October 6, 2022
Uncategorized
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Archetypes for a retail CBDC
A variety of technology designs could support retail central bank digital currency (CBDC) systems. We develop five archetypes of CBDC systems, outline their characteristics and discuss their trade-offs. This work serves as a framework to analyze and compare different designs, independent of vendor, platform and implementation. -
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Forecasting Banks’ Corporate Loan Losses Under Stress: A New Corporate Default Model
We present a new corporate default model, one of the building blocks of the Bank of Canada’s bank stress-testing infrastructure. The model is used to forecast corporate loan losses of the Canadian banking sector under stress. -
September 30, 2022
Research Update - September 2022
This monthly newsletter features the latest research publications by Bank of Canada economists including external publications and working papers published on the Bank of Canada’s website. -
September 28, 2022
Bank of Canada response to detailed review report
The Bank of Canada thanks the International Monetary Fund (IMF) for undertaking its thorough and thoughtful pilot review of the Bank under the new Central Bank Transparency Code (CBTC). We welcome the publication of this final review report by the IMF Mission Team and the associated recommendations. -
September 28, 2022
Bank of Canada welcomes IMF report following transparency review
The Bank of Canada today welcomed the publication by the International Monetary Fund (IMF) of its final report summarizing its pilot review of the Bank’s transparency practices. -
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Harnessing the benefit of state-contingent forward guidance
A low level of the neutral rate of interest increases the likelihood that a central bank’s policy rate will reach its effective lower bound (ELB) in future economic downturns. In a low neutral rate environment, using an extended monetary policy toolkit including forward guidance helps address the ELB challenge. Using the Bank’s Terms-of-Trade Economic Model, we assess the benefits and limitations of a state-contingent forward guidance implemented within a flexible inflation targeting framework. -
Behavioral Learning Equilibria in New Keynesian Models
We introduce behavioral learning equilibria (BLE) into DSGE models with boundedly rational agents using simple but optimal first order autoregressive forecasting rules. The Smets-Wouters DSGE model with BLE is estimated and fits well with inflation survey expectations. As a policy application, we show that learning requires a lower degree of interest rate smoothing.