Commodity Price Forecasts, Futures Prices, and Pricing Models

Author:

Cortazar Gonzalo1,Millard Cristobal1,Ortega Hector1,Schwartz Eduardo S.2ORCID

Affiliation:

1. Pontificia Universidad Católica de Chile, Santiago, Chile

2. Beedie School of Business, Simon Fraser University, Vancouver, British Columbia, Canada V6C 1W6; UCLA Anderson Graduate School of Management, University of California, Los Angeles, Los Angeles, California 90095; and National Bureau of Economic Research, Cambridge, Massachusetts 02138

Abstract

Even though commodity-pricing models have been successful in fitting the term structure of futures prices and its dynamics, they do not generate accurate true distributions of spot prices. This paper develops a new approach to calibrate these models using not only observations of oil futures prices, but also analysts’ forecasts of oil spot prices. We conclude that to obtain reasonable expected spot curves, analysts’ forecasts should be used, either alone or jointly with futures data. The use of both futures and forecasts, instead of using only forecasts, generates expected spot curves that do not differ considerably in the short/medium term, but long term estimations are significantly different. The inclusion of analysts’ forecasts in addition to futures, instead of only futures prices, does not alter significantly the short/medium part of the futures curve but does have a significant effect on long-term futures estimations. This paper was accepted by Gustavo Manso, finance.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

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