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Inflation-targeting frameworks have remained relatively stable over the past few years despite significant challenges, including prolonged low inflation, a large negative commodity price shock and rising financial stability concerns in some economies. The tools used by central banks have, however, evolved substantially. This article provides a survey of the developments in the inflation-targeting frameworks of 10 central banks in advanced economies that correspond to the three research areas of the Bank of Canada’s 2016 renewal: the level of the inflation target, the measurement of core inflation and financial stability considerations in the formulation of monetary policy.

The giant emerging-market economies of China and India are truly changing the economic balance across the Pacific in a way that none of us can afford to ignore. The sheer size of these two economies is very impressive in itself: together, they account for close to 40 per cent of the world's population.

One argument for central bank digital currencies (CBDCs) is that without them, private and foreign digital monies could displace domestic currencies, threatening the central bank’s monetary policy and lender of last resort capabilities. I revisit this monetary sovereignty rationale and offer a wider view—one that considers a broader set of currency functions and captures important cross-country variation.

Since 2009, the G-20 Framework for Strong, Sustainable and Balanced Growth has provided a mechanism for international macroeconomic policy coordination. The Framework has had some successes, including agreement on objectives for fiscal consolidation. However, post-crisis global growth has been neither strong nor balanced. Progress has also been slow in developing credible fiscal consolidation plans in some advanced countries and in increasing exchange rate flexibility in certain emerging economies. A stronger peer review process and enhanced analysis of international spillovers would increase the Framework’s influence on member policies.

Latency delays—known as “speed bumps”—are an intentional slowing of order flow by exchanges. Supporters contend that delays protect market makers from high-frequency arbitrage, while opponents warn that delays promote “quote fading” by market makers. We construct a model of informed trading in a fragmented market, where one market operates a conventional order book and the other imposes a latency delay on market orders.

While quantitative easing (QE) in the United States likely increased capital flows to emerging-market economies (EMEs), putting upward pressure on asset prices and exchange rates, diverging fundamentals between advanced economies and EMEs were also important drivers. Evidence suggests that the benefits of QE to EMEs, in higher global demand and increased confidence, appear to outweigh the costs. When advanced economies begin to normalize monetary policy, the best defence for EMEs against any potential instability is likely to be further strengthening of their macroeconomic and financial policy frameworks.

Central banks communicate the results of open market operations. This helps participants in financial markets more accurately estimate the prevailing demand and supply conditions in the market for overnight loans.

The emergence of digital currencies such as Bitcoin and the underlying blockchain and distribution ledger technology have attracted significant attention. These developments have raised the possibility of considerable impacts on the financial system and perhaps the wider economy.

The Canadian Financial Monitor (CFM) survey uses non-probability sampling for data collection, so selection bias is likely. We outline methods for obtaining survey weights and discuss the conditions necessary for these weights to eliminate selection bias. We obtain calibration weights for the 2018 and 2019 online CFM samples.