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550 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.

A Behavioral New Keynesian Model of a Small Open Economy Under Limited Foresight

Staff working paper 2023-44 Seunghoon Na, Yinxi Xie
This paper studies exchange rate dynamics by incorporating bounded rationality, that is, limited foresight, in a small open-economy model. This behavior of limited foresight helps explain several observations and puzzles in the data of exchange rate movements.

Digitalization: Implications for Monetary Policy

We explore the implications of digitalization for monetary policy, both in terms of how monetary policy affects the economy and in terms of data analysis and communication with the public.

The contribution of firm profits to the recent rise in inflation

Staff analytical note 2023-12 Panagiotis Bouras, Christian Bustamante, Xing Guo, Jacob Short
We measure the contribution to inflation from the growth in markups of Canadian firms. The dynamics of inflation and markups suggest that changes in markups could account for less than one-tenth of inflation in 2021. Further, they suggest that peak inflation was driven primarily by changes in the costs of firms.

Is Money Essential? An Experimental Approach

Monetary theory says that money is essential if it helps to achieve better incentive-feasible outcomes. We test this in the laboratory.

It takes a panel to predict the future: What the stock market says about future economic growth in Canada

Staff analytical note 2023-9 Greg Adams, Jean-Sébastien Fontaine
Valuation ratios in the Canadian stock market can help reveal investors’ expectations about future economic growth because the impact of economic growth on valuation ratios can vary across industries. We find that this variation helps produce accurate forecasts of future growth of real gross domestic product in Canada. The forecasts from our model declined by just over 3 percentage points between January 2022 and February 2023—a period when the Bank of Canada rapidly increased the overnight rate. As well, we find that interest-rate-sensitive industries had an outsized contribution to this expected slowdown in growth. 

Global Demand and Supply Sentiment: Evidence from Earnings Calls

Staff working paper 2023-37 Temel Taskin, Franz Ulrich Ruch
This paper quantifies global demand, supply and uncertainty shocks and compares two major global recessions: the 2008–09 Great Recession and the COVID-19 pandemic. We use two alternate approaches to decompose economic shocks: text mining techniques on earnings calls transcripts and a structural Bayesian vector autoregression model.

What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?

Staff discussion paper 2023-13 Marc-André Gosselin, Temel Taskin
We construct new indicators of demand and supply for the Canadian economy by using natural language processing techniques to analyze earnings calls of publicly listed firms. Our results indicate that the new indicators could help central banks identify inflationary pressures in real time.

Why Consumers Disagree About Future Inflation

Staff discussion paper 2023-11 Naveen Rai, Patrick Sabourin
Since 2022, consumer inflation expectations have shifted, with a significant increase in those expecting high inflation in the coming year and a surge in those expecting deflation further in the future. Using data from the Canadian Survey of Consumer Expectations, this paper seeks to assess the factors that influence people to expect high inflation, moderate inflation or deflation.

Markups and inflation during the COVID-19 pandemic

Staff analytical note 2023-8 Olga Bilyk, Timothy Grieder, Mikael Khan
We find that prices and costs for consumer-oriented firms moved roughly one-for-one during the COVID-19 pandemic. This means firms fully passed rising costs through to the prices they charged. However, our results are suggestive, given data limitations and the uncertainty associated with estimating markups.
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