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In recent years, the Bank has put renewed emphasis on analyzing monetary variables and on developing models that incorporate money as an active part of the transmission mechanism. In this article, Dinah Maclean describes how the monetary aggregates are used in the formulation of monetary policy analysis at the Bank, outlining the key tools and models used. The most important money-based model currently in use is the M1-VECM. In this model, deviations in the money supply from the long-term demand for money cause changes in inflation. The author briefly describes the "active-money" paradigm underlying this model and explains the key equations within it. Other simpler empirical models are also outlined, including single-equation indicator models for output based on the narrow aggregates, a neural network, and a model based on the broader aggregate M2++. A detailed technical annex provides details on model equations and coefficient values.

The optimal currency literature has stressed the importance of labor mobility as a precondition for the success of monetary unions. But only a few studies formally link labor mobility to macroeconomic adjustment and policy. In this paper, we study macroeconomic dynamics and optimal monetary policy in an economy with cyclical labor flows across two distinct regions that share trade links and a common monetary framework.

Financial market expectations regarding future policy actions by the Bank of Canada are an important input into the Bank's decision-making process, and they can be measured using a variety of sources. The author develops a simple expectations-based model to focus on measuring interest rate expectations that are implied by the current level of money market yields.

Recent international experience with the effective lower bound on nominal interest rates has rekindled interest in the benefits of inflation targets above 2 per cent. We evaluate whether an increase in the inflation target to 3 or 4 per cent could improve macroeconomic stability in the Canadian economy.

This research develops a model in which the economy is directly influenced by how pessimistic or optimistic economic agents are about the future. The agents may hold different views and update them as new economic data become available.

The author explores the role of governance mechanisms as a means of reducing financial fragility. First, he develops a simple theoretical general-equilibrium model in which instability arises due to an agency problem resulting from a conflict of interest between the borrower and lender.

The author proposes and evaluates econometric models that try to explain and forecast real quarterly housing expenditures in Canada. Structural and leading-indicator models of the Canadian housing sector are described.

Can regulators keep pace with banks’ creative regulatory workarounds? Our analysis unpacks the trade-offs between fixed regulations and crisis-triggered rules, showing that the latter are especially prone to circumvention—and can trigger larger, costlier bailouts.

Oracles are constructs used in decentralized finance to price assets relative to each other. However, oracles contain defects that could lead to manipulation attacks. Such attacks exploit pricing models embedded within oracles to defraud creators and users. We automatically verify defects, which if mitigated, improves the security of digital currency.

The author develops the first comparative empirical study of bank failures during the nineties between East Asia and Latin America using bank-level data, in order to address the following two questions: (i) To what extent did individual bank conditions explain bank failures? (ii) Did mainly the weakest banks, in terms of their fundamentals, fail in the crisis countries?