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2188 Results

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.

The Heterogeneous Effects of COVID-19 on Canadian Household Consumption, Debt and Savings

Staff working paper 2020-51 James (Jim) C. MacGee, Thomas Michael Pugh, Kurt See
The impact of COVID-19 on Canadian households’ debt and unplanned savings varies by household income. Low-income and high-income households accrued unplanned savings, while middle-income households tended to accumulate more debt.

The Effect of Oil Price Shocks on Asset Markets: Evidence from Oil Inventory News

Staff working paper 2020-8 Ron Alquist, Reinhard Ellwanger, Jianjian Jin
We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news.

The Bank of Canada’s “Horse Race” of Alternative Monetary Policy Frameworks: Some Interim Results from Model Simulations

Staff discussion paper 2021-13 José Dorich, Rhys R. Mendes, Yang Zhang
Bank of Canada staff are running a “horse race” of alternative monetary policy frameworks in the lead-up to 2021 renewal of the Bank’s monetary policy framework. This paper summarizes some interim results of model simulations from their research.

Lending Standards, Productivity and Credit Crunches

Staff working paper 2019-25 Jonathan Swarbrick
We propose a macroeconomic model in which adverse selection in investment drives the amplification of macroeconomic fluctuations, in line with prominent roles played by the credit crunch and collapse of the asset-backed security market in the financial crisis.
August 4, 2010

Fellowship Award

Annual research grants and expense allowances for a term of up to five years.

Markov‐Switching Three‐Pass Regression Filter

We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes.
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