The stock market is characterized by extreme fluctuations, non-linearity, and shifts in internal and external environmental variables. Artificial intelligence (AI) techniques can detect such non-linearity, resulting in much-improved forecast results. This paper reviews 148 studies utilizing...

Purpose – Internationalization of capital markets gives opportunities to investors to invest their money in the country of their choice, not just in their own country. The relationships between international stock markets have become increasingly important in recent times. The purpose of this...

The study builds on the literature already available on financial data of the companies in India. The study tests out the usefulness of the technical analysis in predicting the future market trends. The study takes 15 companies as recommended by the analysts in the smart investor of the business...

The paper analyzes long term relationship between BSE and macroeconomic variables, vis-à-vis, change in exchange rate, foreign exchange reserve, inflation rate and gold price. The multiple regression equation model (Galton, 1877) in order to investigate the relationship among these factors. The...

The paper analyzed the impact of opening call auction on the efficiency of price discovery at the National Stock Exchange (NSE), India by studying the returns and volatility behavior of one benchmark index (NSE's Nifty) and 10 Nifty component companies selected on random. The paper used the...