Wavelet Analyses On The Multi-Factor Model Construction:An Empirical Study In Taiwan Stock Market

碩士 === 國立中山大學 === 經濟學研究所 === 94 === In our research, we introduce the wavelet transform, WT, to establish the regression. Owning to the ability of handling noise signal, we decided to choose WT as the data-preprocessor. Allpying the multi-resolution analysis, MRA, of WT to decompose every factor int...

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Bibliographic Details
Main Authors: Jun-Hao Huang, 黃俊豪
Other Authors: Jen-Jsung Huang
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/43737503440333422698