Data Mining for the Global Natural Resources Funds Development
學年 104
學期 2
出版（發表）日期 2016-06-01
作品名稱 Data Mining for the Global Natural Resources Funds Development
作品名稱（其他語言）
著者 Shu-Hsien Liao; Chien-Wen Li; Yi-Fang Tsai
單位
出版者
著錄名稱、卷期、頁數 International Journal of Intelligent Information and Database Systems 9(3-4), p.289-314
摘要 After the financial crisis in 2008, easy money policy and fiscal policy implemented by countries have managed to aid the recovery of the global economic. Recovering economic activities and infrastructure projects have also increased the demand for raw material, pushing up commodity prices. Under these related demand drives, the exceptional performance of natural resources funds has proven its investment value. However, it is difficult to select proper funds or make investment choice with limited funds. Therefore, this study implements the big data analysis, the association rules, using SPSS Modeler as a tool to discover the co-movement knowledge of global natural resources fund market. This provides investors with feasible suggestions while creating their investment portfolios as well as different ways of investing their funds. On the other hand, from investment corporations' point of view, this study provides three sets of natural resources funds combinations for possible product design and investment decision making.
關鍵字 data mining;association rules mining;natural resources funds;co-movement;investment portfolios;risk management;fund development;investment value;big data analytics;product design;investment decision making;commodity prices
語言 en
ISSN 1751-5858;1751-5866
期刊性質 國外
收錄於 EI
產學合作
通訊作者
審稿制度 是
國別 GBR
公開徵稿
出版型式 ,電子版,紙本
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