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2181 Results

The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Calibration for Single-Location Retailers

Technical report No. 109 Heng Chen, Rallye Shen
Calibrated weights are created to (a) reduce the nonresponse bias; (b) reduce the coverage error; and (c) make the weighted estimates from the sample consistent with the target population in terms of certain key variables.
March 23, 2017

Annual Report 2016

The Annual Report outlines the Bank’s activities and achievements in 2016. It includes the financial statements and a message from Governor Stephen S. Poloz.
Content Type(s): Publications, Annual Report
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

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.

Changing Fortunes: Long-Termism—G-Zero, Artificial Intelligence and Debt

Staff discussion paper 2019-12 Stephen S. Poloz
This paper discusses three long-term forces that are acting on the global economy and their implications for companies and policy-makers.

COVID-19 crisis: Liquidity management at Canada’s largest public pension funds

We examine how the eight largest Canadian public pension funds managed liquidity during the market turmoil in March 2020. The funds were generally resilient to large demands for liquidity and relied heavily on Canada's core funding markets.
August 12, 1998

The declining supply of treasury bills and the Canadian money market

The supply of treasury bills has fallen considerably since 1995, reflecting a decline in the financing needs of the Canadian government and a change in its debt-management strategy. This has had a major impact on different segments of the money market. Among the various implications of this development, the authors point out the decrease in turnover and, hence, liquidity in the treasury bill market since 1995, as well as high rates of growth in the market for short-term interest rate derivatives and for short-term asset-backed securities.
October 8, 2020

From COVID to climate—the importance of risk management

Remarks (delivered virtually) Tiff Macklem The Global Risk Institute Toronto, Ontario
Governor Tiff Macklem discusses the importance of financial risk management as Canada recovers from the pandemic, and as it deals with issues like climate change.
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