Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

2121 Results

March 26, 2018

Annual Report 2017

The Annual Report outlines the Bank’s activities and achievements in 2017. It includes the financial statements and a message from Governor Stephen S. Poloz.
Content Type(s): Publications, Annual Report

Contribution of Human Capital Accumulation to Canadian Economic Growth

Staff discussion paper 2022-7 Audra Bowlus, Youngmin Park, Chris Robinson
This paper quantifies the contribution of human capital accumulation to the growth of real gross domestic product (GDP) in Canada.
November 9, 1994

The Bank of Canada's new Quarterly Projection Model (QPM): An introduction

This article provides an overview of the Bank of Canada's new economic model, the Quarterly Projection Model (QPM), which has been under development at the Bank since 1989. The model has two roles. It is used to make economic projections, which are conducted quarterly and form an important basis for discussions of monetary policy between staff and senior management. QPM is also a research tool: it was developed to analyse important changes to the economy or macroeconomic policies which require a deeper understanding of long-term economic forces. The model pays particular attention to factors shaping long-term equilibrium, such as stocks of wealth, capital, government debt and net foreign assets. Various sources of dynamics, including the adjustment of forward-looking expectations, operate to determine the transition path to equilibrium and the consistency of expectations. The article discusses the history of QPM and earlier economic models at the Bank, and provides a simple overview of how the model works.
May 24, 2017

Collaboration on the regulatory agenda

We help manage the benefits and risks of fintech and digital currencies at the international level through our work with the Financial Stability Board, the International Monetary Fund and the Bank for International Settlements.

Estimation and Inference for Stochastic Volatility Models with Heavy-Tailed Distributions

Statistical inference--both estimation and testing--for stochastic volatility (SV) models is known to be challenging and computationally demanding. We propose simple and efficient estimators for SV models with conditionally heavy-tailed error distributions, particularly the Student’s t and Generalized Exponential Distributions (GED). The estimators rely on a small set of moment conditions derived from ARMA-type representations of SV models, with an option to apply “winsorization” to improve stability and finite-sample performance. Except for the degrees of-freedom parameter, closed-form expressions are available for all other parameters, extending Ahsan and Dufour (2019, 2021), thus eliminating the need for numerical optimization or initial values. We derive the estimators’ asymptotic distribution and show that, due to their analytical tractability, they support reliable, and even exact, simulation-based inference via Monte Carlo or bootstrap methods. We assess their performance through extensive simulations and demonstrate their practical relevance in financial return data, which strongly reject the normality assumption in favor of heavy-tailed models.
February 10, 2020

Research paper awards

At the Bank of Canada, we’re pleased to offer awards for research papers by students and by staff.
December 10, 1996

The maturity structure of household financial assets and liabilities

In this article, the author examines the maturity structure of the household sector's balance sheet and the degree of interest rate variability of household loans and financial assets. The bulk of households' interest-bearing assets and financial liabilities consists of medium- and long-term, fixed-rate instruments. The pattern of personal consumption is therefore influenced more by the wealth effects of interest rate changes than by their income effects, and the full impact of a permnent shift in interest rates on consumption will become apparent only after a lag.
Go To Page