The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies

According to a statement made in the BP Energy Outlook report in 2017, most of the world’s liquid fuel (petroleum) is being consumed by the transportation industry. The mechanisms used to stimulate changes in the energy markets are affected by government policies that act in more ambitious ways than...

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Published in:Risks
Main Authors: Manuel Monge, Luis A. Gil-Alana
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Subjects:
Online Access:https://www.mdpi.com/2227-9091/8/4/130
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author Manuel Monge
Luis A. Gil-Alana
author_facet Manuel Monge
Luis A. Gil-Alana
author_sort Manuel Monge
collection DOAJ
container_title Risks
description According to a statement made in the BP Energy Outlook report in 2017, most of the world’s liquid fuel (petroleum) is being consumed by the transportation industry. The mechanisms used to stimulate changes in the energy markets are affected by government policies that act in more ambitious ways than purely market-driven forces; different governments have promoted incentives involving electric mobility, especially in urban areas. The substitution for crude oil by renewable energy inputs in the transport sector is a major concern for oil producers. Among the different types of clean energies, lithium (Li) is currently assuming an increasingly strategic role. The goals of this paper are two-fold: First, we study the dynamics of the lithium industry and then the beta risk behavior of the 10 largest oil companies in the world for the time period between 11 February 2008 and 10 January 2019. We use an approach based on the continuous wavelet transform (CWT) method. The results indicate that there is a period of dependence between late 2013 and 2016 that occurs in the long-run frequencies of between 32 and 198 days for all cases, except for in the case of PetroChina, thereby demonstrating that the beta term is time-varying. We also find evidence that the beta term reflects and advances oil companies’ responsiveness to movements in the lithium market. In the second part of the paper, we study the dynamics of the beta series by using long-run dependence approaches. The results indicate that the betas are highly persistent, with the order of integration found to be significantly above 1 in all cases.
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spelling doaj-art-ad736cad2f3544c19d6718f7451d9d2d2025-08-19T22:31:30ZengMDPI AGRisks2227-90912020-12-018413010.3390/risks8040130The Lithium Industry and Analysis of the Beta Term Structure of Oil CompaniesManuel Monge0Luis A. Gil-Alana1Faculty of Law, Business and Government, Universidad Francisco de Vitoria, E-28223 Madrid, SpainFaculty of Law, Business and Government, Universidad Francisco de Vitoria, E-28223 Madrid, SpainAccording to a statement made in the BP Energy Outlook report in 2017, most of the world’s liquid fuel (petroleum) is being consumed by the transportation industry. The mechanisms used to stimulate changes in the energy markets are affected by government policies that act in more ambitious ways than purely market-driven forces; different governments have promoted incentives involving electric mobility, especially in urban areas. The substitution for crude oil by renewable energy inputs in the transport sector is a major concern for oil producers. Among the different types of clean energies, lithium (Li) is currently assuming an increasingly strategic role. The goals of this paper are two-fold: First, we study the dynamics of the lithium industry and then the beta risk behavior of the 10 largest oil companies in the world for the time period between 11 February 2008 and 10 January 2019. We use an approach based on the continuous wavelet transform (CWT) method. The results indicate that there is a period of dependence between late 2013 and 2016 that occurs in the long-run frequencies of between 32 and 198 days for all cases, except for in the case of PetroChina, thereby demonstrating that the beta term is time-varying. We also find evidence that the beta term reflects and advances oil companies’ responsiveness to movements in the lithium market. In the second part of the paper, we study the dynamics of the beta series by using long-run dependence approaches. The results indicate that the betas are highly persistent, with the order of integration found to be significantly above 1 in all cases.https://www.mdpi.com/2227-9091/8/4/130lithium industrybetasdependencewaveletsfractional integration
spellingShingle Manuel Monge
Luis A. Gil-Alana
The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies
lithium industry
betas
dependence
wavelets
fractional integration
title The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies
title_full The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies
title_fullStr The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies
title_full_unstemmed The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies
title_short The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies
title_sort lithium industry and analysis of the beta term structure of oil companies
topic lithium industry
betas
dependence
wavelets
fractional integration
url https://www.mdpi.com/2227-9091/8/4/130
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