A bibliometric literature review of stock price forecasting: from statistical model to deep learning approach
PH Vuong, LH Phu, TH Van Nguyen… - Science …, 2024 - journals.sagepub.com
We introduce a comprehensive analysis of several approaches used in stock price
forecasting, including statistical, machine learning, and deep learning models. The …
forecasting, including statistical, machine learning, and deep learning models. The …
Impact of service agents on customer satisfaction and loyalty: mediating role of Chatbots
MHA Naqvi, Z Hongyu, MH Naqvi… - Journal of Modelling in …, 2023 - emerald.com
Impact of service agents on customer satisfaction and loyalty: mediating role of Chatbots |
Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with …
Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with …
Green bonds in climate finance and forecasting of corporate green bond index value with artificial intelligence
DT Çetin - Journal of Research in Business, 2022 - dergipark.org.tr
The effects of global climate change and increasing environmental awareness have led to
an increase in the significance of climate projects and, accordingly, climate finance and …
an increase in the significance of climate projects and, accordingly, climate finance and …
[PDF][PDF] Intellectual capital: Its effect on financial performance of Indian private sector banks
This empirical study proposes to evaluate and estimate the Modified Value Added
Intellectual Coefficient (MVAIC), in order to measure the financial performance of 21 Indian …
Intellectual Coefficient (MVAIC), in order to measure the financial performance of 21 Indian …
Design and development of a forecasting tool for the identification of new target markets by open time-series data and deep learning methods
Globalization and rapid advancements in the IT sector brought new challenges and
intensified competition between companies, strongly highlighting the demand for Business …
intensified competition between companies, strongly highlighting the demand for Business …
Digital business transformation in the banking sector
Financial technology companies (fintechs) have gained tremendous importance in the last
decade and particularly in the last four years. They have contributed with disruptive …
decade and particularly in the last four years. They have contributed with disruptive …
[PDF][PDF] Effect of weather on cryptocurrency index: Evidences from coinbase index
This study proposes to investigate the dynamic relationships between the three weather
factors (temperature, humidity, and wind speed) in New York City of USA and Coinbase …
factors (temperature, humidity, and wind speed) in New York City of USA and Coinbase …
[PDF][PDF] Application of Ensemble Machine Learning in the Predictive Data Analytics of Indian Stock Market.
The world of today is high frequency data driven and characterized by the application and
use of information technology for better business development and decision making. The …
use of information technology for better business development and decision making. The …
Comprehensive Analysis of Neural Network with GARCH for Predicting the TAIEX Futures
KH Shih, WR Lin, BC Lan… - Journal of Accounting …, 2023 - search.proquest.com
From the viewpoint of investors, the higher the accuracy is for share price predictions, the
lower their investment risks and hence the greater the returns will be. For companies, share …
lower their investment risks and hence the greater the returns will be. For companies, share …
Deep learning with small and big data of symmetric volatility information for predicting daily accuracy improvement of JKII prices
MA Ledhem - Journal of Capital Markets Studies, 2022 - emerald.com
Deep learning with small and big data of symmetric volatility information for predicting daily
accuracy improvement of JKII prices | Emerald Insight Books and journals Case studies …
accuracy improvement of JKII prices | Emerald Insight Books and journals Case studies …