Pricing commodity futures and determining risk premia in a three factor model with stochastic volatility: the case of Brent crude oil

被引:0
作者
Jilong Chen
Christian Ewald
Ruolan Ouyang
Sjur Westgaard
Xiaoxia Xiao
机构
[1] Zhejiang Gongshang University,International Business School and School of Finance
[2] University of Glasgow,Adam Smith Business School
[3] Inland University of Applied Sciences,Economics, Gilbert Scott Building
[4] Jinan University,Department of Economics
[5] Norwegian University of Science and Technology,College of Economics and Institute of Finance
来源
Annals of Operations Research | 2022年 / 313卷
关键词
Commodity futures; Stochastic volatility; Multi-factor models; C32; G13; Q02;
D O I
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中图分类号
学科分类号
摘要
In this paper we introduce a three factor model to price commodity futures contracts. This model allows both the spot price volatility and convenience yield to be stochastic, nevertheless futures prices can be obtained conveniently in closed form. Further, we use Brent crude oil futures prices to calibrate the model using the extended Kalman filter. In comparison to the benchmark model for commodity futures pricing, the Schwartz two-factor model, our three factor model shows a superior fit for contracts that have longer maturities. We further assess risk premia in Brent crude oil through the two models and observe that the Schwartz two-factor model over-predicts risk premia in comparison to the new model.
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页码:29 / 46
页数:17
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  • [1] Baker SD(2021)The financialization of storable commodities Management Science 67 471-499
  • [2] Bakshi G(2019)Understanding the sources of risk underlying the cross section of commodity returns Management Science 65 619-641
  • [3] Gao X(2013)Capturing the risk premium of commodity futures: The role of hedging pressure Journal of Banking and Finance 37 2652-2664
  • [4] Rossi AG(1958)The supply of storage The American Economic Review 48 50-72
  • [5] Basu D(2013)Commodity futures prices: More evidence on forecast power, risk premia and the theory of storage The Quarterly Review of Economics and Finance 53 73-85
  • [6] Miffre J(2005)Stochastic convenience yield implied from commodity futures and interest rates The Journal of Finance 60 2283-2331
  • [7] Brennan MJ(2006)Modelling the implied volatility surface: Does market efficiency matter?: An application to MIB30 index options International Review of Financial Analysis 15 145-178
  • [8] Brooks C(2016)The Return-volatility relation in commodity futures markets Journal of Futures Markets 36 127-152
  • [9] Prokopczuk M(2020)Expected prices, futures prices and time-varying risk premiums: The case of copper Resources Policy 69 101825-137
  • [10] Yingying W(1997)Implementing a real option model for valuing an undeveloped oil field International Transactions in Operational Research 4 125-238