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

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