In this study we utilise artificial neural networks to classify equity investment funds according to two fundamental risk measures - standard deviation and beta ratio - and to investigate the fund characteristics essential to this classification. Based on a sample of 4,645 monthly observations...

Targeting volatility has become very popular in the markets because it reduces the tail risk. However, during a market downturn, the target and realized volatility might differ significantly, leading to worse than expected portfolio performance. This paper examines the efficiency of a...