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Indeed, the global financial crisis of the past two years has presented unique, stressful challenges that have forced us all to assess what has worked well and what needs to change. Today, I would like to review some of the critical thinking around these issues, primarily from the perspective of our work at the Bank of Canada.

We decompose the variance risk premium into upside and downside variance risk premia. These components reflect market compensation for changes in good and bad uncertainties. Their difference is a measure of the skewness risk premium (SRP), which captures asymmetric views on favorable versus undesirable risks.

We construct a dataset on Federal Reserve and Bank of Canada non-rate announcement events to provide novel insights into how foreign and domestic monetary policy communications affect the financial markets of open economies. We find that Fed non-rate communications have a stronger impact on long-term interest rates and stock futures, while Bank of Canada communications are relatively more important for short-term interest rates and the exchange rate.

Technology, risk tolerance and regulation may influence dealers to reduce their trading as principals (using their own balance sheets for sales and purchases of securities) in favour of agency trading (matching client trades).

We study the distribution of political speech across U.S. firms. We develop a measure of political engagement based on firms’ communications (earning calls, regulatory filings, and social media) by training a large language model to identify statements that contain political opinions. Using these data, we document five facts about firms’ political engagement.

Exporters frequently change their market destinations. This paper introduces a new approach to identifying the drivers of these decisions over time. Analysis of customs data from China and the UK shows most changes are driven by demand rather than supply-related shocks.

Using the Bank for International Settlements (BIS) Locational Banking Statistics data on bilateral bank claims from 1995 to 2014, we analyze the impact of monetary policy on cross-border bank flows. We find that monetary policy in a source country is an important determinant of cross-border bank flows.

Models with default options are hard to solve. We propose an extension of the endogenous grid method that solves default risk models more efficiently and accurately.

The formulation of monetary policy at the Bank of Canada relies on the analysis of a broad set of economic information. Greater availability of immediate and detailed information would improve real-time economic decision making. Technological advances have provided an opportunity to exploit “big data” - the vast amount of digital data from business transactions, social media and networked computers. Big data can be a complement to traditional information sources, offering fresh insight for the monitoring of economic activity and inflation.

Firms that grow rapidly have the potential to usher in new innovations, products or processes (Kogan et al. 2017), become superstar firms (Haltiwanger et al. 2013) and impact the aggregate labour share (Autor et al. 2020; De Loecker et al. 2020). We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data.