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2151 Results

Crypto ‘Money’: Perspective of a Couple of Canadian Central Bankers

Staff discussion paper 2019-1 James Chapman, Carolyn A. Wilkins
The market for cryptoassets has exploded in size in the 10 years since bitcoin was launched. The technology underlying cryptoassets, blockchain, has also been held up as a technology that promises to transform entire industries.

Following the Money: Evidence for the Portfolio Balance Channel of Quantitative Easing

Staff working paper 2018-33 Itay Goldstein, Jonathan Witmer, Jing Yang
Recent research suggests that quantitative easing (QE) may affect a broad range of asset prices through a portfolio balance channel. Using novel security-level holding data of individual US mutual funds, we establish evidence that portfolio rebalancing occurred both within and across funds.

Understanding Firms’ Inflation Expectations Using the Bank of Canada’s Business Outlook Survey

Staff working paper 2016-7 Simon Richards, Matthieu Verstraete
Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period.

Order Flow Segmentation, Liquidity and Price Discovery: The Role of Latency Delays

Staff working paper 2018-16 Michael Brolley, David Cimon
Latency delays—known as “speed bumps”—are an intentional slowing of order flow by exchanges. Supporters contend that delays protect market makers from high-frequency arbitrage, while opponents warn that delays promote “quote fading” by market makers. We construct a model of informed trading in a fragmented market, where one market operates a conventional order book and the other imposes a latency delay on market orders.
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

Monetary Policy Pass-Through with Central Bank Digital Currency

Staff working paper 2021-10 Janet Hua Jiang, Yu Zhu
Many central banks are considering issuing a central bank digital currency (CBDC). This would introduce a new policy tool—interest on CBDC. We investigate how this new tool would interact with traditional monetary policy tools, such as the interest on central bank reserves.

Using Payments Data to Nowcast Macroeconomic Variables During the Onset of COVID-19

Staff working paper 2021-2 James Chapman, Ajit Desai
We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.
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