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2191 Results

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff working paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.
August 16, 2012

Global Risk Premiums and the Transmission of Monetary Policy

An important channel in the transmission of monetary policy is the relationship between the short-term policy rate and long-term interest rates. Using a new term-structure model, the authors show that the variation in long-term interest rates over time consists of two components: one representing investor expectations of future policy rates, and another reflecting a term-structure risk premium that compensates investors for holding a risky asset. The time variation in the term-structure risk premium is countercyclical and largely determined by global macroeconomic conditions. As a result, long-term rates are pushed up during recessions and down during times of expansion. This is an important phenomenon that central banks need to take into account when using short-term rates as a policy tool.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E4, E43, F, F3, F31, G, G1, G12, G15
December 17, 2000

Dynamic General-Equilibrium Models and Why the Bank of Canada is Interested in Them

Dynamic general-equilibrium models (DGEMs) are being increasingly used in macroeconomic research. In this article, the author describes the main features of these models and outlines their contribution to economic research performed at the Bank of Canada. He notes that the basic principle of DGEMs is that the modelling of economic activity, even on a scale as large as the economy of a country, should start with a series of microeconomic problems (at the scale of individuals), which, once resolved, are aggregated to represent the macroeconomic reality described by the model.

Flight from Safety: How a Change to the Deposit Insurance Limit Affects Households’ Portfolio Allocation

Staff working paper 2019-29 H. Evren Damar, Reint Gropp, Adi Mordel
Deposit insurance protects depositors from failing banks, thus making insured deposits risk-free. When a deposit insurance limit is increased, some deposits that previously were uninsured become insured, thereby increasing the share of risk-free assets in households’ portfolios. This increase cannot simply be undone by households, because to invest in uninsured deposits, a household must first invest in insured deposits up to the limit. This basic insight is the starting point of the analysis in this paper.

What to Expect When China Liberalizes Its Capital Account

Staff discussion paper 2016-10 Mark Kruger, Gurnain Pasricha
When China joined the World Trade Organization in December 2001, it marked a watershed for the world economy. Ten years from now, the opening of China’s capital account and the financial integration that will unfold will be viewed as a milestone of similar importance.

Understanding Systemic Risks in the Canadian Financial System

This paper reviews recent efforts to monitor and assess systemic risk in the Canadian financial system and outlines a framework for future system-wide stress testing.

CBDC and Monetary Sovereignty

Staff analytical note 2020-5 Antonio Diez de los Rios, Yu Zhu
In an increasingly digitalized world, issuers of private digital currency can weaken central banks’ ability to stabilize the economy. By continuing to make central bank money attractive as a payment instrument in a digital world, a central bank digital currency (CDBC) could help to maintain a country’s monetary sovereignty.

What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks

Staff working paper 2016-25 Laurent Ferrara, Pierre Guérin
This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.
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