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Digital currencies have attracted strong interest in recent years and have the potential to become widely adopted for use in making payments. Public authorities and central banks around the world are closely monitoring developments in digital currencies and studying their implications for the economy, the financial system and central banks.

Walsh's paper highlights many useful lessons that can be learned from the conventional framework and its various extensions. However, the financial crisis provides a stark and costly reminder of just how incomplete the standard model is.

This paper studies the rapid increase since 2019 of Government of Canada (GoC) debt issuance alongside greater hedge fund participation at GoC bond auctions. We find a systematic relationship between GoC debt stock and hedge fund bidding shares at auction.

Examination of progress in the Bank’s exploration of two alternatives to the current inflation-targeting framework: (i) lowering the inflation target and (ii) shifting to a price-level target; a review of arguments for and against price-level targeting, focusing on its costs and benefits compared with inflation targeting; assessing the merits of price-level targeting vis-à-vis inflation targeting from a debt-revaluation perspective; quantifying redistribution of wealth in Canada in the face of unexpected inflation.

The premise that exchange rate pass-through has declined is critically reassessed; intensity in the negative feedback process between financial sector developments and the real economy during the recent global crisis is examined; update on past decade’s changing trends in debt issuance in Canada relative to those in other capital markets.

Using data on bank branch locations across Canada from 2008 to 2018, we explore an interesting aspect of bank branch competition—geographic concentration. We find that bank branch density does not correlate with geographic and market concentration; however, we do find strong correlation with postal-code demographics.

Bank of Canada Governor Tiff Macklem discusses how artificial intelligence could impact the economy, and outlines some of the implications for monetary policy.

Should monetary policy lean against housing market booms? We approach this question using a small-scale, regime-switching New Keynesian model, where housing market crashes arrive with a logit probability that depends on the level of household debt.

Given its size and importance for global commodity markets, the question of how fast the Chinese economy can grow over the medium term is an important one. This paper addresses this question by examining the evolution of the supply side of the Chinese economy over history and projecting how it will evolve over the next 15 years.