Building Multi-factor Stock Return Models Using Regression Analysis and Regression Trees─ Empirical Study in USA Stock Market

碩士 === 中華大學 === 資訊管理學系碩士在職專班 === 100 === Combining multiple factors may construct a more accurate stock return prediction model, but a trial and error approach is clearly inefficient to discovery the best multi-factor model. In this study, sort normalization was employed to normalize the independent...

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Bibliographic Details
Main Authors: Chen Hung Chun, 陳俊宏
Other Authors: Yeh, I-Cheng
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/78737459524670281525