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2125 Results

Assessing the Impact of Demographic Composition on Productivity

Staff discussion paper 2025-3 Justin-Damien Guénette, Lin Shao
We examine how demographic factors influence potential output, focusing on how the age distribution of the working-age population and the old-age dependency ratio affect aggregate productivity. Following Feyrer (2007), we emphasize that the contribution to aggregate productivity varies by age group, with middle-aged individuals (aged 40 to 49) being the most productive.

Assessing global potential output growth and the US neutral rate: April 2022

We expect global potential output growth to increase from 2.7% in 2021 to 2.9% by 2024. Compared with the April 2021 assessment, global potential output growth is marginally slower. The current range for the US neutral rate is 2% to 3%, 0.25 percentage points higher than staff’s last assessment.

The Macroeconomic Implications of Coholding

Staff working paper 2024-16 Michael Boutros, Andrej Mijakovic
Coholder households simultaneously carry high-cost credit card debt and low-yield cash. We study the implications of this behavior for fiscal and monetary policy, finding that coholder households have smaller consumption responses in the short run but larger responses in the long run.
August 23, 2003

Financial Developments in Canada: Past Trends and Future Challenges

Freedman and Engert focus on the changing pattern of lending and borrowing in Canada in the past thirty to forty years, including the types of financial instruments used and the relative roles of financial institutions and financial markets. They examine how borrowing mechanisms have changed over time and consider the challenges facing the Canadian financial sector, including whether our financial markets are in danger of disappearing because of the size and pre-eminence of U.S. financial markets. Some of the trends examined here include syndicated lending, securitization, and credit derivatives, a form of financial engineering that has become increasingly important in the last few years. They also study bond and equity markets to determine whether Canadian capital markets have been hollowed out or abandoned by Canadian firms and conclude that the data do not provide much support for that view.

Volatility Risk and Economic Welfare

Staff working paper 2017-20 Shaofeng Xu
This paper examines the effects of time-varying volatility on welfare. I construct a tractable endogenous growth model with recursive preferences, stochastic volatility, and capital adjustment costs.

The Impact of a Trade War: Assessment of the Current Tariffs and Alternative Scenarios

Staff analytical note 2019-20 Karyne B. Charbonneau
This note uses Charbonneau and Landry’s (2018) framework to assess the direct impact of the current trade tensions on the Canadian and global economies, as well as possible implications if the conflict escalates further. Overall, my findings show that the estimated impact of current tariffs on real gross domestic product (GDP) remains relatively small, which is in line with the literature on gains from trade, but the impact on trade is much larger.

Measuring Limits of Arbitrage in Fixed-Income Markets

Staff working paper 2017-44 Jean-Sébastien Fontaine, Guillaume Nolin
We use relative value to measure limits to arbitrage in fixed-income markets. Relative value captures apparent deviations from no-arbitrage relationships. It is simple, intuitive and can be computed model-free for any bond.
April 7, 2009

Price-Level Uncertainty, Price-Level Targeting, and Nominal Debt Contracts

Many central banks around the world have embraced inflation targeting as a monetary policy framework. Interest is growing, however, in price-level targeting as an alternative. The choice of frameworks has important consequences for financial contracts, most of which are not fully indexed to the price level. Changes in the price level therefore lead to changes in the real value of contracts.

Estimating Systematic Risk Under Extremely Adverse Market Conditions

Staff working paper 2016-22 Maarten van Oordt, Chen Zhou
This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties.
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