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This paper surveys the literature on the zero bound on the nominal interest rate. It addresses questions ranging from the conditions under which the zero bound on the nominal interest rate might occur to policy options to avoid or use to exit from such a situation. We discuss literature that examines historical and country evidence, and literature that uses models to generate evidence on this question.

In this study we statistically quantify the reactions of Canadian and U.S. interest rates to macroeconomic announcements released in Canada and in the United States. We find that Canadian interest rates react very little to Canadian macroeconomic news and are significantly affected by U.S. macroeconomic news, which indicates that international influences on the Canadian fixed-income markets are important.

This paper empirically determines why, during the 1990s, inflation in Canada was consistently more stable than predicted by the fixed-coefficients Phillips curve. A time-varying-coefficient model, where all the parameters adjust simultaneously, shows that the behaviour of expectations was probably a major contributing factor.

Two aspects of the recent monetary history of Canada, Australia, and New Zealand stand out: the sensitivity of their dollars to prices of resource-based commodities, and inflation targeting. This paper explores various aspects of these phenomena.

This paper proposes a class of linear signed rank statistics to test for a random walk with unknown drift in the presence of arbitrary forms of conditional heteroscedasticity.

The author describes the various elements of the global payment network for large-value funds transfers (G-LVTN) in order to provide a convenient reference document intended for readers in the academic, legal, and financial communities.

Artificial neural networks (ANN) are employed for high-frequency Canada/U.S. dollar exchange rate forecasting. ANN outperform random walk and linear models in a number of recursive out-of- sample forecasts.

The relative productivity gap between Canada and the United States is a controversial subject matter. One argument especially contentious in this debate stems from the belief that the gradual depreciation of the Canadian dollar over the last 20 years has been one of the determinants of the productivity gap.

Extreme value theory (EVT) has been applied in fields such as hydrology and insurance. It is a tool used to consider probabilities associated with extreme and thus rare events. EVT is useful in modelling the impact of crashes or situations of extreme stress on investor portfolios.

In this study, the author presents a new forecast and analysis model for the U.S. economy (i.e., the USM model) constructed at the Bank of Canada. The USM has a number of advantages over its predecessor, the VSM model.