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728 Results

Monetary Policy Under Uncertainty: Practice Versus Theory

Staff Discussion Paper 2017-13 Rhys R. Mendes, Stephen Murchison, Carolyn A. Wilkins
For central banks, conducting policy in an environment of uncertainty is a daily fact of life. This uncertainty can take many forms, ranging from incomplete knowledge of the correct economic model and data to future economic and geopolitical events whose precise magnitudes and effects cannot be known with certainty.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Monetary policy, Monetary policy and uncertainty JEL Code(s): E, E5, E52, E58, E6, E61, E65

Monetary Policy Implementation and Payment System Modernization

Staff Working Paper 2020-26 Jonathan Witmer
Canada plans to adopt a retail payment system to allow Canadians to pay in real time (or near real time) 24 hours a day, 7 days a week. However, the traditional model for setting the overnight interest rate does not operate 24/7.

Unanticipated Defaults and Losses in Canada's Large-Value Payments System, Revisited

Staff Discussion Paper 2007-5 Devin Ball, Walter Engert
Recent work at the Bank of Canada studied the impact of default in Canada’s large-value payments system, and concluded that participants could readily manage their potential losses (McVanel 2005). In an extension of that work, the authors use a much larger set of daily payments data – with three times as many observations – to […]
November 20, 2018

Choosing the Best Monetary Policy Framework for Canada

Remarks Carolyn A. Wilkins McGill University Max Bell School of Public Policy Montréal, Quebec
Senior Deputy Governor Carolyn A. Wilkins discusses public policy issues around monetary policy frameworks and how those issues have become more complex in the post-global financial crisis world.

Credit Crunches from Occasionally Binding Bank Borrowing Constraints

Staff Working Paper 2017-57 Tom D. Holden, Paul Levine, Jonathan Swarbrick
We present a model in which banks and other financial intermediaries face both occasionally binding borrowing constraints and costs of equity issuance. Near the steady state, these intermediaries can raise equity finance at no cost through retained earnings.

Generalized Autoregressive Gamma Processes

Staff Working Paper 2023-40 Bruno Feunou
We introduce generalized autoregressive gamma (GARG) processes, a class of autoregressive and moving-average processes in which each conditional moment dynamic is driven by a different and identifiable moving average of the variable of interest. We show that using GARG processes reduces pricing errors by substantially more than using existing autoregressive gamma processes does.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): C, C5, C58, G, G1, G12

Analytical Derivatives for Markov Switching Models

Staff Working Paper 1995-7 Jeff Gable, Simon van Norden, Robert Vigfusson
This paper derives analytical gradients for a broad class of regime-switching models with Markovian state-transition probabilities. Such models are usually estimated by maximum likelihood methods, which require the derivatives of the likelihood function with respect to the parameter vector. These gradients are usually calculated by means of numerical techniques. The paper shows that analytical gradients […]

Securitization under Asymmetric Information over the Business Cycle

Staff Working Paper 2015-9 Martin Kuncl
This paper studies the efficiency of financial intermediation through securitization in a model with heterogeneous investment projects and asymmetric information about the quality of securitized assets. I show that when retaining part of the risk, the issuer of securitized assets may credibly signal its quality.

Model Uncertainty and Wealth Distribution

Staff Working Paper 2019-48 Edouard Djeutem, Shaofeng Xu
This paper studies the implications of model uncertainty for wealth distribution in a tractable general equilibrium model with a borrowing constraint and robustness à la Hansen and Sargent (2008). Households confront model uncertainty about the process driving the return of the risky asset, and they choose robust policies.
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