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2172 Results

October 8, 2006

Modelling Financial Channels for Monetary Policy Analysis

The Bank of Canada considers a wide range of information and analysis before making a monetary policy decision and uses carefully articulated models to produce economic projections and to examine alternative scenarios. This article describes an ongoing research agenda at the Bank to develop models in which financial variables play an active role in the transmission of monetary policy actions to economic activity. Such models can help to analyze information from the financial side of the economy and to provide an overall view of the implications of financial developments for the current economic outlook. The authors also explain how this research can help address other issues relevant to the objectives of monetary policy, including how asset-price movements should be taken into account in the monetary policy framework.
August 19, 2010

Bank of Canada Review - Summer 2010

Examination of how, when the policy interest rate is at or near zero, different monetary policy frameworks might help to lower the risk and economic cost of such a scenario; review of the findings of recent Bank of Canada research on the relative merits of inflation targeting and price-level targeting (PLT) for a small open economy; examination of monetary policy being used to counteract financial imbalances; conference summary: new frontiers in monetary policy design.

CBDC and Monetary Policy

Staff analytical note 2020-4 Mohammad Davoodalhosseini, Francisco Rivadeneyra, Yu Zhu
Improving the conduct of monetary policy is unlikely to be the main motivation for central banks to issue a central bank digital currency (CBDC). While some argue that a CBDC could allow more complex transfer schemes or the ability to break below the zero lower bound, we find these benefits might be small or difficult to realize in practice.

Unintended consequences of liquidity regulation

Staff analytical note 2025-28 Omar Abdelrahman, Josef Schroth
When a bank holds a lot of safe assets, it is well situated to deal with funding stress. But when all banks hold a lot of safe assets, a pecuniary externality implies that their (wholesale) funding costs increase. This reduces banks’ ability to hold capital buffers and thus, paradoxically, increases the frequency of funding stress.
June 14, 2007

Efficiency and Competition in Canadian Banking

Allen and Engert report on recent research at the Bank of Canada on various aspects of efficiency in the Canadian banking industry. This research suggests that, overall, Canadian banks appear to be relatively efficient producers of financial services and they do not exercise monopoly or collusive-oligopoly power. The authors note the value of continuing to investigate opportunities to improve efficiency and competition in financial services in Canada.

CBDC adoption and usage: some insights from field and laboratory experiments

Staff analytical note 2020-12 Janet Hua Jiang
This note discusses insights from historical launches of new payment methods and related laboratory experiments on the potential adoption and use of a central bank digital currency in the Canadian context.
November 14, 2013

Assessing Financial System Vulnerabilities: An Early Warning Approach

This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.
Content Type(s): Publications, Bank of Canada Review articles JEL Code(s): E, E6, E66, G, G0, G01

A Dynamic Factor Model for Nowcasting Canadian GDP Growth

Staff working paper 2017-2 Tony Chernis, Rodrigo Sekkel
This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data.
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