Koenker R. Quantile regression [M]. Cambridge:Cambridge University Press, 2005.
[3]
Koenker R, Xiao Zhijie.Quantile autoregression [J]. Journal of the American Statistical Association, 2006, 101(475): 980-990.
[4]
Engle R F, Mangaelli S.CAViaR: Conditional autoregressive value at risk by regression quantiles [J]. Journal of Business & Economic Statistics, 2004, 22(4): 367-381.
Giot P, Laurent S.Market risk in commodity markets: A VaR approach [J]. Energy Economics, 2003, 25(5): 435-457.
[11]
Costello A, Asem E, Gardner E.Comparison of historically simulated VaR: evidence from oil prices [J]. Energy Economics, 2008, 30(5): 2154-2166.
[12]
Hung J C, Lee M C, Liu H C. Estimation of value-at-risk for energy commodities via fat-tailed GARCH models [J]. Energy Economics, 2008, 30(3): 1173-1191.
[13]
Fan Ying, Zhang Yuejun,Tsai H T,Wei Yiming. Estimating value at risk of crude oil price and its spillover effect using the GED-GARCH approach [J]. Energy Economics, 2008, 30(6): 3156-3171.
[14]
Aloui C, Mabrouk S.Value-at-risk estimations of energy commodities via long-memory, asymmetry and fat-tailed GARCH models [J]. Energy Policy, 2010, 38: 2326-2339.
Huang Dashan,Yu Baimin, Fabozzi F, Fukushima M.CAViaR-based forecast for oil price risk [J]. Energy Economics, 2009, 31(4): 511-518.
[20]
Fong Waimun, See K H.A Markov switching model of the conditional volatility of crude oil futures prices [J]. Energy Economics, 2002,24(1):71-95.
[21]
Sadorsky P.Modeling and forecasting petroleum futures volatility [J]. Energy Economics, 2006,28(4): 467-488.
[22]
Cheong C W.Modeling and forecasting crude oil markets using ARCH-type models [J]. Energy Policy, 2009, 37: 2346-2355.
[23]
Kang S H, Kang S M,Yoon S M.Forecasting volatility of crude oil markets [J]. Energy Economics, 2009, 31(1): 119-125.
[24]
Agnolucci P.Volatility in crude oil futures: a comparison of the predictive ability of GARCH and implied volatility models [J]. Energy Economics, 2009, 31(2): 316-321.
[25]
Wei Yu,Wang Yudong,Huang Dengshi.Forecasting crude oil market volatility: further evidence using GARCH-class models [J]. Energy Economics, 2010, 32(6): 1477-1484.
