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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 …
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
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 …
(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 …
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 …
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
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 …
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 …
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 …
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
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 …
for researchers. While the well-known efficient market hypothesis rules out any possibility of …
Stock-price forecasting based on XGBoost and LSTM.
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 …
because many factors can influence stock prices (eg, inflation, seasonality, economic policy …
Machine learning in finance-emerging trends and challenges
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 …
in such a way that it is no longer an area for esoteric academics and scientists putting their …