Based on a large dataset of gold ETFs, we find arbitrage opportunities in the gold ETF market which can be exploited by high-frequency traders. To our knowledge, this is the first paper to study pairs trading of gold ETFs using tick data. Able to execute their orders with minimal delay and take...

Motivated by the seasonality found in equity returns, we create a Turn-of-the-Month (ToM) allocation strategy in the U.S. equity market and investigate its value in asset allocation. By using a wide variety of portfolio construction techniques in an attempt to address the impact of estimation...

Previous research has identified that investors place more emphasis on technical analysis than fundamental analysis, however the research has largely been confined to daily data and stock market indices. This paper studies whether intraday technical trading rules produce significant payoffs in...

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...