Search

The Bank of Canada recently launched a quarterly survey to measure the expectations of Canadian households: the Canadian Survey of Consumer Expectations (CSCE). The data collected provide comprehensive information about consumer expectations for and uncertainty about inflation, the labour market and household finance. This article describes the CSCE and illustrates its potential to offer rich information about Canadian consumers for researchers and policy-makers.

Non-default losses of financial market infrastructures (FMIs) have gained attention due to their potential impacts on FMIs and FMI participants, and the lack of a common approach to address them. A key question is, who should absorb these losses?

Consumers, businesses and banks make millions of payments each day using a variety of instruments, such as debit cards, cheques and wires. Canada is currently developing three new systems to process these transactions: Lynx, Settlement Optimization Engine (SOE) and Real-Time Rail (RTR).

Uncertainty surrounding the Bank of Canada’s future policy rates is measured using implied volatility computed from interest rate options and realized volatility computed from intraday prices of interest rate futures. Both volatility measures show that uncertainty decreased following major policy actions taken by the Bank in response to the 2007–09 financial crisis. Findings also indicate that, on average, uncertainty decreases following the Bank’s policy rate announcements.

This survey took place between August 2 and August 23, 2022. Follow-up interviews took place in September. Expectations for inflation one to two years ahead have continued to rise because consumers anticipate supply chain disruptions and elevated oil prices will persist. In contrast, expectations for inflation five years ahead have eased to near pre-pandemic levels. Still, consumers are more divided this quarter about where inflation will end up in the long term.

Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.

Derivatives exchanges often determine collateral requirements, which are fundamental to market safety, with dated risk models assuming normal returns. However, derivatives returns are heavy-tailed, which leads to the systematic under-collection of collateral (margin). This paper uses extreme value theory (EVT) to evaluate the cost of this margin inadequacy to market participants in the event of default.

As the title of the conference suggests, we have seen many boom-and-bust cycles in the commodity sector. This raises one obvious and central question: How can we avoid them in the future?

In many mainstream macroeconomic models, sticky prices play an important role in explaining the effects of monetary policy on the economy.

Forecasts of the quarterly real price of oil are routinely used by international organizations and central banks worldwide in assessing the global and domestic economic outlook, yet little is known about how best to generate such forecasts. Our analysis breaks new ground in several dimensions.