Deep Learning Models for Stock Price Prediction of Companies Associated with Indian Natural Gas Value Chain Underpinning Their ESG Commitments

Pratyush Prasad

2023

Abstract

Globally, stockholders are investing in companies strategizing to create a tangible, practical strategy for quantifying ESG value for investors, in tandem with decarbonization, to enhance sustainability and combat climate change. Natural Gas (NG), recognized as the preferred transitional fuel, accounts for 24.2% of the world’s primary energy(PE) consumption mix. India seeks to increase the proportion of NG in the country’s PE mix from 6% to 15% by 2030 to sustain decarbonized economic growth with NG transition. In this context, this article aims to forecast and compare the stock prices of eight Indian companies associated with the NG value chain, contributing to India’s transition to a gas-based economy. These companies with a robust ESG framework are associated with activities like NG exploration, Liquified NG import, transmission, distribution, and retailing. The researcher applied deep learning techniques like CNN, LSTM, the RNN model, and MLP to forecast stock prices and evaluate performance using historical data with seven attributes imported from yahoo-finance get data module. LSTM model prediction is the best with the lowest RMSE value. The research novelty lies in integrating ESG commitments into the prediction framework, acknowledging the growing importance of sustainability factors in the financial market while the end consumers enhance NG consumption for a gas-based economy transition.

Paper Citation

in Harvard Style

Prasad P. (2023). Deep Learning Models for Stock Price Prediction of Companies Associated with Indian Natural Gas Value Chain Underpinning Their ESG Commitments. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 454-460. DOI: 10.5220/0012517300003739

in Bibtex Style

@conference{ai4iot23,
author={Pratyush Prasad},
title={Deep Learning Models for Stock Price Prediction of Companies Associated with Indian Natural Gas Value Chain Underpinning Their ESG Commitments},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={454-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012517300003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Deep Learning Models for Stock Price Prediction of Companies Associated with Indian Natural Gas Value Chain Underpinning Their ESG Commitments
SN - 978-989-758-661-3
AU - Prasad P.
PY - 2023
SP - 454
EP - 460
DO - 10.5220/0012517300003739
PB - SciTePress