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The authors describe the liabilities model of the Exchange Fund Account (EFA). The EFA is managed using an asset-liability matching framework that requires currency and duration matching of both sides of the balance sheet.

We use Bayesian predictive decision synthesis to formalize monetary policy decision-making. We develop a case-study of monetary policy decision-making of an inflation-targeting central bank using multiple models in a manner that considers decision goals, expectations and outcomes.

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.

This paper presents a dynamic general equilibrium model where asymmetric information about asset quality leads to asset illiquidity. Banking arises endogenously in this environment as banks can pool illiquid assets to average out their idiosyncratic qualities and issue liquid liabilities backed by pooled assets whose total quality is public information.

Since the autumn of 1997, the regional offices of the Bank of Canada have conducted quarterly consultations with businesses across Canada. Timed to feed into the process that precedes the Bank's fixed dates for announcing monetary policy decisions, the consultations (now referred to as the Business Outlook Survey) are structured around a questionnaire which is sent to 100 firms that reflect the Canadian economy in terms of region, type of business activity, and firm size. Martin describes both the consultation process and the questionnaire and makes an initial assessment of the data gathered during the business interviews. The article includes charts and correlation tables that illustrate the responses to the key questions included in the survey.

Offline functionality is a key consideration for a potential CBDC. We describe the different types of offline functionality based on their duration outside of network connection—either intermittent (for short periods) or extended (for longer periods). We discuss the advantages and drawbacks of each and consider implications for end-user devices, system resilience and universal accessibility.

Canada’s Short-Term Indicator (CSI) is a new model that exploits the information content of 32 indicators to produce daily updates to forecasts of quarterly real GDP growth. The model is a data-intensive, judgment-free approach to short-term forecasting. While CSI’s forecasts at the start of the quarter are not very accurate, the model’s accuracy increases appreciably as more information becomes available. CSI is the latest addition to a wide range of models and information sources that the Bank of Canada uses, combined with expert judgment, to produce its short-term forecasts.

We analyze the interaction between committed monetary policy and discretionary fiscal policy in a model with public debt, endogenous government expenditures, distortive taxation and nominal rigidities.

Text of major 1995 lecture by Bank Governor Gordon Thiessen, plus articles from Bank of Canada Review and other sources

We examine the relationship between firms’ performance and credit constraints affecting export market entry. Using administrative Canadian firm-level data, our findings show that new exporters (a) increase their productivity, (b) raise their leverage ratio and (c) increase investment. We estimate that 48 percent of Canadian manufacturers face binding credit constraints when deciding whether to enter export markets.