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Analysing the Impact of Environmental, Social and Governance (ESG) Data On Forecasting Business Value in the Oil and Gas Sector

Busscher, T.S.G. (2025) Analysing the Impact of Environmental, Social and Governance (ESG) Data On Forecasting Business Value in the Oil and Gas Sector.

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Abstract:Environmental, social and governance (ESG) ratings are integrated into investment decision-making processes, serving as key indicators to guide investors in evaluating and selecting companies for potential investment. While prior research has been conducted on how ESG ratings impact stock returns and profitability and how ESG ratings mitigate firm-specific crash risk, there is a lack of studies exploring how ESG impacts the business value of companies. Thus, this thesis aims to explore whether ESG related data, such as the specific pillars: environmental, social, governance, and controversies can improve the time series forecasts of business value in the oil and gas sector using forecasting models as Prophet, XGBoost, and LSTM. The results indicate that, in the majority of experiments, incorporating independent features from the individual ESG pillars into the Prophet model yields more accurate forecasts compared to the same time series model based solely on business value. Similar results are obtained for different models tested. These findings give academics and professionals a new methodological toolkit for improving business value forecasts by leveraging ESG pillar data. Ultimately, these findings enable more accurate valuation and more informed investment and risk-management decisions in the oil and gas sector.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Business & IT BSc (56066)
Link to this item:https://purl.utwente.nl/essays/107356
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