Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/117556
DC FieldValueLanguage
dc.contributor財管系zh_TW
dc.creator陳聖賢zh_TW
dc.creatorChen, Sheng-Syanen_US
dc.creatorLee, Cheng-fewen_US
dc.creatorShrestha, Keshaben_US
dc.date2003
dc.date.accessioned2018-06-11T09:33:42Z-
dc.date.available2018-06-11T09:33:42Z-
dc.date.issued2018-06-11T09:33:42Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/117556-
dc.description.abstractThis paper presents a review of different theoretical approaches to the optimal futures hedge ratios. These approaches are based on minimum variance, mean-variance, expected utility, mean extended-Gini coefficient, as well as semivariance. Various ways of estimating these hedge ratios are also discussed, ranging from simple ordinary least squares to complicated heteroscedastic cointegration methods. Under martingale and joint-normality conditions, different hedge ratios are the same as the minimum variance hedge ratio. Otherwise, the optimal hedge ratios based on the different approaches are different and there is no single optimal hedge ratio that is distinctly superior to the remaining ones.en_US
dc.format.extent209070 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationQuarterly Review of Economics and Finance, Vol.43, No.3, pp.433-465zh_TW
dc.subjectHedge ratio; Semivariance; Cointegration; Minimum variance; Gini coefficienten_US
dc.titleFutures Hedge Ratios: A Reviewen_US
dc.typearticle
dc.identifier.doi10.1016/S1062-9769(02)00191-6
dc.doi.urihttp://dx.doi.org/10.1016/S1062-9769(02)00191-6
item.grantfulltextrestricted-
item.openairetypearticle-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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