October 17, 2022 Canadian Survey of Consumer Expectations—Third Quarter of 2022 This survey took place between August 2 and August 23, 2022. Follow-up interviews took place in September. Expectations for inflation one to two years ahead have continued to rise because consumers anticipate supply chain disruptions and elevated oil prices will persist. In contrast, expectations for inflation five years ahead have eased to near pre-pandemic levels. Still, consumers are more divided this quarter about where inflation will end up in the long term. Content Type(s): Publications, Canadian Survey of Consumer Expectations
Analyzing Default Risk and Liquidity Demand during a Financial Crisis: The Case of Canada Staff Working Paper 2011-17 Jason Allen, Ali Hortaçsu, Jakub Kastl This paper explores the reliability of using prices of credit default swap contracts (CDS) as indicators of default probabilities during the 2007/2008 financial crisis. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial markets, Payment clearing and settlement systems JEL Code(s): E, E4, E42, E5, E58, G, G0, G01, G2, G28
November 19, 2015 A Survey of Consumer Expectations for Canada Bank of Canada Review - Autumn 2015 Marc-André Gosselin, Mikael Khan The Bank of Canada recently launched a quarterly survey to measure the expectations of Canadian households: the Canadian Survey of Consumer Expectations (CSCE). The data collected provide comprehensive information about consumer expectations for and uncertainty about inflation, the labour market and household finance. This article describes the CSCE and illustrates its potential to offer rich information about Canadian consumers for researchers and policy-makers. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Central bank research, Housing, Inflation and prices, Interest rates, Labour markets, Monetary policy and uncertainty JEL Code(s): D, D1, D12, D8, D84, E, E3, E31, E5, E52, J, J0
May 13, 2014 Measuring Uncertainty in Monetary Policy Using Realized and Implied Volatility Bank of Canada Review - Spring 2014 Bo Young Chang, Bruno Feunou Uncertainty surrounding the Bank of Canada’s future policy rates is measured using implied volatility computed from interest rate options and realized volatility computed from intraday prices of interest rate futures. Both volatility measures show that uncertainty decreased following major policy actions taken by the Bank in response to the 2007–09 financial crisis. Findings also indicate that, on average, uncertainty decreases following the Bank’s policy rate announcements. Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Monetary policy and uncertainty JEL Code(s): E, E5, E52, E58
Considerations for the allocation of non-default losses by financial market infrastructures Staff Analytical Note 2022-16 Daniele Costanzo, Radoslav Raykov Non-default losses of financial market infrastructures (FMIs) have gained attention due to their potential impacts on FMIs and FMI participants, and the lack of a common approach to address them. A key question is, who should absorb these losses? Content Type(s): Staff research, Staff analytical notes Research Topic(s): Financial markets, Financial system regulation and policies JEL Code(s): G, G2, G23, G28, G3, G32, G33
What Fed Funds Futures Tell Us About Monetary Policy Uncertainty Staff Working Paper 2016-61 Jean-Sébastien Fontaine The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a “path” factor signaling information about future policy actions, which is filtered from federal funds futures data. Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Financial markets, Interest rates JEL Code(s): E, E4, E43, E44, E47, G, G1, G12, G13
ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis Technical Report No. 119 Paul Corrigan, Hélène Desgagnés, José Dorich, Vadym Lepetyuk, Wataru Miyamoto, Yang Zhang ToTEM III is the most recent generation of the Bank of Canada’s main dynamic stochastic general equilibrium model for projection and policy analysis. The model helps Bank staff tell clear and coherent stories about the Canadian economy’s current state and future evolution. Content Type(s): Staff research, Technical reports Research Topic(s): Business fluctuations and cycles, Economic models, Housing, Interest rates, Monetary policy JEL Code(s): E, E1, E17, E2, E20, E3, E30, E4, E40, E5, E50, E6, E62, E65, F, F4, F40, F41, G, G5, G51
International Financial Crises and Flexible Exchange Rates: Some Policy Lessons from Canada Technical Report No. 88 John Murray, Mark Zelmer, Zahir Antia This paper examines the behaviour of the Canadian dollar from 1997 to 1999 to see if there is any evidence of excess volatility or significant overshooting. A small econometric model of the exchange rate, based on market fundamentals, is presented and used to make tentative judgments about the extent to which the currency might have been systematically over- or undervalued. Content Type(s): Staff research, Technical reports Research Topic(s): Exchange rate regimes, Exchange rates JEL Code(s): F, F3, F31
An Economic Perspective on Payments Migration Staff Working Paper 2020-24 Anneke Kosse, Zhentong Lu, Gabriel Xerri Consumers, businesses and banks make millions of payments each day using a variety of instruments, such as debit cards, cheques and wires. Canada is currently developing three new systems to process these transactions: Lynx, Settlement Optimization Engine (SOE) and Real-Time Rail (RTR). Content Type(s): Staff research, Staff working papers Research Topic(s): Financial services, Financial system regulation and policies, Payment clearing and settlement systems JEL Code(s): E, E4, E42, G, G2, G21
What Central Bankers Need to Know about Forecasting Oil Prices Staff Working Paper 2013-15 Christiane Baumeister, Lutz Kilian Forecasts of the quarterly real price of oil are routinely used by international organizations and central banks worldwide in assessing the global and domestic economic outlook, yet little is known about how best to generate such forecasts. Our analysis breaks new ground in several dimensions. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, E, E3, E32, Q, Q4, Q43