中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
FORECASTING NIKKEI 225 INDEX WITH SUPPORT VECTOR MACHINE

文献类型:期刊论文

作者Huang Wei1; Yoshiteru Nakamori1; Wang Shouyang2; Yu Lean2
刊名系统科学与复杂性:英文版
出版日期2003
卷号16.0期号:004页码:415-423
关键词支持向量机 学习算法 金融市场 财务预测 NIKKEI225
ISSN号1009-6124
其他题名Forecasting nikkei 225 index with support vector machine
英文摘要Support Vector Machine (SVM) is a very specific type of learning algorithms characterized by the capacity control of the decision function, the use of the kernel functions and the sparsity of the solution. In this paper, we investigate the predictability of financial movement direction with SVM by forecasting the weekly movement direction of NIKKEI 225 index. To evaluate the forecasting ability of SVM, we compare the perfor-mance with those of Linear Discriminant Analysis, Quadratic Discriminant Analysis and Elman Backpropagation Neural Networks. The experiment results show that SVM outperforms other classification methods. Furthermore, we propose a combining model by integrating SVM with other classification methods. The combining model performs the best among the forecasting methods.
语种中文
CSCD记录号CSCD:1271028
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/55713]  
专题中国科学院数学与系统科学研究院
作者单位1.北陆先端科学技术大学院大学
2.中国科学院数学与系统科学研究院
推荐引用方式
GB/T 7714
Huang Wei,Yoshiteru Nakamori,Wang Shouyang,et al. FORECASTING NIKKEI 225 INDEX WITH SUPPORT VECTOR MACHINE[J]. 系统科学与复杂性:英文版,2003,16.0(004):415-423.
APA Huang Wei,Yoshiteru Nakamori,Wang Shouyang,&Yu Lean.(2003).FORECASTING NIKKEI 225 INDEX WITH SUPPORT VECTOR MACHINE.系统科学与复杂性:英文版,16.0(004),415-423.
MLA Huang Wei,et al."FORECASTING NIKKEI 225 INDEX WITH SUPPORT VECTOR MACHINE".系统科学与复杂性:英文版 16.0.004(2003):415-423.

入库方式: OAI收割

来源:数学与系统科学研究院

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