Develop Calendar Effect-based Trading Strategy Using Time-series Modeling and Artificial Intelligence Methods

碩士 === 國立交通大學 === 資訊管理研究所 === 104 === This paper focuses on analyzing and modeling the calendar anomalies in the 502 component stocks of S&P 500 Index. The research target of Day-of-the-week effect is defined as “daily return on Mondays could be lower than it on previous Friday”. Compared to the...

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Bibliographic Details
Main Authors: Cheng, Chiao-Chun, 鄭巧君
Other Authors: Chen, An-Pin
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/47925875640239653421