assumptions alone in measuring risk. Cushioning against risk has always created a plethora of complexities and challenges; hence …, this paper attempts to analyse statistical properties of various risk measures in a not normal distribution and provide a … financial blueprint on how to manage risk. It is assumed that using old assumptions of normality alone in a distribution is not …

for improving our understanding of the risk of hedge funds. At the same time, research has sprung up that applies standard … performance and risk assessment. After constructing Bayesian estimators for alpha-stable distributions in the context of an ARMA …-GARCH time series model with stable innovations, we compare our risk evaluation and prediction results to the predictions of …

construction of reliablesemi-parametric estimates of the risk associated with extreme pricemovements. Our approach is based on semi …

. Based on these active risk factors, an adjustment for intertemporal dependency is made. The authors extend TEDAS methodology … to three gestalts differing in allocation weights’ determination: a Cornish-Fisher Value-at-Risk minimization, Markowitz …