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534 Results

November 18, 2010

Bank of Canada Review - Autumn 2010

BoC Review - Autumn 2010
The premise that exchange rate pass-through has declined is critically reassessed; intensity in the negative feedback process between financial sector developments and the real economy during the recent global crisis is examined; update on past decade’s changing trends in debt issuance in Canada relative to those in other capital markets.
November 9, 2010

Looking Back, Moving Forward: Canada and Global Financial Reform

Remarks Mark Carney International Center for Monetary and Banking Studies Geneva, Switzerland
There is an old saying, “Knowledge is gained from experience, and experience is gained from mistakes.” In Canada, we made our mistakes early and often in the 1970s and 1980s. Our fiscal situation deteriorated sharply, inflation surged to double-digit levels, and a few small regional banks collapsed.
June 11, 2009

The Complexities of Financial Risk Management and Systemic Risks

Risk-management systems in financial institutions have come under increasing scrutiny in light of the current financial crisis, resulting in calls for improvements and an increased role for regulators. Yet such objectives miss the intricacy at the heart of the risk-management process. This article outlines the complexity inherent in any modern risk-management system, which arises because there are shortcuts in the theoretical models that risk managers need to be aware of, as well as the difficulties in sensible calibration of model parameters. The author suggests that prudential regulation of such systems should focus on failures within the financial firm and in the market interactions between firms and reviews possible strategies that can improve the performance of risk management and microprudential regulatory practice.
August 23, 2003

Financial Developments in Canada: Past Trends and Future Challenges

Freedman and Engert focus on the changing pattern of lending and borrowing in Canada in the past thirty to forty years, including the types of financial instruments used and the relative roles of financial institutions and financial markets. They examine how borrowing mechanisms have changed over time and consider the challenges facing the Canadian financial sector, including whether our financial markets are in danger of disappearing because of the size and pre-eminence of U.S. financial markets. Some of the trends examined here include syndicated lending, securitization, and credit derivatives, a form of financial engineering that has become increasingly important in the last few years. They also study bond and equity markets to determine whether Canadian capital markets have been hollowed out or abandoned by Canadian firms and conclude that the data do not provide much support for that view.

Seeing the Economy through Colored Glasses: Partisanship in Macro and (not in) Micro Expectations

Staff working paper 2026-24 Adrian Monninger, Kyung Woong Koh, Tao Wang
Households report distinctive views of the macroeconomy along partisan lines, while their expectations about personal finances do not follow the same pattern. Economic inequality remains the major contributor to polarized views of the macroeconomy. Partisan politics are simply a magnifier.

Should the Central Bank Issue E-money?

Staff working paper 2018-58 Charles M. Kahn, Francisco Rivadeneyra, Tsz-Nga Wong
Should a central bank take over the provision of e-money, a circulable electronic liability? We discuss how e-money technology changes the tradeoff between public and private provision, and the tradeoff between e-money and a central bank's existing liabilities like bank notes and reserves.

CANVAS: A Canadian Behavioral Agent-Based Model

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.
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