Mean-variance optimisation has been roundly criticised by financial economists and practitioners alike, leading many to advocate a simple 1/N weighting heuristic. We investigate the performance of the Markowitz technique conditional on investor forecasting ability. Using a novel analytical...

Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated...

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC...

In finance theory, the standard deviation of asset returns is almost universally recognised as a measure of risk. This universality continues to exist even in the presence of the known limitations of using the standard deviation and also alternative risk measures. One possible reason for this...

Conventional one-period utility functions in economics assume that initial wealth only enters preferences through the definition of final wealth. As a consequence, those utility functions most utilised (i.e. exponential and quadratic) have implausible risk characteristics. The authors...

This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio management. Evaluation of volatility models is then considered...