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Ghosh, I., & Jana, R. K. (2024). Clean Energy Stock Price Forecasting and Response to Macroeconomic Variables: A Novel Framework Using Facebook’s Prophet, NeuralProphet and Explainable AI. Technological Forecasting and Social Change, 200, Article ID: 123148.
https://www.semanticscholar.org/paper/Clean-energy-stock-price-forecasting-and-response-A-Ghosh-Jana/31656f3f11b8ee8ad407d95a2dcb6cc51d6947de

has been cited by the following article:

• TITLE: Comparing the Return and Volatility Performance of Renewable Energy Companies. Empirical Evidence from COVID-19 Pandemic and the 2015 Paris Agreement

  AUTHORS: Priya Barke

  KEYWORDS: COVID-19, Paris Agreement, Renewable Energy

  JOURNAL NAME: Journal of Financial Risk Management, Vol.14 No.4, October 28, 2025

  ABSTRACT: This paper investigates the impact of the COVID-19 Pandemic and the 2015 Paris Agreement on the returns and volatility of renewable energy companies. The COVID-19 Pandemic led to a marked decline in volatility for TSLA, while volatility increased for NEE, FSLR, and the NDAQ index. In contrast, the 2015 Paris Agreement was linked to a significant reduction in volatility across all examined companies as well as the NDAQ. These results indicate that global policy agreements, such as the 2015 Paris Agreement, may help stabilise renewable energy markets, whereas the COVID-19 pandemic has affected volatility in a company-specific manner, reflecting differences in characteristics among NDAQ, TSLA, FSLR, and NEE.