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最优波动率模型选择及其在黄金市场中的应用
引用本文:曾繁煜,方兆本,李红星,宋加山.最优波动率模型选择及其在黄金市场中的应用[J].运筹与管理,2006,15(2):108-112,143.
作者姓名:曾繁煜  方兆本  李红星  宋加山
作者单位:中国科学技术大学,统计金融系,安徽,合肥,230026
摘    要:文章先总结了波动率模型过去的研究,并对不同波动率模型的评估提出三种方法,然后讨论了这些方法在黄金市场波动率预测中的应用。通过分析黄金市场1975年到2004年的数据,得出的结论是,如果基于样本外四期预测误差的评估,EWMA模型较优;如果基于样本外四期预测的R平方的评估,T-GARCH模型较优;如果基于VAR损失函数的真实性检验评估,EWMA模型较优。最后对未来关于金融市场波动率的研究提出一些建议。

关 键 词:金融学  预测评估  样本外预测  黄金市场  波动率
文章编号:1007-3221(2006)02-0108-05
收稿时间:07 30 2005 12:00AM
修稿时间:2005-07-30

Choice of Best Volatility Models and Its Application to Gold Market
ZENG Fan-yu,FANG Zhao-ben,LI Hong-xing,SONG Jia-shan.Choice of Best Volatility Models and Its Application to Gold Market[J].Operations Research and Management Science,2006,15(2):108-112,143.
Authors:ZENG Fan-yu  FANG Zhao-ben  LI Hong-xing  SONG Jia-shan
Abstract:For giving an accurate forecast for financial market, the article discusses the volatility and its evaluation. Firstly it summarizes the achievement of the research, and investigates some methods for choosing the volatility models. Then it discusses its application to gold market. By analyzing the data of gold market from 1975 to 2004, we conclude that, if based on the four weeks of out-of-sample error forecast, the EWMA is better; if based on the four weeks R-square forecast, the T-GARCH is better; if based on the VaR loss function by reality check, the EWMA is better, Finally, The article puts forward some suggestions for future volatility research.
Keywords:finance  forecasting performance  out-of-sample forecast  gold markets  volatility
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