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A Simple Method of Forecasting Option Prices Based on Neural Networks
Liang, Xun ; Zhang, Haisheng ; Li, Xiang
2009
关键词Option prices forecasting Hong Kong option market neural networks
英文摘要Options are an important financial derivative for the investors to control their investment risks in the security markets. The forecasting activity should realistically identify the option price in the future without knowing underlying asset price in advance. In this paper, a simple method of forecasting option prices based on neural networks is presented. We modify the traditional option pricing methods, enabling them to be eligible for forecasting the option prices. Then we employ the neural networks to further decrease the forecasting errors of the modified conventional methods. Finally, the experimental studies are conducted on the data of the Hong Kong option market, and the results demonstrate that the neural networks are able to improve the forecasting performance considerably. Conclusively, our neural network methods on option forecasting are fairly effectual in practice.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000269972300059&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; Engineering, Industrial; EI; CPCI-S(ISTP); 2
语种英语
DOI标识10.1007/978-3-642-02568-6_59
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/321262]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Liang, Xun,Zhang, Haisheng,Li, Xiang. A Simple Method of Forecasting Option Prices Based on Neural Networks. 2009-01-01.
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