Forecasts of stock market volatility is an important input for market participants in measuring and managing investment risks. Thus, understanding the most appropriate methods to generate accurate is key. This paper examines the ability of Machine Learning methods, and specifically Artificial...

This paper studies the spot and futures cross-market efficiency implications of the regulatory short-selling constraints imposed during the 2008-2009 financial crisis. We find the equilibrium position for the basis during the ban is below that normally seen, with the spot price higher relative...

Based on the present value model for stock prices, we utilise a pooled mean group estimator for panel ARDL cointegration to estimate the long-run relationship between G7 stock prices and macroeconomic variables over the last 40 years. We find a positive long-run relation between stock prices,...

This paper examines the nature of the correlation between (real) equity and bond returns for the G7 markets. From the standpoint of established finance theory, we would expect a positive returns correlation, however, evidence has been presented to suggest that a negative correlation occurs over...