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The authors examine how the use of extreme value theory yields collateral requirements that are robust to extreme fluctuations in the market price of the asset used as collateral.

Growth in the Canadian economy has been essentially in line with the expectations set out in the Bank’s January Monetary Policy Report Update.

At the Bank of Canada, we have worked hard over the past several years to define our goals and our methods for achieving them. We have continued to strengthen our monetary policy framework, and we have established priorities in all areas of our operations to help us meet our strategic objectives. In 2002, the Bank set out a medium-term plan for the period 2003–05. The plan’s clearly defined policy frameworks and priorities were critical in guiding our analysis and our decisions in 2003, a year in which Canadians across the country were affected by a number of severe and unanticipated events.

The COVID-19 pandemic has caused an atypical recession in which some sectors of the economy boomed and others collapsed. This required a unique fiscal policy reaction to both support firms and stimulate activity in sectors with slack. Was fiscal policy able to get where it was needed? Mostly, yes.

The Canadian economy continues to grow at a solid pace, consistent with the Bank’s outlook in the January Monetary Policy Report Update.

The global economy has been unfolding largely as expected, and prospects for continued robust growth are quite favourable, especially over the near term.

Growth in the global economy began to slow in the fourth quarter of 2007 and the first quarter of 2008. This reflected the effects of the slowdown in the U.S. economy and ongoing dislocations in global financial markets.

Six months ago, at the time of the last Monetary Policy Report, the global economic and financial environment was volatile and highly uncertain because of the adverse situation in Asia and the fallout from the Russian debt moratorium.

We develop a principal-agent model of cyber-attacking with fee-paying clients who delegate security decisions to financial platforms. We derive testable implications about clients’ vulnerability to cyber attacks and about the fees charged.

We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.