Due to market volatility and complex regulations, forecasting stock price movements within the European banking sector is highly challenging. This study compares the predictive performance of Bidirectional Long Short-Term Memory (BiLSTM) and Long Short- Term Memory (LSTM) with traditional models...

The results reveal significant evidence of herding in the overall, bearish, and extended crisis market phases during extreme downturns, while the magnitude of market returns in the tail distribution is considered. Asymmetric herding behavior is more pronounced and prevalent, conditioned by...

This study provides an updated analysis of the impact of COVID-19 daily contaminations and vaccinations on the financial markets by incorporating the third wave observed in 2021. Our methodology is based on a comparative approach using a multivariate heteroscedasticity model and data from the...

This study applies Gradient Boosting Machines (GBMs) and principal component regression (PCR) to forecast the closing price of the Johannesburg Stock Exchange (JSE) All-Share Index (ALSI), using daily data from 2009 to 2024, sourced from the Wall Street Journal. The models are evaluated under...

To control for the endogeneity problem, this study applies the two-stage least squares technique to examine the impact of bank and stock market development on economic growth in the thirteen Central and Eastern European (CEE) countries in the European Union (EU) during 2001-2020. The first...

The article analyzes the literature and provides an assessment of the development of the stock market in the Russian Federation between 2016-2020. Today, the process of improving electronic technologies for carrying out operations in the stock market is also a continuing segment of the financial...