Ahmadreza Jalali Naiini; Vahid Ghorbani Pashakolae; Mohamad Sayadi
Volume 3, Issue 9 , January 2014, , Pages 31-52
Abstract
Due to price volatility in the oil market, market players are exposed to large risks. Value at Risk (VaR) is one of the main methods to measure market risk in various asset markets including commodities.,. In this study, Upside and Downside Risks are estimated by using the GED-GARCH method that is appropriate ...
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Due to price volatility in the oil market, market players are exposed to large risks. Value at Risk (VaR) is one of the main methods to measure market risk in various asset markets including commodities.,. In this study, Upside and Downside Risks are estimated by using the GED-GARCH method that is appropriate for leptokurtic distributions with fat tail. The daily spot and Futures oil prices data from January 1986 to December 2010 data for "in sample" and from January 2011 to July 2012 for "out of sample" are our data sample. To test the reliability of estimated VaR, the Kupiec test is used. Also by using Granger Causality analysis, the spillover effect risk between spot and futures oil price returns are investigated. Results show that spot and futures returns have leptokurtic distribution with fat tails. There is also a significant upside spillover effect risk from futures to spot price returns at 99% confidence level as for oil price increases during 2000s.
