Investment Decision of Chinese Open-Ended Funds Based on SVM
Reviewing the history and looking forward the direction of our investment funds, we construct the evaluation indicator system for the openended funds in China according to its characteristics. Choosing Morning Stars classifications for mature fund market around Asia as training set, this paper makes use of Support Vector Machine on the platform of LIBSVM , and classifies the 198 funds in both Shanghai and Shenzhen Stock Exchange artificial-intelligently. The result shows that: 1) most of the open-ended funds belong to the high-risk fund except for bond fund; 2) more than 92.5 percent of the hybrid funds are provided with the stock funds features, which possess a high risk and are not a wise choice for risk-neutered investors. 3) some mutual funds are not identical with the definition in prospectuses of mutual funds. Based on all these impersonal results, we put forward some advice for fund investors in allusion to open-ended fund in China.
Jianhui Yang Hong Pan
School of Business Administration South China University of Technology Guangzhou, GD 510641
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）