The main aim of this article is to examine the factors that influence the acceptance of ridesharing technologies in Polish society, including dynamic vanpooling on demand. The study was conducted using the UTAUT 2 model (Theory of Acceptance and Use of Technology). We have employed statistical...

Statistical learning models have profoundly changed the rules of trading on the stock exchange. Quantitative analysts try to utilise them predict potential profits and risks in a better manner. However, the available studies are mostly focused on testing the increasingly complex machine learning...

This study contrasts GARCH models with diverse combined forecast techniques for Commodities Value at Risk (VaR) modeling, aiming to enhance accuracy and provide novel insights. Employing daily returns data from 2000 to 2020 for gold, silver, oil, gas, and copper, various combination methods are...