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2099 Results

A Primer on Neo-Fisherian Economics

Staff analytical note 2016-14 Robert Amano, Thomas J. Carter, Rhys R. Mendes
Conventional models imply that central banks aiming to raise inflation should lower nominal rates and thus stimulate aggregate demand. However, several economists have recently challenged this conventional wisdom in favour of an alternative “neo-Fisherian’’ view under which higher nominal rates might in fact lead to higher inflation.

Redemption Runs in Canadian Corporate Bond Funds?

Staff analytical note 2018-21 Rohan Arora
Mutual funds employ a host of tools to manage redemption run risk. However, our results suggest that Canadian corporate bond funds may be vulnerable to redemption runs, especially when they are less liquid and when market volatility is high.

Opaque Assets and Rollover Risk

Staff working paper 2016-17 Benjamin Nelson, Toni Ahnert
We model the asset-opacity choice of an intermediary subject to rollover risk in wholesale funding markets. Greater opacity means investors form more dispersed beliefs about an intermediary’s profitability.

Understanding the Systemic Implications of Climate Transition Risk: Applying a Framework Using Canadian Financial System Data

Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system.

Accounting for Real Exchange Rates Using Micro‐Data

Staff working paper 2017-12 Mario J. Crucini, Anthony Landry
The classical dichotomy predicts that all of the time-series variance in the aggregate real exchange rate is accounted for by non-traded goods in the consumer price index (CPI) basket because traded goods obey the Law of One Price. In stark contrast, Engel (1999) claimed the opposite: that traded goods accounted for all of the variance.
November 14, 1997

European economic and monetary union: Background and implications

The European Union, which currently consists of 15 states, occupies an important place among the advanced economies. The final stage of the European economic and monetary union (EMU) is scheduled to begin in January 1999 with the adoption of a common currency called the "euro." A decision on which countries will participate in the euro area in 1999 will be made next spring based in part on the achievement of the economic criteria laid out in the Maastricht Treaty. In this article, the authors, after a brief discussion of the historical background, cast some light on the institutional aspects of the EMU, on the formulation and implementation of economic policy, as well as on the internal and external effects of EMU completion. For Canada, the direct implications of the shift to the euro appear to be relatively modest, at least in the short run.

The Impacts of Monetary Policy Statements

Staff analytical note 2017-22 Bruno Feunou, Corey Garriott, James Kyeong, Raisa Leiderman
In this note, we find that market participants react to an unexpected change in the tone of Canadian monetary policy statements. When the market perceives that the Bank of Canada plans to tighten (or alternatively, loosen) the monetary policy earlier than previously expected, the Canadian dollar appreciates (or depreciates) and long-term Government of Canada bond yields increase (or decrease). The tone of a statement is particularly relevant to the market when the policy rate has been unchanged for some time.

COVID-19 Crisis: Lessons Learned for Future Policy Research

One year later, we review the events that took place in Canadian fixed-income markets at the beginning of the COVID-19 crisis and propose potential policy research questions for future work.

Business Closures and (Re)Openings in Real Time Using Google Places

The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service.
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