Search

Content Types

Subjects

Authors

Research Themes

JEL Codes

Sources

Published After

Published Before

415 Results

Secular Economic Changes and Bond Yields

Staff working paper 2021-14 Bruno Feunou, Jean-Sébastien Fontaine
We investigate the economic forces behind the secular decline in bond yields. Before the anchoring of inflation in the mid-1990s, nominal shocks drove inflation, output and bond yields. Afterward, the impacts of nominal shocks were much less significant.

The Bank of Canada COVID‑19 stringency index: measuring policy response across provinces

We construct an index that systematically measures and tracks the stringency of government policy responses to the COVID-19 pandemic across Canadian provinces. Researchers can use this stringency index to analyze how the pandemic is affecting the economy.

Estimating Policy Functions in Payments Systems Using Reinforcement Learning

We demonstrate the ability of reinforcement learning techniques to estimate the best-response functions of banks participating in high-value payments systems—a real-world strategic game of incomplete information.

(Optimal) Monetary Policy with and without Debt

How should policy be designed at high debt levels, when fiscal authorities have little room to adjust taxes? Assigning the monetary authority a role in achieving debt sustainability makes it less effective in stabilizing inflation and output.

Networking the Yield Curve: Implications for Monetary Policy

We study how different monetary policies affect the yield curve and interact. Our study highlights the importance of the spillover structure across the yield curve for policy-making.

Chinese Monetary Policy and Text Analytics: Connecting Words and Deeds

Staff working paper 2021-3 Jeannine Bailliu, Xinfen Han, Barbara Sadaba, Mark Kruger
What are the main drivers behind the monetary policy reaction function of the People’s Bank of China?

Qualitative Field Research in Monetary Policy Making

Staff discussion paper 2021-1 Chris D'Souza, Jane Voll
Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers.

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.
Go To Page