STOCK PRICE PREDICTION: A COMPARATIVE STUDY USING LINEAR REGRESSION, RANDOM FOREST, AND LSTM MODELS
Title: STOCK PRICE PREDICTION: A COMPARATIVE STUDY USING LINEAR REGRESSION, RANDOM FOREST, AND LSTM MODELS Authors:Chibli Mayada, Ion Smeureanu and Mahmoud Haydar Abstract:This study proposes a comparative comparison of three distinct prediction models—Linear Regression, Random Forest, and Long Short-Term Memory (LSTM)—for projecting stock prices of 29 firms, including the S&P 500 index, from January 1, … Read more