Using Indian bank-level data, we examine the cross-sectional returns predictability for banking stocks in view of the distinct industry parameters prevalent in the financial services space. We find the existence of abnormal returns in banking stocks. We also observe that the celebrated...

This paper develops ensemble machine learning models (XGBoost, Gradient Boosting, and AdaBoost in addition to Random Forest) for predicting stock returns of Indian banks using technical indicators. These indicators are based on three broad categories of technical analysis: Price, Volume, and...

The current research attempts to investigate the effects of changes in interest rates (IR) and exchange rates (FX) on bank stock returns (BSR) in the context of Kenya. Further, it will investigate the effects of actual interest and exchange rates on bank stock returns. In addition, this study...