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This issue features three articles that present research and analysis by Bank of Canada staff. The first updates previous Bank estimates of measurement bias in the Canadian consumer price index; the second uses a new term-structure model to analyze the relationship between the short-term policy rate and long-term interest rates; and the third examines indicators of balance-sheet risks at financial institutions in Canada.

We document the outcome of an options decimalization pilot on Canada’s derivatives exchange. Decimalization improves measures of liquidity and price efficiency. The impact differs by the moneyness of an option and is greatest for out-of-the-money options.

I study the links between Canadian banks and non-bank financial intermediaries (NBFIs) by observing co-movements in stock prices. Perceived interconnections increased before the COVID-19 pandemic but have since stabilized, with the strongest ties seen between large banks and NBFIs. The secured credit line extended to Home Trust, a non-bank mortgage lender that experienced severe funding stress in 2017, significantly reduced banks' risk exposure to NBFIs during this episode.

This article examines recent research on the influence of various forms of economic uncertainty on the performance of different classes of monetary policy rules: from simple rules to fully optimal monetary policy under commitment. The authors explain why uncertainty matters in the design of monetary policy rules and provide quantitative examples from the recent literature. They also present results for several policy rules in ToTEM, the Bank of Canada's main model for projection and analysis, including rules that respond to price level, rather than to inflation.

Trade liberalizations increase the sales and input purchases of productive firms relative to their less productive domestic competitors. This reallocation affects firms’ market power in their product and input markets. I quantify how the labour market power of employers affects the distribution and size of the gains from trade.

We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices.

Digital payments and decentralized systems enable the creation of new financial products and services for users. One core challenge in digital payments is the need to protect users from fraud and abuse while retaining privacy in individual transactions. We propose a pseudonymous credential scheme for use in payment systems to tackle this problem.

Since the creation of Bitcoin in 2009, over 2,000 cryptocurrencies have been issued. We evaluate how well a cryptocurrency functions as a payment system.

We consider two trade-offs inherent to extraordinary forward guidance (EFG): potency versus flexibility, and the credibility of forward guidance versus the credibility of inflation targeting. We argue that the form of EFG used by the Bank of Canada during the COVID‑19 pandemic balanced both trade-offs relatively well.

We propose a simple, model-free way to measure selection in price setting and its contribution to inflation dynamics. The proposed measure of price selection is based on the observed comovement between inflation and the average level from which adjusting prices depart.