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- W2370203445 abstract "Based on the BP neural network,the paper sets up the model with the sample of large non-tradable shareholders in Shenzhen stock market and optimizes the model by genetic algorithm,and then gets factors of the more contribution for output by neural network contribution rate analysis.Through deeply studying the related curves under the different index variables,the results of empirical research show that the sale of large non-tradable share is not all the representative of the declining investment value of the enterprise,and ordinary investors can get positive investment signals from it.In addition,regulators should completely guarantee the circulation right of large shareholders to maintain its confidence in the national policy,and control the sale of large non-tradable share based on those factors with higher contribution rate,which is more effective to maintain the market stability than limiting it only.It brings a multilateral beneficiary situation to regulators,investors and large non-tradable share." @default.
- W2370203445 created "2016-06-24" @default.
- W2370203445 creator A5008031990 @default.
- W2370203445 date "2010-01-01" @default.
- W2370203445 modified "2023-09-24" @default.
- W2370203445 title "An Empirical Analysis of the Subtraction Influencing Factors of the Sale of Large Non-tradable Share Based on BP Neural Network——Taking Shenzhen Stock Market as an Example" @default.
- W2370203445 hasPublicationYear "2010" @default.
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