A Ridge-Regularized Deep Learning Stacking Ensemble for Multivariate Daily Exchange Rate Forecasting in Emerging Markets: Evidence from the Ghana Forex Market

Calendar anomalies in an emerging African market: evidence from the Ghana Stock Exchange

This paper investigates two calendar anomalies in an emerging African market. Both the day of the we

Machine Learning for Predicting Deposits Bank Market Shares in Emerging Markets: Evidence from Egypt

The study investigated machine learning for predicting deposit bank market shares in Egypt as emergi

Impact of Exchange Rate Threshold Level on Stock Market Performance-Evidence from Ghana

Exchange rate plays a vital role in an economy and the purpose of this study is to investigate the i

Evaluating the Performance of a Stacking-Based Ensemble Model for Daily Temperature Prediction

Temperature, as a critical element of weather forecasting, has consistently attracted extensive publ

TESTING WEAK-FORM MARKET EFFICIENCY IN EMERGING MARKET: EVIDENCE FROM BOTSWANA STOCK EXCHANGE

Market efficiency is an area of enormous interest in financial literature. Numerous researchers cond

Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market