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Fuzzy logic neural network based growth enterprise market analysis for registration-based IPO system
Journal of Intelligent & Fuzzy Systems ( IF 2 ) Pub Date : 2021-06-07 , DOI: 10.3233/jifs-219038
Ruihang Shen 1
Affiliation  

In real life, the stock price is always easy to be mispriced after listing, too high or too low. There are numerous reasons behind mispricing. Many scholars believe that the information asymmetry is one of them. In an inefficient market, the information asymmetry is bound to exist and be very high.In order to investigate the impact of registration-based IPO system reforms in mispricing, this paper takes the GEM market as an example to analyze the impact of the GEM market on mispricing. And we proposed a method with fuzzy logic neural network for Growth Enterprise Market analysis for IPO system. After processing data, we use ARIMA and EGARCH model to find the results. The immaturity will result in the negative impact caused by reformation, which will deviate from the goal that makes Chinese stock market become better.
更新日期:2021-06-09
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