GARCH模型下基于偏最小二乘的_省略__来自香港恒生指数期权市场的证据_魏洁.pdf
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GARCH 模型下基于偏最小二乘的欧式股指期
权定价
来自香港恒生指数期权市场的证据
1 2
魏 洁 、韩立岩
(1.山东师范大学经济学院,山东 济南 250014 ;2 .北京航空航天大学经济管理学院,北京 100191 )
摘要:摘要:目前,股指期权呼之欲出,在这种形势下,本文对股指期权定价问题进行了研究。本文首先在
GARCH 模型的基础上导出期权定价估值公式,其次,在 GARCH 欧式股指期权定价模型的基础上,融入偏最小二乘
技术,给出最终的欧式股指期权的偏最小二乘定价方法。最后,对香港恒指期权进行参数估计和 GARCH 建模,运
用新的定价方法进行期权定价。研究发现,对最终期权价格影响最大的是 GARCH 模型的估计值;另外整个大盘的
活跃程度、投资者情绪也有不可忽视的影响。这个结论为中国顺利发展指数期权市场提供了坚实有力的定价依据。
关键词:股票指数期权,GARCH 模型,情绪指标,偏最小二乘
中图分类号:F831 文献标识码:A
The Partial Least-Squares Method in Index Options Pricing
-the evidences from Hangseng index options markets
1 2
WEI Jie 、HAN Li-yan
(1.School of Economics, Shandong Normal University, Shandong Jinan 250014, China,
2. School of Economics and Management, Beihang University, Beijing 10091, China )
Abstract: The stock index options will be inevitably developed in China .In this circumstance,research on stock index
options pricing is quite meaningful. Firstly, we infer the options pricing estimating equation based on GARCH model.
Secondly, we derive the Partial Least-Squares index options pricing model. Finally, we adopt Hangseng index option to test
the validity of the new model. The results of this analysis show that the estimate value of GARCH model is the most
important factor for the final option price; the activity level of deep bid stocks
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