59 citations
5 papers
Stock Volatility Prediction using Time Series and Deep Learning Approach
Ananda Chatterjee, Hrisav Bhowmick, Jaydip Sen
Volatility clustering is a crucial property that has a substantial impact on stock market patterns. Nonetheless, developing robust models for accurately predicting future stock pri…
Stock Portfolio Optimization Using a Deep Learning LSTM Model
Jaydip Sen, Abhishek Dutta, Sidra Mehtab
Predicting future stock prices and their movement patterns is a complex problem. Hence, building a portfolio of capital assets using the predicted prices to achieve the optimizatio…
Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models
Ananda Chatterjee, Hrisav Bhowmick, Jaydip Sen
For a long-time, researchers have been developing a reliable and accurate predictive model for stock price prediction. According to the literature, if predictive models are correct…
Profitability Analysis in Stock Investment Using an LSTM-Based Deep Learning Model
Jaydip Sen, Abhishek Dutta, Sidra Mehtab
Designing robust systems for precise prediction of future prices of stocks has always been considered a very challenging research problem. Even more challenging is to build a syste…
Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Models
Jaydip Sen, Sidra Mehtab
Designing robust frameworks for precise prediction of future prices of stocks has always been considered a very challenging research problem. The advocates of the classical efficie…