Recurrent “black swans” financial events are a major concern for both investors and regulators because of the extreme price changes they cause, despite their very low probability of occurrence. In this paper, we use unconditional and conditional methods, such as the recently proposed high...

Value-at-Risk (VaR) is used to analyze the market downside risk associated with investments in six key individual assets including four precious metals, oil and the S&P 500 index, and three diversified portfolios. Using combinations of these assets, three optimal portfolios and their efficient...

This study examines the Value-at-Risk for ten euro-zone equity markets individually and also divided into two groups: PIIGS (Portugal, Italy, Ireland, Greece and Spain) and the Core (Austria, Finland, France, Germany and the Netherlands), employing four VaR estimation and evaluation methods...

In this paper we provide further evidence on the suitability of the median of the point VaR forecasts of a set of models as a GFC-robust strategy by using an additional set of new extreme value forecasting models and by extending the sample period for comparison. The median is not affected by...

In McAleer et al. (2010b), a robust risk management strategy to the Global Financial Crisis (GFC) was proposed under the Basel II Accord by selecting a Value-at-Risk (VaR) forecast that combines the forecasts of different VaR models. The robust forecast was based on the median of the point VaR...

Analysis of the economics of energy management measures for A/C systems in Kuwait shows that, as the daily utilization increases, larger additional investment may be made and the system cost would still break even. It is shown that, for the same percentage of energy savings, larger additional...

This study examines the volatility transmissions across the Gulf Arab states (GCC) stock markets and the linkages between these markets and the United States stock and oil markets, using the Multi-chain Markov Switching model. This approach enables the distinction between different transmission...

This paper uses the multi-chain Markov Switching model to examine the nature of the volatility transmission across currency, commodity and stock markets, and provide implications for hedging and asset allocation. Results generally indicate the dominant presence of interdependency, as opposed to...