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2157 Results

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.
December 15, 2021

Our monetary policy framework: Continuity, clarity and commitment

Remarks (delivered virtually) Tiff Macklem Empire Club of Canada Toronto, Ontario
Governor Tiff Macklem discusses the Bank of Canada’s renewed monetary policy framework. He reviews Canada’s experience with flexible inflation targeting and explains why the Bank and the Government of Canada agreed to renew the 2 percent inflation target.
June 26, 2026

Financial stability indicators

Get quarterly data for the indicators we use to track the evolution of the financial stability of the Canadian economy.
August 13, 1998

Labour force participation in Canada: Trends and shifts

A key determinant of the potential growth of an economy is the rate at which the labour force increases, which depends both on population growth and on changes in the participation rate. Cyclical factors related to the economic environment can play a significant role in affecting the participation rate, as can structural factors and demographic trends. From the mid-1970s to the end of the 1980s, the participation rate rose almost without interruption to a record high of 67.5 per cent. In contrast, between 1990 and 1995, it declined sharply and has been relatively steady at around 65 per cent since 1995. In this article, the author analyzes the participation rate of age and gender groupings in order to better understand the factors leading to these developments and their implications for future movements in the aggregate rate. While cyclical factors contributed to the decline in the participation rate in the 1990s, structural factors (such as an increase in school attendance rates and the increasing use of computer technology) and demographic trends (the aging of the population) have had a substantial impact. The conclusion reached is that, while some recovery is to be expected, the aggregate participation rate is unlikely to return to its 1989 peak over the next decade or so.
May 17, 2012

Conference Summary: New Developments in Payments and Settlement

The Bank of Canada’s annual conference, held in November 2011, brought together leading researchers from universities, central banks and other institutions from around the world. Divided into four sessions plus two keynote addresses, the conference covered such topics as the use of cash and other means of payment in retail transactions, large-value payments systems, and […]
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E4, E42, G, G2, G28, L, L8, L81
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