Stochastic differential equation models for the price of European CO2 emission allowances
Cai, Wugan and Pan, Jiafeng (2017) Stochastic differential equation models for the price of European CO2 emission allowances. Sustainability, 9 (2). ISSN 2071-1050 (https://doi.org/10.3390/su9020207)
Preview |
Text.
Filename: Cai_Pan_Sustainability2017_Stochastic_differential_equation_models_for_the_price_of_European_CO2_emission_allowances.pdf
Accepted Author Manuscript License: Download (1MB)| Preview |
Abstract
Understanding the stochastic nature of emissions allowances is crucial for risk management in emissions trading markets. In this study, we discuss the emissions allowances spot price within the European Union Emissions Trading Scheme: Powernext and European Climate Exchange. To compare the fitness of five stochastic differential equations (SDEs) to the European Union allowances spot price, we apply regression theory to obtain the point and interval estimations for the parameters of the SDEs. An empirical evaluation demonstrates that the mean reverting square root process (MRSRP) has the best fitness of five SDEs to forecast the spot price. To reduce the degree of smog, we develop a new trading scheme in which firms have to hand many more allowances to the government when they emit one unit of air pollution on heavy pollution days, versus one allowance on clean days. Thus, we set up the SDE MRSRP model with Markovian switching to analyse the evolution of the spot price in such a scheme. The analysis shows that the allowances spot price will not jump too much in the new scheme. The findings of this study could contribute to developing a new type of emissions trading.
ORCID iDs
Cai, Wugan and Pan, Jiafeng ORCID: https://orcid.org/0000-0001-5993-3209;-
-
Item type: Article ID code: 59618 Dates: DateEvent4 February 2017Published24 January 2017AcceptedSubjects: Social Sciences > Economic Theory
Geography. Anthropology. Recreation > Environmental Sciences
Science > MathematicsDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 27 Jan 2017 10:06 Last modified: 11 Nov 2024 11:36 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/59618