In this study we consider the suitability of two methods of returns based style analysis for classification of investment styles for a single asset class, US Diversified Equity Funds. We extend Sharpe (1992) style Returns Based Style Analysis (RBSA) to form style groups using cluster analysis...

Our study is the first to combine returns based and characteristics based style analysis into a single style analysis model. We use Best Fit Indices to establish the ‘investment domains' of our sample managers, along the lines of size and ‘style,' and then use our multidimensional...

In this study we consider two methods of returns based style analysis for classification of investment styles for a single asset class, US Diversified Equity Funds. We extend Sharpe's (1992) style Returns Based Style Analysis (RBSA) by forming style groups using cluster analysis and RBSA...

Given the increased attention of precious metals by investors and the finance literature as well as the growth of high frequency trading, the behaviour of intraday precious metal markets is of great interest and importance. Therefore, this paper examines the stylized facts, correlation and...

This study examines the adaptive market hypothesis of the S&P500, FTSE100, NIKKEI225 and EURO STOXX 50 by testing for stock return predictability using daily data from January 1990 to May 2014. We apply three bootstrapped versions of the variance ratio test to the raw stock returns and also...

The yield curve is the centrepiece in bond markets, a massive asset class with an overall size of USD100 trillion that remains relatively under-investigated using machine learning. This paper is the first comprehensive study using artificial neural networks in the context of yield curve...