activity
20202022
most citedRobust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models

70 citations · 172 across the 9 of their papers we have counts for

collaborators

12 papers

q-fin.PM202221 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.PM202219 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.PM202216 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…

cs.LG20211 cited

Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model

Jaydip Sen, Saikat Mondal, Sidra Mehtab

Predictive model design for accurately predicting future stock prices has always been considered an interesting and challenging research problem. The task becomes complex due to th…

q-fin.PM20212 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…

q-fin.ST202117 cited

Design and Analysis of Robust Deep Learning Models for Stock Price Prediction

Jaydip Sen, Sidra Mehtab

Building predictive models for robust and accurate prediction of stock prices and stock price movement is a challenging research problem to solve. The well-known efficient market h…