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2094 Results

October 8, 2009

Central Banking in Canada: Meeting Today's and Tomorrow's Challenges

Remarks Paul Jenkins Vancouver Board of Trade Vancouver, British Columbia
Indeed, the global financial crisis of the past two years has presented unique, stressful challenges that have forced us all to assess what has worked well and what needs to change. Today, I would like to review some of the critical thinking around these issues, primarily from the perspective of our work at the Bank of Canada.

An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework

Staff discussion paper 2018-14 Lise Pichette, Maria Bernier, Marie-Noëlle Robitaille
In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates.

Privacy-Preserving Post-Quantum Credentials for Digital Payments

Staff working paper 2023-33 Raza Ali Kazmi, Duc-Phong Le, Cyrus Minwalla
Digital payments and decentralized systems enable the creation of new financial products and services for users. One core challenge in digital payments is the need to protect users from fraud and abuse while retaining privacy in individual transactions. We propose a pseudonymous credential scheme for use in payment systems to tackle this problem.
August 15, 2000

Restructuring in the Canadian Economy: A Survey of Firms

Towards the end of the 1980s and into the early 1990s, the Canadian economy experienced a number of structural changes. These included free trade agreements (both the FTA and NAFTA), significant technological advances, deregulation in many sectors of the economy, the arrival of large, U.S.-based retailers, and the introduction of the GST.
October 14, 2007

The Effect of China on Global Prices

The dramatic growth in China's exports of consumer goods such as clothing, toys, and electronics, and imports of primary commodities such as oil and metals is having major effects on global supply and demand. In examining China's role in global relative price changes, Francis finds that downward pressure on the relative prices of consumer goods is likely to persist as China's large labour supply continues its migration into manufacturing. Likewise, China's size and growth will also remain key drivers of global commodities demand for some time. Despite these forces, inflation-targeting central banks have the tools to keep inflation close to target, thus offsetting any persistent upward or downward inflationary pressure.
November 17, 2011

Extracting Information from the Business Outlook Survey: A Principal-Component Approach

This article reviews recent work that uses principal-component analysis to extract information common to indicators from the Bank of Canada’s Business Outlook Survey (BOS). The authors use correlation analysis and an out-of-sample forecasting exercise to assess and compare the information content of the principal component with that of responses to key individual survey questions on growth in real gross domestic product and in real business investment. Results suggest that summarizing the common movements among BOS indicators may provide useful information for forecasting near-term growth in business investment. For growth in real gross domestic product, however, the survey’s balance of opinion on future sales growth appears to be more informative.

Supervising Financial Regulators

Staff working paper 2016-52 Josef Schroth
How much discretion should local financial regulators in a banking union have in accommodating local credit demand? I analyze this question in an economy where local regulators privately observe expected output from high lending. They do not fully internalize default costs from high lending since deposit insurance cannot be priced fairly.

Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning

Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.
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