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3029 Results

Bitcoin Awareness and Usage in Canada: An Update

Staff Analytical Note 2018-23 Christopher Henry, Kim Huynh, Gradon Nicholls
The results of our 2017 Bitcoin Omnibus Survey (December 12 to 15, 2017) when compared with those from 2016 show that Bitcoin “awareness” increased from 64 to 85 per cent, while ownership increased from 2.9 to 5.0 per cent. Most Bitcoin purchasers are using the cryptocurrency as an investment and not as a means of payment for goods or services.

A Measure of Underlying Inflation in the United States

Staff Working Paper 1997-20 Iris Claus
A monetary authority with the primary objective of price stability has to distinguish between temporary price shocks and persistent shocks to the rate of inflation. A measure of underlying inflation, therefore, has an important role to play as a guideline for monetary policy.
Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices, International topics JEL Code(s): E, E3, E31
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

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 […]

Central Bank Communication That Works: Lessons from Lab Experiments

Staff Working Paper 2019-21 Oleksiy Kryvtsov, Luba Petersen
We use controlled laboratory experiments to test the causal effects of central bank communication on economic expectations and to distinguish the underlying mechanisms of those effects. In an experiment where subjects learn to forecast economic variables, we find that central bank communication has a stabilizing effect on individual and aggregate outcomes and that the size of the effect varies with the type of communication.
Content Type(s): Staff research, Staff working papers Research Topic(s): Monetary policy implementation, Monetary policy transmission JEL Code(s): C, C9, D, D8, D84, E, E3, E5, E52

Revisiting National Border Effects in Foreign Trade in Goods of Canadian Provinces

Staff Working Paper 2015-28 Farrukh Suvankulov
A significant body of empirical studies demonstrates sizable national border effects in foreign trade of Canadian provinces throughout the 1980s and 1990s. This paper revisits and expands the scope of the border effects analysis by estimating the border effect in trade with U.S. states as well as countries in the European Union (EU) and the G 20 using more recent data from 2001–10.
Content Type(s): Staff research, Staff working papers Research Topic(s): International topics JEL Code(s): F, F1, F14, F15
June 18, 2008

House Prices and Consumer Spending

Flood, Morin, and Kolet examine the role of house prices in household consumption decisions. Considering a group of advanced economies, the authors find that the strength of the link between house prices and consumer spending depends on the institutional features of national mortgage markets.
August 18, 2011

Bank of Canada Review - Summer 2011

This special issue, “Real-Financial Linkages,” examines the Bank’s research using theoretical and empirical models to improve its understanding of the linkages between financial and macroeconomic developments in the wake of the recent global financial crisis.

Forecasting GDP Growth Using Artificial Neural Networks

Staff Working Paper 1999-3 Greg Tkacz, Sarah Hu
Financial and monetary variables have long been known to contain useful leading information regarding economic activity. In this paper, the authors wish to determine whether the forecasting performance of such variables can be improved using neural network models. The main findings are that, at the 1-quarter forecasting horizon, neural networks yield no significant forecast improvements. […]
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