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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.

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.

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.

In this issue, Bank staff discuss recent developments in experimental macroeconomics, research results on price-level and unemployment thresholds in forward guidance, and the spillover effects of quantitative easing in advance economies. Articles also explore the competitiveness strategies of Canadian firms as well as their use of financial derivatives.

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.

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.

Until recently, few efforts have been made to systematically measure and aggregate the nominal value of the different types of sovereign government debt in default. To help fill this gap, the Bank of Canada (BoC) developed a comprehensive database of sovereign defaults that is posted on its website and updated in partnership with the Bank of England (BoE).

This report reviews the use of quantitative tools to gauge market participants’ assessment of banking system resilience. These measures complement traditional balance-sheet metrics and suggest that markets consider large Canadian banks to be better placed to weather adverse shocks than banks in other advanced economies. Compared with regulatory capital ratios, however, the measures suggest less improvement in banking system resilience since the pre-crisis period.