Despite the obvious benefits and growing popularity of Machine Learning (ML) technology, there are still concerns regarding its ability to provide Financial Distress Prediction (FDP). An accurate FDP model is required to avoid financial risk at the lowest possible cost. However, in the Internet...

The multi-fractal analysis has been applied to investigate various stylized facts of the financial market including market efficiency, financial crisis, risk evaluation and crash prediction. This paper examines the daily return series of stock index of NASDAQ stock exchange. Also, in this study,...

This paper attempts to explore the comparative ability of different statistical and econometric volatility forecasting models in the context of Zimbabwe stock market. Two different models were considered in this study. The volatility of the ZSE industrial index returns have been modeled by using...

It is no news that the global economic crisis has led to shortage of financial resources and to a general downturn in stock prices across the globe. Forecasting stock prices will provide a way to anticipate and perhaps avoid the risk of a large adverse change in prices. This paper, therefore,...