Modeling the Variation between Green Energy Stock Prices and Oil Prices Using Fourier Analysis

Abstract

Green energy production is crucial to protecting the environment and meeting future energy demand. Therefore, the study aims to investigate the relationship between oil price indices and green energy stock prices. In this study, the data of Nasdaq OMX Wind and Nasdaq OMX Solar indices and crude oil index (Oil) for the period of January 2015-March 2023 are collected and investigated using Fourier analysis method. Therefore, in this study, the correlation between Oil and other (Solar and Wind) data values is examined. Fourier power spectrum analysis method is used and according to the results of this power spectrum analysis; The fact that there is a correlation between the Oil data values and both the Solar and Wind data values is demonstrated by the average, maximum and standard deviation values obtained as a result of the Fourier power spectrum and power spectrum. In conclusion, the findings of this study also provide important recommendations for investors, managers and policy makers.