The Economics and Finance Letters 2312-6310 2312-430X 10.18488/journal.29/2015.2.2/29.2.8.23 The Economics and Finance Letters Estimating Value at Risk for Sukuk Market Using Generalized Auto Regressive Conditional Heteroskedasticity Models The Economics and Finance Letters The Economics and Finance Letters 02-2015 2015 02-2015 02-2015 2 2 8 23 30 Nov 30 Nov In this paper, we compare the forecasting ability of different GARCH models to estimate value at risk in sukuk market.  A wide extensive list of both symmetric and asymmetric GARCH models (including GARCH, EGARCH, GJR-GARCH, IGARCH and Asymmetric power GARCH) were considered in modeling  the volatility in the sukuk market. All VaR estimations are carried out by “rugarch” package in “R” software. The performance of these models is compared by both in-sample and out-of-sample analysis.  We found that the performance of asymmetric models in estimating value at risk are superior in both in-sample and out-of-sample evaluation. We also found that in most cases the student-t distribution is more preferable than normal or generalized error distribution (GED).