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Leveraging Data Analytics for Sustainable Investment Decisions: Evaluating NVIDIA and Microsoft
Abstract
Leveraging data-driven decision-making in sustainable management systems is crucial for refining stock market investment strategies. This research examines the use of data analytics to assess NVIDIA and Microsoft, focusing on their historical performance. We employ the Discounted Cash Flow (DCF) model for intrinsic valuation centered on projected cash inflows and the Relative Valuation model to compare each stock to its industry peers. Additionally, scenario-based analysis is used to evaluate various market conditions and potential future developments. Our findings indicate that integrating these analytical models with scenario analysis enhances the precision of stock valuations and supports more informed investment decisions. This methodology demonstrates how financial analysts and investors can utilize advanced tools to navigate market complexities. The study concludes by determining which stock, between NVIDIA and Microsoft, appears more promising and establishes a framework for future research in financial decision-making and sustainable investment practices.
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