The New Benchmark for Forecasts of the Real Price of Crude Oil Staff working paper 2020-39 Amor Aniss Benmoussa, Reinhard Ellwanger, Stephen Snudden How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C1, C5, C53, Q, Q4, Q47 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting
Outlook for Electric Vehicles and Implications for the Oil Market Staff analytical note 2019-19 Étienne Latulippe, Kun Mo The market for electric vehicles (EVs) is growing rapidly. Subsidies and technological improvements are expected to increase the market share of EVs over the coming decade. In its base-case scenario, the International Energy Agency (IEA) expects EV use to rise from 4 million vehicles in 2018 to 120 million by 2030, or from 0.3 per cent to over 7 per cent of the global car fleet. Content Type(s): Staff research, Staff analytical notes JEL Code(s): Q, Q4, Q47 Research Theme(s): Monetary policy, Real economy and forecasting, Structural challenges, Climate change, International trade, finance and competitiveness
Crude Oil Prices and Fixed-Asset Cash Spending in the Oil and Gas Industry: Findings from VAR Models Staff analytical note 2016-8 Farrukh Suvankulov This note investigates the relationship between crude oil prices and investment in the energy sector. We employ a set of vector autoregression (VAR) models (unconstrained VAR, vector error-correction and Bayesian VAR) to formalize the relationship between the West Texas Intermediate (WTI) benchmark and fixed-asset cash spending in the oil and gas extraction and support activities sector of the Canadian economy. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E2, E22, E27, Q, Q4, Q43, Q47 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting