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A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing
5 references·3 citing·35 second hop
A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing (2021)A Robust Predictive Model for Stock Price…Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait (2010)Forecasting stock exchange mo…Book-to-market, firm size, and the turn-of-the-year effect: Evidence from Pacific-Basin emerging markets (1998)Book-to-market, firm size, an…Size and Book-to-Market Factors in Earnings and Returns (1995)Size and Book-to-Market Facto…Earnings Yields, Market Values, and Stock Returns (1989)Earnings Yields, Market Value…Predicting stock market using natural language processing (2023)Predicting stock market using…Long‐and‐Short‐Term Memory (LSTM) NetworksArchitectures and Applications in Stock Price Prediction (2022)Long‐and‐Short‐Term Memory (L…Analysis and forecasting of Time-Series data using S-ARIMA, CNN and LSTM (2021)Analysis and forecasting of T…CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)Asset Pricing and the Illiquidity Premium (2005)Liquidity and asset pricing: Evidence from the Hong Kong stock market (2011)Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models (2021)Risk, Return, and Equilibrium: Empirical Tests (1973)INVESTMENT PERFORMANCE OF COMMON STOCKS IN RELATION TO THEIR PRICE‐EARNINGS RATIOS: A TEST OF THE EFFICIENT MARKET HYPOTHESIS (1977)The relationship between return and market value of common stocks (1981)Rational Capital Budgeting in an Irrational World (1996)Earnings-based and accrual-based market anomalies: one effect or two? (2000)Why Is Long‐Horizon Equity Less Risky? A Duration‐Based Explanation of the Value Premium (2007)Stock market prediction system with modular neural networks (1990)The Risk and Predictability of International Equity Returns (1993)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)A novel model by evolving partially connected neural network for stock price trend forecasting (2011)A time series analysis-based stock price prediction using machine learning and deep learning models (2020)Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Time Series (2021)An Intertemporal Capital Asset Pricing Model (1973)Multifactor Explanations of Asset Pricing Anomalies (1996)Industry costs of equity (1997)A five-factor asset pricing model (2014)Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks (2017)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles (2018)Robust performance hypothesis testing with the Sharpe ratio (2008)Twitter mood predicts the stock market (2011)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A Prediction Approach for Stock Market Volatility Based on Time Series Data (2019)Stock Price Prediction Using News Sentiment Analysis (2019)Optimizing LSTM for time series prediction in Indian stock market (2020)XBRL Agent: Leveraging Large Language Models for Financial Report Analysis (2024)A systematic review of fundamental and technical analysis of stock market predictions (2019)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)
this work references cited by second hop

References

  • 1995Size and Book-to-Market Factors in Earnings and Returns3,456 cited
  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 1989Earnings Yields, Market Values, and Stock Returns497 cited
  • 1998Book-to-market, firm size, and the turn-of-the-year effect: Evidence from Pacific-Basin emerging markets219 cited
  • 2010Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait148 cited

Cited by

  • 2023Predicting stock market using natural language processing32 cited
  • 2021Analysis and forecasting of Time-Series data using S-ARIMA, CNN and LSTM31 cited
  • 2022Long‐and‐Short‐Term Memory (LSTM) NetworksArchitectures and Applications in Stock Price Prediction31 cited

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