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With inflation remaining low for the sixth consecutive year, the Canadian economy recorded a strong expansion of about 4 per cent through 1997.

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.

In the year just ended, the global economy faced a number of exceptional challenges, reflecting a wide range of economic, financial, and geopolitical risks and uncertainties. These included the fallout from the September 2001 terrorist attacks, corporate accounting scandals, stock market volatility, and developments in the Middle East. Despite this global backdrop, the Canadian economy outperformed virtually all other industrial economies, growing by about 3 1/4 per cent and creating 560,000 jobs, while inflation expectations remained well anchored to the Bank of Canada’s 2 per cent inflation-control target.

We propose an open-economy New Keynesian model with financial integration that allows financial intermediaries to hold foreign long-term bonds. We study the implications of financial integration on monetary policy transmission. Among various aspects of financial integration, the bond duration plays a major role. These results hold for conventional and unconventional monetary policies.

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

Our study aims to gain insight on financial stability and climate transition risk. We develop a methodological framework that captures the direct effects of a stressful climate transition shock as well as the indirect—or systemic—implications of these direct effects. We apply this framework using data from the Canadian financial system.

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

The five articles in this issue present research and analysis by Bank staff covering a variety of topics: the growth of Canadian-dollar-denominated assets in official foreign reserves; the emergence of platform-based digital currencies; methods of forecasting the real price of oil; measures of uncertainty in monetary policy; and the recent performance of the labour market in Canada and the United States.

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.