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3045 Results

The Bank of Canada's Version of the Global Economy Model (BoC-GEM)

Technical Report No. 98 René Lalonde, Dirk Muir
The Bank of Canada's version of the Global Economy Model (BoC-GEM) is derived from the model created at the International Monetary Fund by Douglas Laxton (IMF) and Paolo Pesenti (Federal Reserve Bank of New York and National Bureau of Economic Research).

Selection of the Truncation Lag in Structural VARs (or VECMs) with Long-Run Restrictions

Staff Working Paper 1995-9 Alain DeSerres, Alain Guay
authors examine the issue of lag-length selection in the context of a structural vector autoregression (VAR) and a vector error-correction model with long-run restrictions. First, they show that imposing long-run restrictions implies, in general, a moving-average (MA) component in the stationary multivariate representation. Then they examine the sensitivity of estimates of the permanent and transitory […]

Understanding DeFi Through the Lens of a Production-Network Model

Staff Working Paper 2023-42 Jonathan Chiu, Thorsten Koeppl, Hanna Yu, Shengxing Zhang
We develop a production-network model to capture how decentralized finance (DeFi) has evolved across different sectors of financial services. The model allows us to measure the value added by different DeFi sectors and to study how the connections across the sectors influence token prices.

The Term Structures of Loss and Gain Uncertainty

We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Econometric and statistical methods JEL Code(s): G, G1, G12

Seasonal Adjustment of Weekly Data

Staff Discussion Paper 2024-17 Jeffrey Mollins, Rachit Lumb
The industry standard for seasonally adjusting data, X-13ARIMA-SEATS, is not suitable for high-frequency data. We summarize and assess several of the most popular seasonal adjustment methods for weekly data given the increased availability and promise of non-traditional data at higher frequencies.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C4, C5, C52, C8, E, E0, E01, E2, E21

A Review of the Bank of Canada’s Market Operations Related to COVID-19

Staff Discussion Paper 2023-6 Grahame Johnson
This paper reviews the range of extraordinary programs launched by the Bank of Canada in response to the pandemic-related financial market disruption. It provides some recommendations for future interventions to ensure the programs are appropriately structured for the financial and economic stresses they are intended to address.
August 17, 2001

The Changing Effects of Energy-Price Shocks on Economic Activity and Inflation

In this article the author examines the effects that major changes in energy prices in recent years have had on inflation and on the pace of economic expansion. These are then compared with the effects of the oil-price shocks that occurred in the 1970s and early 1980s. Changes in the intensity of energy use are examined, as well as developments in Canada's merchandise trade surplus in energy commodities and products. The author also considers the effects that a monetary policy anchored to low and stable inflation could have on price-setting behaviour and thus on the pass-through of higher energy costs to core inflation in Canada and in other industrial countries.
August 16, 2012

Measurement Bias in the Canadian Consumer Price Index: An Update

The consumer price index (CPI) is the most commonly used measure to track changes in the overall level of prices. Since it departs from a true cost-of-living index, the CPI is subject to four types of measurement bias—commodity substitution, outlet substitution, new goods and quality adjustment. The author updates previous Bank of Canada estimates of measurement bias in the Canadian CPI by examining these four sources of potential bias. He finds the total measurement bias over the 2005–11 period to be about 0.5 percentage point per year, consistent with the Bank’s earlier findings. Slightly more than half of this bias is caused by the fixed nature of the CPI basket of goods and services.
Content Type(s): Publications, Bank of Canada Review articles Research Topic(s): Inflation and prices, Inflation targets JEL Code(s): E, E3, E31, E5, E52
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