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The combination of rising current account surpluses in Asia and a growing current account deficit in the United States has raised concerns that the resulting imbalances pose a threat to the world economy, especially if they are reversed in a disorderly manner. Some experts believe that normal market forces will resolve these imbalances over time; others argue that policy-makers should facilitate the adjustment with policies that curb domestic demand in deficit countries and stimulate it in surplus countries. Little and Lafrance provide a guide to the major issues and controversies involved in the debate.

This paper compares the distributional effects of conventional monetary policy and quantitative easing (QE) within an estimated open-economy DSGE model of the euro area.

For central banks, conducting policy in an environment of uncertainty is a daily fact of life. This uncertainty can take many forms, ranging from incomplete knowledge of the correct economic model and data to future economic and geopolitical events whose precise magnitudes and effects cannot be known with certainty.

Consumption inequality and a low interest rate environment are two important trends in today’s economy. But the implications they may have—and how those implications interact—within different monetary policy frameworks are not well understood. We study the ranking of alternative frameworks that take these trends into account.

This report provides a detailed technical description of a stress test model for investment funds called Ceto.

We present the annual update of the Bank of Canada staff estimates for global potential output growth. These estimates served as key inputs to the analysis supporting the April 2026 Monetary Policy Report.

We document countercyclical corporate saving behavior with the degree of countercyclicality varying nonmonotonically with firm size. We then develop a dynamic stochastic general equilibrium model with heterogeneous firms to explain the pattern and study its implications for business cycles.

This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties.

This paper examines the effects of time-varying volatility on welfare. I construct a tractable endogenous growth model with recursive preferences, stochastic volatility, and capital adjustment costs.