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.
| Published in | European Business & Management (Volume 5, Issue 5) |
| DOI | 10.11648/j.ebm.20190505.11 |
| Page(s) | 55-60 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Time Series Model, Cluster Analysis, Multiple Factor Regression Fitting, Grayscale Prediction, Factor Weight Analysis
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APA Style
Wei Wei, Ma Yuyi, Hu Junlong. (2019). Development Analysis of Chinese and American Technology Innovation Board Based on Time Series Model. European Business & Management, 5(5), 55-60. https://doi.org/10.11648/j.ebm.20190505.11
ACS Style
Wei Wei; Ma Yuyi; Hu Junlong. Development Analysis of Chinese and American Technology Innovation Board Based on Time Series Model. Eur. Bus. Manag. 2019, 5(5), 55-60. doi: 10.11648/j.ebm.20190505.11
AMA Style
Wei Wei, Ma Yuyi, Hu Junlong. Development Analysis of Chinese and American Technology Innovation Board Based on Time Series Model. Eur Bus Manag. 2019;5(5):55-60. doi: 10.11648/j.ebm.20190505.11
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Download@article{10.11648/j.ebm.20190505.11,
author = {Wei Wei and Ma Yuyi and Hu Junlong},
title = {Development Analysis of Chinese and American Technology Innovation Board Based on Time Series Model},
journal = {European Business & Management},
volume = {5},
number = {5},
pages = {55-60},
doi = {10.11648/j.ebm.20190505.11},
url = {https://doi.org/10.11648/j.ebm.20190505.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ebm.20190505.11},
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.},
year = {2019}
}
TY - JOUR T1 - Development Analysis of Chinese and American Technology Innovation Board Based on Time Series Model AU - Wei Wei AU - Ma Yuyi AU - Hu Junlong Y1 - 2019/11/06 PY - 2019 N1 - https://doi.org/10.11648/j.ebm.20190505.11 DO - 10.11648/j.ebm.20190505.11 T2 - European Business & Management JF - European Business & Management JO - European Business & Management SP - 55 EP - 60 PB - Science Publishing Group SN - 2575-5811 UR - https://doi.org/10.11648/j.ebm.20190505.11 AB - 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. VL - 5 IS - 5 ER -
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