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This issue includes analysis of the unconventional monetary policies recently implemented by central banks, and also presents Bank research in two areas - the migration of labour between economic regions in Canada, and the asset-allocation and funding decisions for Canada’s foreign exchange reserves.

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.

Beginning with a review of the adoption of inflation targeting in a broad group of countries, Paulin focuses on changes in the design of inflation-targeting frameworks in light of fifteen years of accumulated experience. Included in the discussion are the use of numerical targets and ranges, the policy horizon, supporting institutional policy structures, and communication, including the publication of forecasts. A recurring theme is how much flexibility an inflation-targeting regime allows. The article concludes that the changes made to the frameworks have been relatively modest since their adoption, but in concert with the improved credibility that has resulted from central banks meeting their inflation-control targets, they have allowed an increasingly nuanced response to economic shocks.

I know that risk is ever-present in your work, as you fulfill your commitments to the beneficiaries and sponsors of your pension plans. Important risks surround the investment performance of those plans, as well as the value of pension liabilities.

Bank of Canada Governor Mark Carney discusses the “cornerstones of Canada’s prosperity.”

I am delighted to be with you this evening to celebrate the 35th annual meeting of the Mennonite Savings and Credit Union. On this occasion, I propose to speak about the Canadian economy and monetary policy. But given this audience, I thought I might start with some remarks on the future of the Canadian financial sector - a subject that has certainly grabbed its share of headlines over the past year!

We analyze monetary policy responses to AI in a two-sector New Keynesian model, distinguishing augmentation and automation. Both reduce labor demand, requiring accommodation that creates inflation trade-offs. Automation worsens them. Aggregate inflation depends on AI’s form and breadth, making policy stabilization more complex and aggregate data potentially misleading.

Allen and Engert report on recent research at the Bank of Canada on various aspects of efficiency in the Canadian banking industry. This research suggests that, overall, Canadian banks appear to be relatively efficient producers of financial services and they do not exercise monopoly or collusive-oligopoly power. The authors note the value of continuing to investigate opportunities to improve efficiency and competition in financial services in Canada.

Following the recent financial crisis, major central banks have introduced several types of unconventional monetary policy measures, including liquidity and credit facilities, asset purchases and forward guidance. To date, these measures appear to have been successful. They restored market functioning, facilitated the transmission of monetary policy and supported economic activity. They have potential costs, however, including challenges related to the greatly expanded balance sheets of central banks and the eventual exit from these measures, as well as the vulnerabilities that can arise from prolonged monetary accommodation.

Economic growth in Canada is expected to average 2.1 per cent in 2015 and 2.4 per cent in 2016, with a return to full capacity around the end of 2016.