Search

Content Types

Research Topics

JEL Codes

Locations

Departments

Authors

Sources

Statuses

Published After

Published Before

3046 Results

May 17, 2012

Understanding Systemic Risk in the Banking Sector: A MacroFinancial Risk Assessment Framework

The MacroFinancial Risk Assessment Framework (MFRAF) models the interconnections between liquidity and solvency in a financial system, with multiple institutions linked through an interbank network. The MFRAF integrates funding liquidity risk as an endogenous outcome of the interactions between solvency risk and the liquidity profiles of banks, which is a complementary approach to the new […]

Evaluating Alternative Measures of the Real Effective Exchange Rate

Staff Working Paper 1998-20 Robert Lafrance, Patrick Osakwe, Pierre St-Amant
This paper discusses the merits and shortcomings of alternative price indices used in constructing real effective exchange rate indices and examines the effects of different weighting schemes. It also compares selected measures of the real effective exchange rate in terms of their ability to explain movements in Canadian net exports and real output. The paper […]

Estimating DSGE-Model-Consistent Trends for Use in Forecasting

The workhorse DSGE model used for monetary policy evaluation is designed to capture business cycle fluctuations in an optimization-based format. It is commonplace to log-linearize models and express them with variables in deviation-from-steady-state format.

Modelling Mortgage Rate Changes with a Smooth Transition Error-Correction Model

Staff Working Paper 2001-23 Ying Liu
This paper uses a smooth transition error-correction model (STECM) to model the one-year and five-year mortgage rate changes. The model allows for a non-linear adjustment process of mortgage rates towards their long-run equilibrium.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Interest rates JEL Code(s): C, C2, C22, C4, C49, E, E4, E47
November 15, 2012

Monetary Policy and the Risk-Taking Channel: Insights from the Lending Behaviour of Banks

The financial crisis of 2007-09 and the subsequent extended period of historically low real interest rates have revived the question of whether economic agents are willing to take on more risk when interest rates remain low for a prolonged time period. This increased appetite for risk, which causes economic agents to search for investment assets and strategies that generate higher investment returns, has been called the risk-taking channel of monetary policy. Recent academic research on banks suggests that lending policies in times of low interest rates can be consistent with the existence of a risk-taking channel of monetary policy in Europe, South America, the United States and Canada. Specifically, studies find that the terms of loans to risky borrowers become less stringent in periods of low interest rates. This risk-taking channel may amplify the effects of traditional transmission mechanisms, resulting in the creation of excessive credit.

Noisy Monetary Policy

Staff Working Paper 2018-23 Tatjana Dahlhaus, Luca Gambetti
We introduce limited information in monetary policy. Agents receive signals from the central bank revealing new information (“news") about the future evolution of the policy rate before changes in the rate actually take place. However, the signal is disturbed by noise.
November 24, 2004

Bank of Canada Review - Autumn 2004

BoC Review - Autumn 2004

Cover page

Bus Transportation Tokens and Tickets

The pieces illustrated on the cover range in size from 12 mm to 38 mm in diameter or width. They form part of the National Currency Collection, Bank of Canada.

Photography by Gord Carter, Ottawa

The Effects of Oil Price Uncertainty on the Macroeconomy

Staff Working Paper 2012-40 Soojin Jo
This paper investigates the effect of oil price uncertainty on real economic activity using a quarterly VAR with stochastic volatility in mean. Stochastic volatility allows oil price uncertainty to vary separately from changes in the level of oil prices, and thus the impact of oil price uncertainty can be examined in a more flexible yet tractable way.
Go To Page