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We propose a tractable, model-based stress-testing framework where the solvency risks, funding liquidity risks and market risks of banks are intertwined.

This paper studies, theoretically and empirically, the unintended consequences of mandatory retention rules in securitization. It proposes a novel model showing that while retention strengthens monitoring, it may also encourage banks to shift risk.

Financial market expectations regarding future policy actions by the Bank of Canada are an important input into the Bank's decision-making process, and they can be measured using a variety of sources. The author develops a simple expectations-based model to focus on measuring interest rate expectations that are implied by the current level of money market yields.

This paper combines loan-level administrative data with household-level survey data to analyze the impact of recent macroprudential policy changes in Canada using a microsimulation model of mortgage demand of first-time homebuyers.

We summarize the review and renewal process at four central banks (Reserve Bank of New Zealand, Bank of England, Sveriges Riksbank and the US Federal Reserve Bank) and compare them with the process at the Bank of Canada, which has been well-established since 2001.

In the months preceding the failure of Lehman Brothers in September 2008, banks were willing to pay a premium over the Federal Reserve’s discount window (DW) rate to participate in the much less flexible Term Auction Facility (TAF). We empirically test the predictions of a new signalling model that offers a rationale for offering two different liquidity facilities.

The early work of Tobin (1958) showed that portfolio allocation decisions can be reduced to a two stage process: first decide the relative allocation of assets across the risky assets, and second decide how to divide total wealth between the risky assets and the safe asset. This so called twofund separation relies on special assumptions on either returns or preferences.

The Bank of Canada’s current suite of models faces challenges in addressing network effects that integrate household and firm-level heterogeneity and their behaviours. We develop CANVAS, a Canadian behavioural agent-based model to contribute to the Bank’s next-generation modelling effort. CANVAS improves forecasting performance and expands capacity for model-based scenario analysis.

The present paper shows that, everything else equal, some transactions to transfer portfolio credit risk to third-party investors increase the insolvency risk of banks. This is particularly likely if a bank sells the senior tranche and retains a sufficiently large first-loss position.

Central banks conduct research involving in-depth interviews with external parties—but little is known about how this information affects monetary policy. We address this gap by analyzing open-ended interviews with senior central bank economic and policy staff who work closely with policy decision-makers.