Risk prevention of Shanghai gold futures based on VaR model

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dc.contributor.advisor Ye, George
dc.coverage.spatial Shanghai (China)
dc.creator Lin, Chuan
dc.date.accessioned 2015-05-28T15:11:57Z
dc.date.available 2015-05-28T15:11:57Z
dc.date.issued 2015
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/26146
dc.description 1 online resource (56 p.)
dc.description Includes abstract.
dc.description Includes bibliographical references (p. 54-55).
dc.description.abstract This article introduces Shanghai gold futures and describes an in-depth analysis of the risk characteristics of the Shanghai gold futures market. By investigating the Shanghai gold futures price risk, this paper introduces the value at risk (VaR) theory model and uses related theories to conduct an empirical study on gold futures trading data of the Shanghai futures market. The study also works out the relative value of the VaR and then conducts a posterior test, which proved that the VaR results were basically consistent with the actual transaction data, indicating the approach of the model is effective and can be used as the basis for operational risk prevention. Finally, based on the actual situation of the Shanghai gold futures market, this paper puts forward some related measures to prevent risks and to help investors avoid these associated risks. en_CA
dc.description.provenance Submitted by Greg Hilliard (greg.hilliard@smu.ca) on 2015-05-28T15:11:57Z No. of bitstreams: 1 Lin_Chuan_MRP_2015.pdf: 350193 bytes, checksum: 39c5d30d9b1cd93af07693801e5d4a83 (MD5) en
dc.description.provenance Made available in DSpace on 2015-05-28T15:11:57Z (GMT). No. of bitstreams: 1 Lin_Chuan_MRP_2015.pdf: 350193 bytes, checksum: 39c5d30d9b1cd93af07693801e5d4a83 (MD5) Previous issue date: 2015-01-19 en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.title Risk prevention of Shanghai gold futures based on VaR model en_CA
dc.type Text en_CA
thesis.degree.name Master of Finance
thesis.degree.level Masters
thesis.degree.discipline Finance, Information Systems, & Management Science
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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