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3032 Results

Using Speed and Credit Limits to Address the Procyclicality of Initial Margin at Central Counterparties

Staff Discussion Paper 2016-18 Nikil Chande, Nicholas Labelle
This paper proposes a practical approach to address the procyclicality of initial margin at central counterparties (CCPs) that can work even in periods of extreme stress. The approach allows CCPs to limit the speed of margin increases resulting from spikes in market volatility.

Macroeconomic Predictions Using Payments Data and Machine Learning

Staff Working Paper 2022-10 James Chapman, Ajit Desai
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.

Firm Heterogeneity, Technological Adoption, and Urbanization: Theory and Measurement

Staff Working Paper 2017-27 Alex Chernoff
This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Productivity, Regional economic developments JEL Code(s): N, N6, N61, O, O1, O14, R, R1, R13

The Power of Many: Assessing the Economic Impact of the Global Fiscal Stimulus

Staff Discussion Paper 2010-1 Carlos De Resende, René Lalonde, Stephen Snudden
The Bank of Canada Global Economy Model (BoC-GEM) is used to examine the effect of various types of discretionary fiscal policies on different regions of the globe. The BoC-GEM is a microfounded dynamic stochastic general-equilibrium global model with six regions, multiple sectors, and international linkages.
August 4, 2010

Governor's Award

Annual research grants for a term of up to two years.

International Economic Sanctions and Third-Country Effects

Staff Working Paper 2023-46 Fabio Ghironi, Daisoon Kim, Galip Kemal Ozhan
We study the transmission and third-country effects of international sanctions. A sanctioned country’s losses are mitigated, and the sanctioning country’s losses amplified, if a third country does not join the sanctions, but the third country benefits from not joining.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Exchange rates, International topics JEL Code(s): F, F3, F31, F4, F41, F42, F5, F51

Price-Level Targeting

Staff Discussion Paper 2007-8 Agathe Côté
In November 2006, the Bank of Canada announced its intention to lead a concerted research program over the next few years on the type of monetary policy framework that would best contribute to the economic well-being of Canadians in the decades ahead. The research will focus on two broad questions: whether economic welfare might be […]
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Monetary policy framework JEL Code(s): E, E5, E52, E58

Climate Variability and International Trade

Staff Working Paper 2023-8 Geoffrey R. Dunbar, Walter Steingress, Ben Tomlin
This paper quantifies the impact of hurricanes on seaborne international trade to the United States. Matching the timing of hurricane–trade route intersections with monthly U.S. port-level trade data, we isolate the unanticipated effects of a hurricane hitting a trade route using two separate identification schemes: an event study and a local projection.
Content Type(s): Staff research, Staff working papers Research Topic(s): Climate change, International topics JEL Code(s): C, C2, C22, C5, F, F1, F14, F18, Q, Q5, Q54

What do high-frequency expenditure network data reveal about spending and inflation during COVID‑19?

Staff Analytical Note 2020-20 Kim Huynh, Helen Lao, Patrick Sabourin, Angelika Welte
The official consumer price index (CPI) inflation measure, based on a fixed basket set before the COVID 19 pandemic, may not fully reflect what consumers are currently experiencing. We partnered with Statistics Canada to construct a more representative index for the pandemic with weights based on real-time transaction and survey data.
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