Real-Time Analysis of Oil Price Risks Using Forecast Scenarios

36 Pages Posted: 22 Dec 2011

See all articles by Christiane Baumeister

Christiane Baumeister

University of Notre Dame; National Bureau of Economic Research (NBER); Centre for Economic Policy Research (CEPR)

Lutz Kilian

University of Michigan at Ann Arbor - Department of Economics; Centre for Economic Policy Research (CEPR)

Date Written: December 2011

Abstract

Recently, there has been increased interest in real-time forecasts of the real price of crude oil. Standard oil price forecasts based on reduced-form regressions or based on oil futures prices do not allow consumers of forecasts to explore how much the forecast would change relative to the baseline forecast under alternative scenarios about future oil demand and oil supply conditions. Such scenario analysis is of central importance for end-users of oil price forecasts interested in evaluating the risks underlying these forecasts. We show how policy-relevant forecast scenarios can be constructed from recently proposed structural vector autoregressive models of the global oil market and how changes in the probability weights attached to these scenarios affect the upside and downside risks embodied in the baseline real-time oil price forecast. Such risk analysis helps forecast users understand what assumptions are driving the forecast. An application to real-time data for December 2010 illustrates the use of these tools in conjunction with reduced-form vector autoregressive forecasts of the real price of oil, the superior real-time forecast accuracy of which has recently been established.

Keywords: Forecast, Oil price, Predictive density, Real time, Risk, Scenario analysis, VAR

JEL Classification: C53, E32, Q43

Suggested Citation

Baumeister, Christiane and Kilian, Lutz, Real-Time Analysis of Oil Price Risks Using Forecast Scenarios (December 2011). CEPR Discussion Paper No. DP8698. Available at SSRN: https://ssrn.com/abstract=1976040

Christiane Baumeister (Contact Author)

University of Notre Dame ( email )

722 Flanner Hall
Notre Dame, IN 46556
United States
+1 574 631 8450 (Phone)

HOME PAGE: http://https://sites.google.com/site/cjsbaumeister/

National Bureau of Economic Research (NBER) ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Centre for Economic Policy Research (CEPR) ( email )

London
United Kingdom

Lutz Kilian

University of Michigan at Ann Arbor - Department of Economics ( email )

611 Tappan Street
Ann Arbor, MI 48109-1220
United States
734-764-2320 (Phone)
734-764-2769 (Fax)

Centre for Economic Policy Research (CEPR)

London
United Kingdom

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