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2160 Results

August 23, 2004

The Evolution of Liquidity in the Market for Government of Canada Bonds

Using turnover ratios, Anderson and Lavoie describe the recent evolution of liquidity in various secondary government bond markets, focusing specifically on the market for Government of Canada securities. They attribute much of the recent variation in liquidity to such cyclical factors as changes in the interest rate environment and investors' appetite for risk, as well as developments in equity markets in the late 1990s. They also examine longer-term structural and policy-related trends, including the rate of adoption of financial and technological innovations and the level of government borrowing and debt-management initiatives.

Harnessing the benefit of state-contingent forward guidance

Staff analytical note 2022-13 Vivian Chu, Yang Zhang
A low level of the neutral rate of interest increases the likelihood that a central bank’s policy rate will reach its effective lower bound (ELB) in future economic downturns. In a low neutral rate environment, using an extended monetary policy toolkit including forward guidance helps address the ELB challenge. Using the Bank’s Terms-of-Trade Economic Model, we assess the benefits and limitations of a state-contingent forward guidance implemented within a flexible inflation targeting framework.

Parallel Tempering for DSGE Estimation

Staff working paper 2024-13 Joshua Brault
I develop a population-based Markov chain Monte Carlo algorithm known as parallel tempering to estimate dynamic stochastic general equilibrium models. Parallel tempering approximates the posterior distribution of interest using a family of Markov chains with tempered posteriors.

Challenges in Implementing Worst-Case Analysis

Staff working paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries
Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach.

How Far Do Canadians Need to Travel to Access Cash?

Staff discussion paper 2023-28 Heng Chen, Daneal O’Habib, Hongyu Xiao
This paper develops a travel-based metric to measure Canadians’ access to cash from automated banking machines (ABMs) and financial institution branches. We find that, overall, access to cash remained stable between 2019 and 2022. The total number of ABMs in Canada increased by 3.7% and the total number of branches decreased by 5.2% during that period.
Content Type(s): Staff research, Staff discussion papers JEL Code(s): G, G2, G21, J, J1, J15, R, R5, R51 Research Theme(s): Money and payments, Cash and bank notes

Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins

Staff working paper 2017-47 Heng Chen, Kim Huynh, Oz Shy
Cash is the preferred method of payment for small value transactions generally less than $25. We provide insight to this finding with a new theoretical model that characterizes and compares consumers’ costs of paying with cash to paying with cards for each transaction.

The Extensive Margin of Trade and Monetary Policy

Staff working paper 2018-37 Yuko Imura, Malik Shukayev
This paper studies the effects of monetary policy shocks on firms’ participation in exporting. We develop a two-country dynamic stochastic general equilibrium model in which heterogeneous firms make forward-looking decisions on whether to participate in the export market and prices are staggered across firms and time.

Digitalization and Inflation: A Review of the Literature

In the past few years, many have postulated that the possible disinflationary effects of digitalization could explain the subdued inflation in advanced economies. In this note, we review the evidence found in the literature. We look at three main channels.

Should Central Banks Worry About Nonlinearities of their Large-Scale Macroeconomic Models?

Staff working paper 2017-21 Vadym Lepetyuk, Lilia Maliar, Serguei Maliar
How wrong could policymakers be when using linearized solutions to their macroeconomic models instead of nonlinear global solutions?
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