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The authors examine how the valuation multiples assigned to the equity of Canadian-listed firms compare with the equity of comparable firms listed in the United States. They find that Canadian-listed firms trade at a discount to U.S.-listed firms across a range of valuation measures.

The Large Value Transfer System (LVTS) is Canada’s main electronic interbank funds transfer system that financial institutions use daily to transmit thousands of payments worth several billions of dollars.

The Federal Reserve’s quantitative easing (QE) program has been accompanied by a flow of funds into emerging-market economies (EMEs) in search of higher returns.

Although dealership government and equity securities have, on the surface, similar market structures, the author demonstrates that some subtle differences exist between them that are likely to significantly affect the way market-makers trade, and as such have an impact on the liquidity that they provide.

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.

The authors estimate and solve a small structural model for the euro area over the 1983–2000 period. Given the assumption of rational expectations, the model implies a set of orthogonality conditions that provide the basis for estimating the model's parameter by generalized method of moments.

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.

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

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.

Real rigidities that limit the responsiveness of real marginal cost to output are a key ingredient of sticky price models necessary to account for the dynamics of output and inflation. We argue here, in the spirit of Bils and Kahn (2000), that the behavior of marginal cost over the cycle is directly related to that of inventories, data on which is readily available.