ASSESSING THE IMPACT OF MICROECONOMIC FACTORS ON INDIAN STOCK PRICES: AN LSTM-BASED DEEP LEARNING APPROACH TO PRICE PREDICTION
DOI:
https://doi.org/10.29121/shodhkosh.v5.i6.2024.4609Keywords:
Stock Price Prediction, LSTM, Composite Index, Microeconomic Factors, Indian Stock MarketAbstract [English]
This study investigates the influence of microeconomic factors on Indian stock prices and employs deep learning techniques to predict future stock price movements. A composite index variable is constructed, capturing the impact of key indicators such as GDP growth, inflation rates, interest rates, and unemployment rates. Through data normalization and weighting, this index is integrated into a predictive model that leverages historical stock price data. Results suggest that microeconomic factors play a significant role in stock price fluctuations, and the model demonstrates strong predictive accuracy, offering valuable insights for investors and policymakers alike.
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Copyright (c) 2024 Hemantkumar Wani, Dr. Sujithkumar S H
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