Breaks in term structures: Evidence from the oil futures markets

Author:

Horváth Lajos1,Liu Zhenya2,Miller Curtis1,Tang Weiqing3ORCID

Affiliation:

1. Department of Mathematics University of Utah Salt Lake City Utah USA

2. China Financial Policy Research Center School of Finance, Renmin University of China Beijing People's Republic of China

3. Quantitative Risk Management, CME Group London UK

Abstract

AbstractWe propose a new functional change point detection procedure, motivated by recent models for commodity futures term structure. We investigate our procedure's properties under the null hypothesis of no change and the alternative. Monte Carlo simulations reveal a reasonable power property in finite sample sizes although size distortion persists. An empirical analysis of oil futures markets identifies two change points near the 2008 financial crisis and 2020 crude oil negative territory. Regression models show that the price behaviour, in general, is exposed to the spot market index and exchange rate from 2007 to 2009. The main drivers of the price term structure are attributed to the trading activities of speculators and financial index innovations between 2017 and 2022.

Publisher

Wiley

Subject

Economics and Econometrics,Finance,Accounting

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