C53 - Forecasting and Prediction Methods; Simulation Methods - Bank of Canada
https://www.bankofcanada.ca/rss-feeds/
Bank of Canada RSS Feedsen2024-03-29T14:05:32+00:00GDP by Industry in Real Time: Are Revisions Well Behaved?
https://www.bankofcanada.ca/2018/12/staff-analytical-note-2018-40/
The monthly data for real gross domestic product (GDP) by industry are used extensively in real time both to ground the Bank of Canada’s monitoring of economic activity and in the Bank’s nowcasting tools, making these data one of the most important high-frequency time series for Canadian nowcasting.2018-12-06T12:18:19+00:00enGDP by Industry in Real Time: Are Revisions Well Behaved?2018-12-06Nowcasting Canadian Economic Activity in an Uncertain Environment
https://www.bankofcanada.ca/2018/08/staff-discussion-paper-2018-9/
This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components.2018-08-16T10:19:35+00:00enNowcasting Canadian Economic Activity in an Uncertain Environment2018-08-16Econometric and statistical methodsStaff Discussion Paper 2018-9https://www.bankofcanada.ca/wp-content/uploads/2018/08/sdp2018-9.pdfNowcasting Canadian Economic Activity in an Uncertain EnvironmentTony ChernisRodrigo SekkelAugust 2018CC5C53EE3E37E5E52State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models
https://www.bankofcanada.ca/2018/03/staff-working-paper-2018-14/
Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.2018-03-16T10:40:23+00:00enState Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models2018-03-16Econometric and statistical methodsInflation and pricesStaff Working Paper 2018-14https://www.bankofcanada.ca/wp-content/uploads/2018/03/swp2018-14.pdf"State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models"Luis UzedaMarch 2018CC1C11C15C5C51C53Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation
https://www.bankofcanada.ca/2018/03/staff-working-paper-2018-10/
We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).2018-03-09T10:53:00+00:00enDismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation2018-03-09Econometric and statistical methodsInflation and pricesPotential outputStaff Working Paper 2018-10https://www.bankofcanada.ca/wp-content/uploads/2018/03/swp2018-10.pdfDismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting InflationLise PichetteMarie-Noëlle RobitailleMohanad SalamehPierre St-AmantMarch 2018CC5C53EE3E37