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2172 Results

Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis

Staff working paper 2023-45 Tony Chernis
I show how to combine large numbers of forecasts using several approaches within the framework of a Bayesian predictive synthesis. I find techniques that choose and combine a handful of forecasts, known as global-local shrinkage priors, perform best.

Canada’s Monetary Policy Report: If Text Could Speak, What Would It Say?

Staff analytical note 2019-5 André Binette, Dmitri Tchebotarev
This note analyzes the evolution of the narrative in the Bank of Canada’s Monetary Policy Report (MPR). It presents descriptive statistics on the core text, including length, most frequently used words and readability level—the three Ls. Although each Governor of the Bank of Canada focuses on the macroeconomic events of the day and the mandate of inflation targeting, we observe that the language used in the MPR varies somewhat from one Governor’s tenure to the next.

Learning, Equilibrium Trend, Cycle, and Spread in Bond Yields

Staff working paper 2020-14 Guihai Zhao
This equilibrium model explains the trend in long-term yields and business-cycle movements in short-term yields and yield spreads. The less-frequent inverted yield curves (and less-frequent recessions) after the 1990s are due to recent secular stagnation and procyclical inflation expectations.

International Banking and Cross-Border Effects of Regulation: Lessons from Canada

Staff working paper 2016-34 H. Evren Damar, Adi Mordel
We study how changes in prudential requirements affect cross-border lending of Canadian banks by utilizing an index that aggregates adjustments in key regulatory instruments across jurisdictions.
February 8, 2018

At the Crossroads: Innovation and Inclusive Growth

Remarks Carolyn A. Wilkins G7 Symposium on Innovation and Inclusive Growth Montebello, Quebec
Senior Deputy Governor Carolyn A. Wilkins discusses technological progress and how policy-makers can harness it for economic growth that benefits everyone.

CANVAS: A Canadian Behavioral Agent-Based Model

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.

Endogenous Time Variation in Vector Autoregressions

Staff working paper 2020-16 Danilo Leiva-Leon, Luis Uzeda
We introduce a new class of time-varying parameter vector autoregressions (TVP-VARs) where the identified structural innovations are allowed to influence — contemporaneously and with a lag — the dynamics of the intercept and autoregressive coefficients in these models.

Capital Structure, Pay Structure and Job Termination

Staff working paper 2016-12 Jason Allen, James R. Thompson
We develop a model to analyze the link between financial leverage, worker pay structure and the risk of job termination. Contrary to the conventional view, we show that even in the absence of any agency problem among workers, variable pay can be optimal despite workers being risk averse and firms risk neutral.

Cash in the Pocket, Cash in the Cloud: Cash Holdings of Bitcoin Owners

Staff working paper 2022-26 Daniela Balutel, Christopher Henry, Kim Huynh, Marcel Voia
We estimate the effect that owning Bitcoin has on the amount of cash held by Canadian consumers. Our results question the view that adopting certain new technologies, such as Bitcoin, leads to a decline in cash holdings.
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