Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021)

Analysis of the Relationship Between New Stock Issue and Price Determination and Information Efficiency

Authors
Haoyuan Wang, Wangui Sun
Corresponding Author
Haoyuan Wang
Available Online 20 May 2021.
DOI
10.2991/assehr.k.210519.056How to use a DOI?
Keywords
IPO; The price, Sure, Information, Efficiency, Covariance structure model
Abstract

Based on the understanding of new shares, the price is determined and the relationship between the efficiency, according to the presented between the multi-level and multi-dimensional characteristics, build a has the internal logic relations, can be intuitive show the theoretical framework of influence factors, and using covariance structure model analysis method of experiment and analysis, It is clear that the information efficiency of IPO pricing in China is limited.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
20 May 2021
ISBN
978-94-6239-381-3
ISSN
2352-5398
DOI
10.2991/assehr.k.210519.056How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Haoyuan Wang
AU  - Wangui Sun
PY  - 2021
DA  - 2021/05/20
TI  - Analysis of the Relationship Between New Stock Issue and Price Determination and Information Efficiency
BT  - Proceedings of the 7th International Conference on Humanities and Social Science Research (ICHSSR 2021)
PB  - Atlantis Press
SP  - 285
EP  - 288
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210519.056
DO  - 10.2991/assehr.k.210519.056
ID  - Wang2021
ER  -