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During the past six months, global economic uncertainties have intensified, largely as a result of developments in emerging-market economies.

The Canadian economy regained strong momentum in 1999 as the U.S. economy remained vigorous, the global economy recovered, and commodity prices moved upwards.

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.

Since the May Report, the international economic environment has continued to improve. Economic activity abroad grew faster than expected, while inflation in the major economies remained subdued.

At the time of the November 2000 Monetary Policy Report, although signs of the anticipated slowing of the U.S. economy were becoming apparent, the momentum of the global economy was considered strong.

Over the past year, Canada’s economy has outperformed the economies of virtually all the other major industrial countries.

Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level.

Two major issues dominate the analysis and policy discussion in this Monetary Policy Report: the nature and extent of the global economic slowdown that began late last year and the consequences of the terrorist attacks in the United States.

This is the second in a series of semi-annual reports designed to increase the transparency and understanding of Canadian monetary policy.

Over the last six months, most countries have continued to register strong economic growth.