Volume 5, Issue 5, September 2019, Page: 64-69
Development Analysis of Chinese and American Technology Innovation Board Based on Time Series Model
Wei Wei, School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China
Ma Yuyi, School of Economics and Management, Shanghai Ocean University, Shanghai, China
Hu Junlong, School of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai, China
Received: Oct. 11, 2019;       Accepted: Oct. 30, 2019;       Published: Nov. 6, 2019
DOI: 10.11648/j.ebm.20190505.11      View  38      Downloads  10
Abstract
The technology innovation board mainly serves scientific and technological innovation enterprises that conform to the national strategy, breakthrough key core technologies and have high market recognition. It is a crucial step for China to implement the strategy of strengthening China through science and technology and can promote the mutual growth of the capital market and scientific and technological innovation. For its research on the development of our country has a far-reaching significance. First, we conducted cluster analysis, divided the company into different industries, took the price-sales ratio as the valuation level, established a time series model, and analyzed the valuation premium or discount of various industries in China and the United States. The relation between market index, underlying index, and liquidity index is obtained by polynomial regression fitting equation. When forecasting the fundamental indicators and liquidity indicators of China and our market in 2019, the author USES the existing data to predict the fundamental indicators and liquidity indicators in 2019 by using the time series model and then obtains the valuation indicators of the two markets in 2019. Finally, in order to study the development of gem, we consulted the fundamental data of 93 companies, referred to the quantitative stock index model of our market and liquidity index of the Chinese market, and thus predicted the valuation level of the first batch of tech create board companies after listing.
Keywords
Time Series Model, Cluster Analysis, Multiple Factor Regression Fitting, Grayscale Prediction, Factor Weight Analysis
To cite this article
Wei Wei, Ma Yuyi, Hu Junlong, Development Analysis of Chinese and American Technology Innovation Board Based on Time Series Model, European Business & Management. Vol. 5, No. 5, 2019, pp. 64-69. doi: 10.11648/j.ebm.20190505.11
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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