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2156 Results

Interbank Asset-Liability Networks with Fire Sale Management

Staff working paper 2020-41 Zachary Feinstein, Grzegorz Halaj
Raising liquidity when funding is stressed creates pressure on the financial market. Liquidating large quantities of assets depresses their prices and may amplify funding shocks. How do banks weathering a funding crisis contribute to contagion risk?

Bank Screening Heterogeneity

Staff working paper 2016-56 Thibaut Duprey
Production efficiency and financial stability do not necessarily go hand in hand. With heterogeneity in banks’ abilities to screen borrowers, the market for loans becomes segmented and a self-competition mechanism arises. When heterogeneity increases, the intensive and extensive margins have opposite effects.
November 11, 2008

The Market Impact of Forward-Looking Policy Statements: Transparency vs. Predictability

Central banks continuously strive to improve how they communicate to financial markets and the public in order to increase transparency. For this reason, many central banks have begun to include guidance on the policy rate in the form of forward-looking statements in their communications. This article examines the debate over the usefulness of providing such statements from both theoretical and empirical standpoints. The evidence presented here suggests that the use of forward-looking statements in Bank of Canada communications has made the Bank more predictable, but not necessarily more transparent.

What Drives Interbank Loans? Evidence from Canada

Staff working paper 2018-5 Narayan Bulusu, Pierre Guérin
We identify the drivers of unsecured and collateralized loan volumes, rates and haircuts in Canada using the Bayesian model averaging approach to deal with model uncertainty. Our results suggest that the key friction driving behaviour in this market is the collateral reallocation cost faced by borrowers.
December 17, 2000

Dynamic General-Equilibrium Models and Why the Bank of Canada is Interested in Them

Dynamic general-equilibrium models (DGEMs) are being increasingly used in macroeconomic research. In this article, the author describes the main features of these models and outlines their contribution to economic research performed at the Bank of Canada. He notes that the basic principle of DGEMs is that the modelling of economic activity, even on a scale as large as the economy of a country, should start with a series of microeconomic problems (at the scale of individuals), which, once resolved, are aggregated to represent the macroeconomic reality described by the model.

What to Expect When China Liberalizes Its Capital Account

Staff discussion paper 2016-10 Mark Kruger, Gurnain Pasricha
When China joined the World Trade Organization in December 2001, it marked a watershed for the world economy. Ten years from now, the opening of China’s capital account and the financial integration that will unfold will be viewed as a milestone of similar importance.

Reconciling Jaimovich-Rebelo Preferences, Habit in Consumption and Labor Supply

Staff working paper 2018-26 Tom D. Holden, Paul Levine, Jonathan Swarbrick
This note studies a form of a utility function of consumption with habit and leisure that (a) is compatible with long-run balanced growth, (b) hits a steady-state observed target for hours worked and (c) is consistent with micro-econometric evidence for the inter-temporal elasticity of substitution and the Frisch elasticity of labor supply.

Production Networks and the Propagation of Commodity Price Shocks

Staff working paper 2020-44 Shutao Cao, Wei Dong
We examine the macro implications of commodity price shocks in a model with multiple production sectors that are interconnected within a commodity-exporting small open economy.

Information Sharing and Bargaining in Buyer-Seller Networks

Staff working paper 2016-63 Sofia Priazhkina, Frank H. Page
This paper presents a model of strategic buyer-seller networks with information exchange between sellers. Prior to engaging in bargaining with buyers, sellers can share access to buyers for a negotiated transfer. We study how this information exchange affects overall market prices, volumes and welfare, given different initial market conditions and information sharing rules.
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