Does the singular value decomposition entropy have predictive power for stock market? — Evidence from the Shenzhen stock market

Rongbao Gu, Wei Xiong and Xinjie Li

Physica A: Statistical Mechanics and its Applications, 2015, vol. 439, issue C, 103-113

Abstract: This paper analyzes the predictive ability of the singular value decomposition entropy for the Shenzhen Component Index based on different scales. It is found that, the predictive ability of the entropy for the index is affected by the width of moving time windows and the structural break in stock market. By moving time windows with one year, the predictive power of singular value decomposition entropy of Shenzhen stock market for its component index is found after the reform of non-tradable shares.

Keywords: Stock market; Prediction; Singular value decomposition; Entropy; Structural break (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (17)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:439:y:2015:i:c:p:103-113

DOI: 10.1016/j.physa.2015.07.028

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