A Study on Stock Price Forecasting of Semiconductor Industry in Technology Sector Based on ARIMA Modeling: NVIDIA Corporation (NVDA) as an Example

Zhibin Zhao

2025

Abstract

Given how quickly the world economy is growing and how the semiconductor industry is at the forefront of science and technology, changes in its stock price have a big impact on businesses and investors. In order to assist investors in better understanding market dynamics, this article forecasts the semiconductor industry's stock price using the Autoregressive Integrated Moving Average (ARIMA) model. A semiconductor company's daily closing price data from 2022 to 2025 is chosen for the study, and the ARIMA model is used for modeling and forecasting. The model's performance is assessed using the mean square error and the average absolute error. The findings demonstrate that the ARIMA model fits and forecasts semiconductor stock values more accurately, making it a useful tool for investors. In addition to adding to the body of empirical research on stock price prediction, this study offers theoretical justification for investing choices in related domains.

Paper Citation

in Harvard Style

Zhao Z. (2025). A Study on Stock Price Forecasting of Semiconductor Industry in Technology Sector Based on ARIMA Modeling: NVIDIA Corporation (NVDA) as an Example. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 235-241. DOI: 10.5220/0013685600004670

in Bibtex Style

@conference{icdse25,
author={Zhibin Zhao},
title={A Study on Stock Price Forecasting of Semiconductor Industry in Technology Sector Based on ARIMA Modeling: NVIDIA Corporation (NVDA) as an Example},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={235-241},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013685600004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - A Study on Stock Price Forecasting of Semiconductor Industry in Technology Sector Based on ARIMA Modeling: NVIDIA Corporation (NVDA) as an Example
SN - 978-989-758-765-8
AU - Zhao Z.
PY - 2025
SP - 235
EP - 241
DO - 10.5220/0013685600004670
PB - SciTePress