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3045 Results

What cured the TSX Equity index after COVID-19?

The TSX index rose by 9.5 percent in November 2020, adding large gains to an already sharp V-shaped recovery. The economic outlook improved at that time as well. We ask whether the stock market gains since last autumn are due to improving forecasts of firms’ earnings.

Total factor productivity growth projection for Canada: A sectoral approach

Staff Analytical Note 2024-12 Dany Brouillette, Tessa Devakos, Raven Wheesk
We propose a tool that decomposes TFP growth into sectoral contributions. The analysis incorporates three structural factors—digitalization, aging and climate change policies—and measures their contributions. Overall, we expect that aggregate TFP growth will slow down in the 2020s below both its historical average and the average from the 2010s.
Content Type(s): Staff research, Staff analytical notes Research Topic(s): Climate change, Digitalization, Labour markets, Productivity JEL Code(s): D, D2, D24, J, J1, J11, O, O3, O33, Q, Q5, Q54

Canadian Financial Stress and Macroeconomic Conditions

Staff Discussion Paper 2020-4 Thibaut Duprey
Severe disruptions in the financial markets, as observed during the 2008 global financial crisis or the COVID-19 pandemic, can impair the stability of the entire financial system and worsen macroeconomic downturns.

We Didn’t Start the Fire: Effects of a Natural Disaster on Consumers’ Financial Distress

We use detailed consumer credit data to investigate the impact of the 2016 Fort McMurray wildfire, the costliest wildfire disaster in Canadian history, on consumers’ financial stress. We focus on the arrears of insured mortgages because of their important implications for financial institutions and insurers’ business risk and relevant management practices.

International Transmission of Quantitative Easing Policies: Evidence from Canada

Staff Working Paper 2022-30 Serdar Kabaca, Kerem Tuzcuoglu
This paper examines the cross-border spillovers from major economies’ quantitative easing (QE) policies to their trading partners. We concentrate on spillovers from the US to Canada during the zero lower bound period when QE policies were actively used.

Menu Costs, Relative Prices, and Inflation: Evidence for Canada

Staff Working Paper 1997-14 Robert Amano, Tiff Macklem
The menu-cost models of price adjustment developed by Ball and Mankiw (1994;1995) predict that short-run movements in inflation should be positively related to the skewness and the variance of the distribution of disaggregated relative-price shocks in each period. We test these predictions on Canadian data using the distribution of changes in disaggregated producer prices to measure the skewness and standard deviation of relative-price shocks.
Content Type(s): Staff research, Staff working papers Research Topic(s): Inflation and prices, Monetary policy framework JEL Code(s): C, C5, C52, E, E3, E31

Speculators, Prices and Market Volatility

Staff Working Paper 2015-42 Celso Brunetti, Bahattin Buyuksahin, Jeffrey H. Harris
We analyze data from 2005 through 2009 that uniquely identify categories of traders to assess how speculators such as hedge funds and swap dealers relate to volatility and price changes. Examining various subperiods where price trends are strong, we find little evidence that speculators destabilize financial markets.

Modeling Fluctuations in the Global Demand for Commodities

Staff Working Paper 2018-4 Lutz Kilian, Xiaoqing Zhou
It is widely understood that the real price of globally traded commodities is determined by the forces of demand and supply. One of the main determinants of the real price of commodities is shifts in the demand for commodities associated with unexpected fluctuations in global real economic activity.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): F, F4, F44, Q, Q1, Q11, Q3, Q31, Q4, Q41, Q43

Firm Heterogeneity, Technological Adoption, and Urbanization: Theory and Measurement

Staff Working Paper 2017-27 Alex Chernoff
This paper develops a model of firm heterogeneity, technological adoption, and urbanization. In the model, welfare is measured by household real income, and urbanization is measured by population density. I use the model to derive statistics that measure the effect of a new technology on productivity, welfare, and urbanization.
Content Type(s): Staff research, Staff working papers Research Topic(s): Economic models, Productivity, Regional economic developments JEL Code(s): N, N6, N61, O, O1, O14, R, R1, R13
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