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20192022
most citedStock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models

177 citations · 789 across the 17 of their papers we have counts for

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5 papers · 1 filter

q-fin.PM2022★ 21 cited

Precise Stock Price Prediction for Optimized Portfolio Design Using an LSTM Model

Jaydip Sen, Sidra Mehtab, Abhishek Dutta +1

Accurate prediction of future prices of stocks is a difficult task to perform. Even more challenging is to design an optimized portfolio of stocks with the identification of proper…

q-fin.PM2022★ 19 cited

Hierarchical Risk Parity and Minimum Variance Portfolio Design on NIFTY 50 Stocks

Jaydip Sen, Sidra Mehtab, Abhishek Dutta +1

Portfolio design and optimization have been always an area of research that has attracted a lot of attention from researchers from the finance domain. Designing an optimum portfoli…

q-fin.PM2022★ 16 cited

Portfolio Optimization on NIFTY Thematic Sector Stocks Using an LSTM Model

Jaydip Sen, Saikat Mondal, Sidra Mehtab

Portfolio optimization has been a broad and intense area of interest for quantitative and statistical finance researchers and financial analysts. It is a challenging task to design…

q-fin.PM2021★ 43 cited

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…

q-fin.PM2021★ 2 cited

Optimum Risk Portfolio and Eigen Portfolio: A Comparative Analysis Using Selected Stocks from the Indian Stock Market

Jaydip Sen, Sidra Mehtab

Designing an optimum portfolio that allocates weights to its constituent stocks in a way that achieves the best trade-off between the return and the risk is a challenging research…