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As the title of my speech suggests, I would like to discuss the connections between the real economy – the tangible world of jobs, goods and services – and the more intangible world of finance – of money flows, interest rates and the stock market. They have a long and eventful history.

I propose a novel method to identify and estimate the macroeconomic effects of forward guidance and large-scale asset purchases (LSAP) for each FOMC announcement. I find that LSAP is more important than forward guidance in influencing output and inflation. LSAP puts upward pressure on short-term yields, so it should always be used in conjunction with forward guidance.

We break down the exchange rate based on an explicit link between fixed income and currency markets. We isolate a foreign exchange risk premium and show it is the main driver of the exchange rate between the Canadian and US dollars, especially on monetary policy and macroeconomic news announcement days.

This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure.

For central banks, conducting policy in an environment of uncertainty is a daily fact of life. This uncertainty can take many forms, ranging from incomplete knowledge of the correct economic model and data to future economic and geopolitical events whose precise magnitudes and effects cannot be known with certainty.

How much of a CBDC would Canadian households want to hold, and what design features of a CBDC would they care about?

We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment.

Our stress-testing tool considers banks under stress that can strategically manage their balance sheets. Using confidential Canadian supervisory data, we assess whether bank behaviour to maximize shareholder value can amplify a hypothetical stress scenario.

We study a government policy that restricts repayment choices with the aim of reducing credit card debt and estimate its effects by applying a difference-in-differences methodology to comprehensive credit-reporting data about Canadian consumers. We find the policy has trade-offs: reducing revolving debt comes at a cost of reducing credit access, and potentially increasing delinquency.

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.