Study on AI-Assisted Statistical Approach for Improving Stock Price Prediction Accuracy

• Main Authors: Gaurav, Tuteja, Varsha, Agarwal, Meeramani, N, Sumitra, Menaria
• Format: Article
• Language: English; English
• Published: INTI International University 2024
• Subjects: HJ Public Finance; QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://eprints.intimal.edu.my/2023/1/jods2024_42.pdf; http://eprints.intimal.edu.my/2023/2/564; http://eprints.intimal.edu.my/2023/; http://ipublishing.intimal.edu.my/jods.html

Stock price (SP) prediction is crucial for financial decision-making, yet achieving excessive accuracy remains challenging due to market volatility. Current models frequently struggle with capturing the complexities of SP fluctuations, leading to significant prediction errors. This study aims to...