DocumentCode
2836526
Title
Notice of Retraction
The measurement and analysis of currency mismatch risk at macro level
Author
Wang Zhongzhao
Author_Institution
Bus. Sch., Guangxi Univ., Nanning, China
Volume
2
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The key issue of using VaR method to measure risk is the choice of models and distribution patterns, the effect of a single method is often unsatisfactory, based on this point, this paper analyses the VaR risk of currency mismatch with the combined measure of multiple models. The results show that: The VaR value of composite model is more reasonable and reliable than a single model; the risk of Chinese currency mismatches at this stage with debt-type characteristics is mainly because foreign currency assets grew faster than foreign currency liabilities; when there is a choice between currency appreciation and depreciation, currency appreciation is more favorable than depreciation to the weakening of the debt-based currency mismatch risk.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The key issue of using VaR method to measure risk is the choice of models and distribution patterns, the effect of a single method is often unsatisfactory, based on this point, this paper analyses the VaR risk of currency mismatch with the combined measure of multiple models. The results show that: The VaR value of composite model is more reasonable and reliable than a single model; the risk of Chinese currency mismatches at this stage with debt-type characteristics is mainly because foreign currency assets grew faster than foreign currency liabilities; when there is a choice between currency appreciation and depreciation, currency appreciation is more favorable than depreciation to the weakening of the debt-based currency mismatch risk.
Keywords
financial management; foreign exchange trading; risk analysis; Chinese currency mismatch; VaR risk; debt-based currency mismatch risk analysis; foreign currency assets; macro level risk measurement; AR (m)-ARCH Models; combined measure; currency mismatch; risk;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5620549
Filename
5620549
Link To Document