Purpose: This study aims to examine the theoretical foundations for multivariate portfolio optimization algorithms under illiquid market conditions. In this study, special emphasis is devoted to the application of a risk-engine, which is based on the contemporary concept of liquidity-adjusted...

Purpose: This paper aims to examine from commodity portfolio managers’ perspective the performance of liquidity adjusted risk modeling in assessing the market risk parameters of a large commodity portfolio and in obtaining efficient and coherent portfolios under different market...

The aim of this study is to explore whether the Gulf Cooperation Council (GCC) equity markets are informationally efficient with regard to oil and gold price shocks during the period 2006-2008 using daily dollar-based stock market indexes dataset. This paper extends research literature related...

This paper develops scenario optimization algorithms for the assessment of investable financial portfolios under crisis market outlooks. To this end, this research study examines from portfolio managers' standpoint the performance of optimum and investable portfolios subject to applying...

This paper fills a fundamental gap in commodity price risk management and optimal portfolio selection literatures by contributing a thorough reflection on trading risk modeling with a dynamic asset allocation process and under the supposition of illiquid and adverse market settings. This paper...

Purpose – Since, the early 1990s, emerging markets have started to play an important role in the trading of derivatives products. Despite the fact that these markets are characterized in general as illiquid, segmented, politically unstable, with lack of regulations and historical financial...