An option pricing model based on a renewable energy price index

Jian Xue, Jing Ding, Laijun Zhao, Di Zhu and Lei Li

Energy, 2022, vol. 239, issue PB

Abstract: As a result of rapid socioeconomic development, the world is facing the simultaneous challenges of environmental pollution and resource depletion. How to promote the development of renewable, non-polluting energy is therefore essential. This could be achieved by supporting the rapid growth of a renewable energy financial market that includes various derivatives. To support such an effort, we designed an option contract model based on a renewable energy price index using data from the current development status of energy financial markets. To construct a renewable energy price index, we chose the daily electricity price value from the Nord Pool exchange system from January 2017 to August 2019. Next, we used an auto-regressive integrated moving average (ARIMA) model to predict this price index and estimate the model's parameters. We then used the true value and the predicted value for Nord Pool to perform Monte Carlo simulation pricing for electricity price index options in September 2019, and calculated the relative error. We found that the option contract's design for the renewable energy price index was designed reasonably. The ARIMA model predicted the renewable electricity price index accurately, and the Monte Carlo simulation pricing was reasonable and practical. The option contract for renewable energy price index can effectively explore the energy financial markets varieties and promote the global development of renewable energy sources.

Keywords: Renewable energy; Price index; ARIMA model; Option pricing model; Renewable energy price index option contract; Monte Carlo pricing method (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221023653
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:239:y:2022:i:pb:s0360544221023653

DOI: 10.1016/j.energy.2021.122117

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().