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557 Results

Anchored Inflation Expectations: What Recent Data Reveal

Staff working paper 2025-5 Olena Kostyshyna, Isabelle Salle, Hung Truong
We analyze micro-level data from the Canadian Survey of Consumer Expectations through the lens of a heterogeneous-expectations model to study how inflation expectations form over the business cycle. We provide new insights into how households form expectations, documenting that forecasting behaviours, attention and noise in beliefs vary across socio-demographic groups and correlate with views about monetary policy.

International Portfolio Rebalancing and Fiscal Policy Spillovers

Staff working paper 2023-56 Sami Alpanda, Uluc Aysun, Serdar Kabaca
We evaluate, both empirically and theoretically, the spillover effects that debt-financed fiscal policy interventions of the United States have on other economies. We consider a two-country model with international portfolio rebalancing effects. We show that US fiscal expansions would increase global long-term rates and hinder economic activity in the rest of the world.

We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress

We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices.
December 13, 1997

The overnight market in Canada

The overnight market is an active forum where participants with a temporary surplus or shortage of funds can lend or borrow until the next business day. The level of interest rates in the overnight market has always been closely linked to the Bank of Canada's monetary policy operations. In this article, the authors describe the evolution of the market from its roots in the 1950s, the development of the Bank's monetary policy operations in the market, and how the market operates today. They also examine the outlook for the overnight market, particularly the implications of the new Large-Value Transfer System.

Trade Flows and Exchange Rates: Importers, Exporters and Products

Staff working paper 2019-41 Michael Devereux, Wei Dong, Ben Tomlin
Using highly disaggregated transaction-level trade data, we document the importance of new firm-level trade partner relationships and the addition of new products to existing relationships in driving aggregate trade flows.

The Rise of Non-Regulated Financial Intermediaries in the Housing Sector and its Macroeconomic Implications

Staff working paper 2017-36 Hélène Desgagnés
I examine the impact of non-regulated lenders in the mortgage market using a dynamic stochastic general equilibrium (DSGE) model. My model features two types of financial intermediaries that differ in three ways: (i) only regulated intermediaries face a capital requirement, (ii) non-regulated intermediaries finance themselves by selling securities and cannot accept deposits, and (iii) non-regulated intermediaries face a more elastic demand.
June 7, 2018

Establishing a Resolution Regime for Canada’s Financial Market Infrastructures

This report highlights how an effective resolution regime promotes financial stability. It does this by ensuring that financial market infrastructures (FMIs) would be able to continue to provide their critical functions during a period of stress when an FMI’s own recovery measures were failing. The report explains the Bank of Canada’s new role as the resolution authority for FMIs, which will further bolster financial system resilience.
Content Type(s): Publications, Financial System Review articles JEL Code(s): G, G1, G10, G19, G2, G20, G28, G29

Transmission of Cyber Risk Through the Canadian Wholesale Payment System

Staff working paper 2022-23 Anneke Kosse, Zhentong Lu
This paper studies how the impact of a cyber attack that paralyzes one or multiple banks' ability to send payments would transmit to other banks through the Canadian wholesale payment system. Based on historical payment data, we simulate a wide range of scenarios and evaluate the total payment disruption in the system.
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