{"title":"A mixed model for open-end fund performance evaluation","authors":"Xiaoyue Zhao, Yongfeng Xu, Ren-Wei Zhao, Jianglun Wu","doi":"10.1109/ICACI.2016.7449830","DOIUrl":null,"url":null,"abstract":"In this paper, the hierarchical chart for open-end fund performance evaluation is obtained by using the analytic hierarchy process. Furthermore, by utilizing the fuzzy and grey comprehensive evaluation methods, a scoring model for the evaluation of open-end funds is established. A 3σ method-based comparison model is then constructed. Finally, an empirical study is conducted by using section data for the 159 open-end funds. The obtained results show that the models developed in the present study for the evaluation of open-end fund performance do indeed reflect the performance of each individual fund relatively well for the given sample period, and the evaluation results archived by using the established models are close to the results of evaluations conducted by each professional organization. The models formulated in the present study can help investors determine fund performance levels based on fund section data.","PeriodicalId":211040,"journal":{"name":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2016.7449830","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, the hierarchical chart for open-end fund performance evaluation is obtained by using the analytic hierarchy process. Furthermore, by utilizing the fuzzy and grey comprehensive evaluation methods, a scoring model for the evaluation of open-end funds is established. A 3σ method-based comparison model is then constructed. Finally, an empirical study is conducted by using section data for the 159 open-end funds. The obtained results show that the models developed in the present study for the evaluation of open-end fund performance do indeed reflect the performance of each individual fund relatively well for the given sample period, and the evaluation results archived by using the established models are close to the results of evaluations conducted by each professional organization. The models formulated in the present study can help investors determine fund performance levels based on fund section data.