This paper investigates a stock-bond portfolio s tail risks such as value-at-risk (VaR) and expected shortfall (ES) and the optimum asset allocation, and the way in which these measures have been a¤ected by the recent global financial crisis (GFC). The semiparametric method is used to estimate...

In recent years both equity and bond markets have been afflicted by high volatility. In order to build up a conservative portfolio several models may be used, such as minimum variance portfolio or equally weighted portfolio. In 2008/09 another way to deal with diversification came up, that is...

This paper examines the effects of liquidity on the stock and portfolio risk measure by Value at Risk (VaR). Using daily stock returns and firm market capitalization, empirical calculation of VaR that confirmed not yet succeeded to prove pattern of relations between risk and liquidity both...

We propose a method for optimal portfolio selection built on the Black and Litterman model and with two major contributions. We introduce in the investors' objective function a risk measure named expected tail loss, which is useful in portfolio selection context as it supports the benefi ts of...

The recent crisis made it evident that replicating the performance of a benchmark is not a sufficient goal to meet the expectations of usually risk-averse investors. The manager should also consider that the investor are seeking for a downside protection when the benchmark performs poorly and...

We study portfolio selection using Conditional Value-at-Risk and, as its natural extension, spectral risk measures instead of the variance. We do not focus only on the derivation of the efficient frontiers, but also consider the choice of optimal portfolios within an integrated framework. We...

Existence of underestimation bias on risk for optimized portfolio is well known to quantitative fund managers who construct their portfolio from optimizer (mathematical software) by using multi factor risk model. There are some reasons for underestimation of portfolio risk. One of the reasons of...

We propose a robust portfolio optimization approach based on Value-at-Risk (VaR) adjusted Sharpe ratios. Traditional Sharpe ratio estimates based on limited historical return data are subject to estimation errors. Portfolio optimization based on traditional Sharpe ratios ignores this uncertainty...