Feature selection methods for financial engineering

This paper explores the application of feature selection methods for financial engineering, and in particular the prediction of stock price movements. In the literature of feature selection methods, wrapper methods are found to be more accurate in generating the optimal subset. This is because the i...

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Bibliographic Details
Main Author: Sridhar, Ashwin
Other Authors: Chen Lihui
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/64713
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Institution: Nanyang Technological University
Language: English

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