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2980 Results

Household Risk Assessment Model

Technical Report No. 106 Brian Peterson, Tom Roberts
Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level.
Content Type(s): Staff research, Technical reports Research Topic(s): Financial stability, Housing, Sectoral balance sheet JEL Code(s): C, C0, C6, C63, C65, D, D0, D1, D14
May 11, 1998

The use of forward rate agreements in Canada

In this article, the authors identify forward rate agreements, or FRAs, as short-term interest rate guarantee instruments negotiated by two parties, one of which is typically a bank. In outlining the main features of FRAs, the authors contrast them with BAX contracts (futures contracts on bankers' acceptances that are negotiated through the Montreal Exchange). The article then describes how market participants use FRAs to cover short-term interest rate risk. The final section deals with the way the Bank of Canada uses information from the FRA market as an indicator of interest rate expectations. Econometric models used to retrieve information from FRA rates, as well as the underlying assumptions, are discussed in an appendix.
May 9, 2024

Financial Stability Report—2024

Canada’s financial system remains resilient. Over the past year, households, businesses, banks and non-bank financial institutions have continued to proactively adjust to higher interest rates. But this adjustment is not yet over and continues to present risks to financial stability. Key risks include those related to debt serviceability and asset valuations.
August 18, 2011

Introducing Multiple Interest rates in ToTEM

This article describes changes to the structure of ToTEM—the Bank of Canada’s main model for projection and policy analysis—that allow an independent role for long-term interest rates, as well as for the risk spreads that lead to differences in the interest rates faced by households, firms and the government. These changes broaden the range of policy questions that the model can address and improve its ability to explain data. The authors use the model to simulate the effects of shocks to the risk spreads on interest rates similar to those that occurred during the recent financial crisis. They also use the model to assess the macroeconomic impact of higher requirements for bank capital and liquidity.
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