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...

This paper examines the relationship between consumption growth and the stock market for the G7 markets primarily using panel estimation techniques. We consider whether consumption growth is affected by stock returns and the dividend yield. The use of returns determines the existence of a wealth...

This paper argues that dividend yield stock return predictability is time-varying. We conjecture that such time-variation is linked to the business cycle. Employing monthly data for US sector portfolios we estimate 5-year rolling fixed window predictive regressions. The resulting series of...