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This article focuses on a quantitative method to identify financial system vulnerabilities, specifically, an imbalance indicator model (IIM) and its application to Canada. An IIM identifies potential vulnerabilities in a financial system by comparing current economic and financial data with data from periods leading up to past episodes of financial stress. It complements other sources of information - including market intelligence and regular monitoring of the economy - that policy-makers use to assess vulnerabilities.

We use retail payment data in conjunction with machine learning techniques to predict the effects of COVID-19 on the Canadian economy in near-real time. Our model yields a significant increase in macroeconomic prediction accuracy over a linear benchmark model.

The household debt-to-disposable income ratio in Canada increased from 110 per cent in 1999 to 127 per cent in 2007. This increase has raised questions about the ability of households to service their increased debt if faced with a negative economic or socio-economic shock.

One way of internalizing the externalities that each individual bank imposes on the rest of the financial system is to impose capital surcharges on them in line with their systemic importance.

This paper reviews the existing theoretical and empirical literature addressing the benefits of low inflation. The ultimate goal is to arrive at a set of benefits in which a monetary authority can have genuine confidence. I argue that the current state of economic research—both empirical and theoretical—provides little basis for believing in significant observable benefits […]

The research findings highlighted in this article suggest that firm-size differences play a significant role in explaining the productivity gap between Canada and the United States. The authors review factors that lead to a positive relationship between productivity and size and then look at Canadian evidence of this relationship at the firm level. They quantify the extent to which the change in Canadian productivity as well as the Canada-U.S. productivity differences can be accounted for by the change in the importance of large firms and identify several factors that play a role in determining average firm size and aggregate productivity.

We present a two-country model featuring risky lending and cross-border interbank market frictions.

We construct a small-open-economy, New Keynesian dynamic stochastic general-equilibrium model with real-financial linkages to analyze the effects of financial shocks and macroprudential policies on the Canadian economy. Our model has four key features.

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.

This paper attempts to reduce the uncertainty about the dynamics of the monetary transmission mechanism. Central to this attempt is the identification of monetary policy shocks. Recently, VAR approaches that use over-identifying restrictions have shown success in isolating such shocks.