Artificial intelligence (AI)-based models have emerged as powerful tools in financial markets,
capable of reducing investment risks and aiding in selecting highly profitable stocks by …

This research investigates the relationship between various risk management practices,
including diversification, hedging, and contingency planning, and their impact on the …

Making a successful sales prediction or forecasting in retail markets remains challenging
despite years of practice and efforts. In this study, we attempt to address this challenge by …

This paper examines the efficient market hypothesis (EMH) in five selected Tunisian sectoral
stock markets [namely: finance (FIN), Bank, automobile (AUTO), industry (IND), and material …

This dissertation examines the weak-form efficiency of the Chinese stock market and
provides evidence on how the market efficiency evolved throughout the last three decades …

This study challenges the prevailing belief in the necessity of complex models for accurate
forecasting by demonstrating the effectiveness of parsimonious econometric models, namely …

A teoria de finanças comportamentais tem-se mostrado relevante para compreender
decisões “não racionais” dos agentes no mercado financeiro, porém, em um aspecto …

Este trabalho apresenta uma nova abordagem para a tomada de decisões de compra e
venda de ações na Bolsa de Valores brasileira, com o objetivo de maximizar o lucro obtido …

In this study, we explore the effectiveness of using Random Forest and Support Vector
Machine (SVM) models in contrast to a traditional OLS regression model for predicting …