Since stock markets are volatile, dynamic and complicated, forecasting stock market return is considered as a challenging task. Nevertheless, researchers have developed various linear and non linear methods for effective forecasting. Among these neural networks are most suitable for forecasting...

The paper aims to study the market efficiency, unbiasedness among Guar gum futures contracts traded at National Commodity & Derivatives Exchange Ltd (NCDEX). The study has tested the market efficiency and unbiasedness with different maturities using cointegration analysis, and short-term market...

The paper aims to study the market efficiency, unbiasedness among Guar gum futures contracts traded at National Commodity & Derivatives Exchange Ltd (NCDEX). The study has tested the market efficiency and unbiasedness with different maturities using cointegration analysis, and short-term market...

The present study investigates the linear and nonlinear causality between spot and future returns of four notional indices maintained by Multi Commodity Exchange of India (MCX). The data covers two periods June 2005 – June 2008 and July 2008 - November 2011. Apart from the conventional linear...

There is a general perception that corporate performance in emerging markets is inclined towards few key powerful stakeholder groups ignoring issues of corporate governance. Big players like insurance companies, financial institutions, and corporate bodies etc. which have substantial shares in...