for assessing labour market strength for monetary policy. This work builds on a previous framework that considers how diverse and segmented the labour market is. We apply these benchmarks to the Canadian labour market and find that it has more than recovered from the COVID-19 shock.

The Bank of Canada's Version of the Global Economy Model (BoC-GEM)

Technical Report No. 98 René Lalonde, Dirk Muir
The Bank of Canada's version of the Global Economy Model (BoC-GEM) is derived from the model created at the International Monetary Fund by Douglas Laxton (IMF) and Paolo Pesenti (Federal Reserve Bank of New York and National Bureau of Economic Research).
June 11, 2009

The Complexities of Financial Risk Management and Systemic Risks

Risk-management systems in financial institutions have come under increasing scrutiny in light of the current financial crisis, resulting in calls for improvements and an increased role for regulators. Yet such objectives miss the intricacy at the heart of the risk-management process. This article outlines the complexity inherent in any modern risk-management system, which arises because there are shortcuts in the theoretical models that risk managers need to be aware of, as well as the difficulties in sensible calibration of model parameters. The author suggests that prudential regulation of such systems should focus on failures within the financial firm and in the market interactions between firms and reviews possible strategies that can improve the performance of risk management and microprudential regulatory practice.
August 16, 2012

Measurement Bias in the Canadian Consumer Price Index: An Update

The consumer price index (CPI) is the most commonly used measure to track changes in the overall level of prices. Since it departs from a true cost-of-living index, the CPI is subject to four types of measurement bias—commodity substitution, outlet substitution, new goods and quality adjustment. The author updates previous Bank of Canada estimates of measurement bias in the Canadian CPI by examining these four sources of potential bias. He finds the total measurement bias over the 2005–11 period to be about 0.5 percentage point per year, consistent with the Bank’s earlier findings. Slightly more than half of this bias is caused by the fixed nature of the CPI basket of goods and services.
Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Inflation and prices, Inflation targets JEL Code(s): E, E3, E31, E5, E52

Liquidity Efficiency and Distribution in the LVTS: Non-Neutrality of System Changes under Network Asymmetry

Staff Discussion Paper 2008-11 Sean O'Connor, James Chapman, Kirby Millar
The authors consider the liquidity efficiency of Tranche 2 of the Large Value Transfer System (LVTS T2) by examining, through an empirical analysis, some plausible strategic reactions of individual participants to a systemwide shock to available liquidity in the system.
November 13, 1997

Statistical measures of the trend rate of inflation

As a guide for the conduct of monetary policy, most central banks make use of a trend inflation index similar to that employed by the Bank of Canada: the CPI excluding food, energy, and the effect of indirect taxes. In addition to their basic reference index, some central banks regularly publish statistical measures of the trend rate of inflation. The method used for producing these measures is, for the most part, based on the hypothesis that extreme price fluctuations generally reflect temporary shocks to the inflation rate, rather than its underlying trend. In this paper, the author offers a broad survey of studies on the measurement of trend inflation that have been published by the Bank of Canada and presents the results of the most recent work on the subject. Particular attention is paid to two statistical measures that the Bank follows more closely than other measures; namely, the CPIX, a price index that excludes eight of the most volatile CPI components, and CPIW, a measure that retains all the components of the overall index but gives a lower weighting to the most volatile.

A Behavioral New Keynesian Model of a Small Open Economy Under Limited Foresight

Staff Working Paper 2023-44 Seunghoon Na, Yinxi Xie
This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements.

The Fisher BCPI: The Bank of Canada’s New Commodity Price Index

Staff Discussion Paper 2010-6 Ilan Kolet, Ryan Macdonald
The prices of commodities produced in Canada have important implications for the performance of the Canadian economy and the conduct of monetary policy. The authors explain an important change to the methodology used to construct the Bank of Canada commodity price index (BCPI).
May 25, 2017

Upgrading the Payments Grid: The Payoffs Are Greater Than You Think

Remarks Sylvain Leduc Payments Canada Toronto, Ontario
Deputy Governor Sylvain Leduc discusses how upgrading Canada’s core payment systems will contribute to financial stability and help the Bank keep inflation on target.

Trading Dynamics with Adverse Selection and Search: Market Freeze, Intervention and Recovery

Staff Working Paper 2011-30 Jonathan Chiu, Thorsten Koeppl
We study the trading dynamics in an asset market where the quality of assets is private information of the owner and finding a counterparty takes time. When trading of a financial asset ceases in equilibrium as a response to an adverse shock to asset quality, a large player can resurrect the market by buying up lemons which involves assuming financial losses.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial markets, Financial stability JEL Code(s): E, E6, G, G1
Go To Page