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The prices of commodities produced in Canada have important implications for the performance of the Canadian economy and the conduct of monetary policy. The authors explain an important change to the methodology used to construct the Bank of Canada commodity price index (BCPI).

Éric Chouinard and Graydon Paulin review the progress to date in implementing Basel III, the new framework of global regulatory standards for the banking sector developed by the Basel Committee on Banking Supervision. The report highlights the expected net benefits of implementing Basel III, as well as the challenges in ensuring international consistency in measuring the risk-weighted capital of banks. It includes a discussion on how implementing Basel III has affected the banking system in Canada and other important jurisdictions, and demonstrates the need for ongoing assessment of the effects on the financial system and the macroeconomy.

Given the increasing interdependence of both financial systems and attendant payment and settlement systems a vital question is what form should optimal policy take when there are two connected payment systems with separate regulators.

Monte Carlo evidence has made it clear that asymptotic tests based on generalized method of moments (GMM) estimation have disappointing size. The problem is exacerbated when the moment conditions are serially correlated.

We provide an updated evaluation of the value of various measures of core inflation that could be used in the conduct of monetary policy. We find that the Bank of Canada’s current preferred measures of core inflation—CPI-trim, CPI-median and CPI-common—continue to outperform alternative core measures across a range of criteria.

The COVID-19 pandemic significantly increased the demand for cash. Cash in circulation increased sharply from March through December 2020, particularly in the early months of this period. Although use of electronic methods of payment also increased significantly, cash use for payments remains high for low-value transactions and among certain demographic groups.

We develop a model that links investors’ decisions to enter or exit the Bitcoin market with their beliefs about the survival of Bitcoin. Empirical testing using Canadian data reveals that beliefs strongly influence both entries and exits, and this impact varies with time and ownership status.

Using identification-robust methods, the authors estimate and evaluate for Canada and the United States various classes of inflation equations based on generalized structural Calvo-type models. The models allow for different forms of frictions and vary in their assumptions regarding the type of price indexation adopted by firms.

Using a panel logit framework, the paper provides an estimate of the likelihood of a house price correction in 18 OECD countries. The analysis shows that a simple measure of the degree of house price overvaluation contains a lot of information about subsequent price reversals.

Work on testing for bubbles has caused much debate, much of which has focussed on methodology. Monte Carlo simulations reported in Evans (1991) showed that standard tests for unit roots and cointegration frequently reject the presence of bubbles even when such bubbles are present by construction. Evans referred to this problem as the pitfall of testing for bubbles.