Stock Data Analysis of Competing Companies in Competitive Market: The Case of NVIDIA Corporation

Letian Qi

doi:10.54097/vnv0ec57

Authors

Letian Qi

DOI:

https://doi.org/10.54097/vnv0ec57

Keywords:

Pearson correlation coefficient; Granger causality; Multivariate adaptive regression splines.

Abstract

On May 24, 2023, NVIDIA released its impressive first-quarter results, and the stock soared 30% that day, making NVDA the sixth largest company in the world. NVDA has been a heavy player in almost most of the global technology fronts of recent years (cloud computing, cryptocurrency, metaverse, artificial intelligence, etc.). NVDA dominates the AI training space with over 95% market share. Thus, it is extremely important to keep an eye on the NVDA stock market trend because it is not only crucial for the stock market but also a key aspect of how human science and technology will progress in the future. This article mainly analyzes the correlation between the stock market data of NVDA and its competitors (from NVDA's data center, graphics cards, professional visualization, games, and other business aspects) to achieve the purpose of monitoring and predicting the future trend of NVDA's stock market. It is hoped that provide valuable insights for investors and market analysts, enabling them to make informed decisions and predict the trajectory of NVDA's stock market performance.

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