Predicting stock index movement using twin support vector machine as an integral part of enterprise system.

In order to improve the predicting performance of stock index movement, this study proposes a new predicting model called Twin Support Vector Machines (TWSVM), which will be used to predict the trend of Shanghai Securities Composite Index (SSCI) and Standard and Poor's 500 Index (S&P500 Index), resp...

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Bibliographic Details

Published in:	Systems Research & Behavioral Science Vol. 39; no. 3; pp. 428 - 440
Main Authors:	Zou, Borong, Wang, Hong, Li, Hui, Li, Ling, Zhao, Yuhan
Format:	Article
Published:	Wiley-Blackwell May2022
Subjects:	Investments Support vector machines Decision trees Random forest algorithms Prediction models Artificial neural networks
Online Access:	View this record in EBSCOhost