Stock price prediction using artificial intelligence based on LSTM–deep learning model

H HaBib, GS Kashyap, N Tabassum… - Artificial Intelligence & …, 2023 - taylorfrancis.com
Prediction of stock prices has been an important area of research for a long time and has
always been a challenging task for the researcher. Investment firms and even individuals …

[HTML][HTML] COVID-19 pandemic and indices volatility: Evidence from GARCH Models

R Mamilla, C Kathiravan, A Salamzadeh… - Journal of Risk and …, 2023 - mdpi.com
This study examines the impact of volatility on the returns of nine National Stock Exchange
(NSE) indices before, during, and after the COVID-19 pandemic. The study employed …

Stock price prediction using CNN and LSTM-based deep learning models

S Mehtab, J Sen - … Conference on Decision Aid Sciences and …, 2020 - ieeexplore.ieee.org
Designing robust and accurate predictive models for stock price prediction has been an
active area of research over a long time. While on one side, the supporters of the efficient …

A time series analysis-based stock price prediction using machine learning and deep learning models

S Mehtab, J Sen - International Journal of Business …, 2020 - inderscienceonline.com
Prediction of future movement of stock prices has always been a challenging task for
researchers. While the advocates of the efficient market hypothesis (EMH) believe that it is …

Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression

M Beniwal, A Singh, N Kumar - Applied Soft Computing, 2023 - Elsevier
Predicting long-term stock index prices is a challenging and debatable task. Most of the
studies focus on predicting next-day stock prices. However, those are not useful to long-term …

Analysis and forecasting of financial time series using CNN and LSTM-based deep learning models

S Mehtab, J Sen - Advances in Distributed Computing and Machine …, 2022 - Springer
Designing predictive models for forecasting future stock price has always been a very
popular area of research. On the one hand, the proponents of the famous efficient market …

Association mining based deep learning approach for financial time-series forecasting

T Srivastava, I Mullick, J Bedi - Applied soft computing, 2024 - Elsevier
Stock market plays a vital role in a country's economy, serving as a platform for companies to
raise capital and enabling investors to share in their growth and success. The market is very …

Robust analysis of stock price time series using CNN and LSTM-based deep learning models

S Mehtab, J Sen, S Dasgupta - 2020 4th International …, 2020 - ieeexplore.ieee.org
Prediction of stock price and stock price movement patterns has always been a crucial task
for researchers. While the well-known efficient market hypothesis rules out any possibility of …

Stock-price forecasting based on XGBoost and LSTM.

PH Vuong, TT Dat, TK Mai… - … Systems Science & …, 2022 - search.ebscohost.com
Using time-series data analysis for stock-price forecasting (SPF) is complex and challenging
because many factors can influence stock prices (eg, inflation, seasonality, economic policy …

Machine learning in finance-emerging trends and challenges

J Sen, R Sen, A Dutta - arxiv preprint arxiv:2110.11999, 2021 - arxiv.org
The paradigm of machine learning and artificial intelligence has pervaded our everyday life
in such a way that it is no longer an area for esoteric academics and scientists putting their …