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Data of pre-IPO or listing firm characteristics and post-listing stock returns of Chinese listed firms
The data set contains the data of variables, such as indicators of forms or host markets of the Chinese listed firms, pre-IPO or listing firm characteristics and post-IPO or listing stock returns. These variables can be used to estimate the probabilities of overseas listing in specific forms or loca...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066056/ https://www.ncbi.nlm.nih.gov/pubmed/32181288 http://dx.doi.org/10.1016/j.dib.2020.105226 |
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author | Li, Hong |
author_facet | Li, Hong |
author_sort | Li, Hong |
collection | PubMed |
description | The data set contains the data of variables, such as indicators of forms or host markets of the Chinese listed firms, pre-IPO or listing firm characteristics and post-IPO or listing stock returns. These variables can be used to estimate the probabilities of overseas listing in specific forms or locations through binary probit or multinomial logistic regression, and to evaluate the consequences of overseas listing in some specific forms or locations via the two-factor asset pricing model. Furthermore, these data can be used to estimate the models simultaneously within the potential outcome framework as done in the paper, entitled ‘Direct overseas listing versus cross-listing: A multivalued treatment effects analysis of Chinese listed firms’. https://doi.org/10.1016/j.irfa.2019.101391. |
format | Online Article Text |
id | pubmed-7066056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-70660562020-03-16 Data of pre-IPO or listing firm characteristics and post-listing stock returns of Chinese listed firms Li, Hong Data Brief Economics, Econometrics and Finance The data set contains the data of variables, such as indicators of forms or host markets of the Chinese listed firms, pre-IPO or listing firm characteristics and post-IPO or listing stock returns. These variables can be used to estimate the probabilities of overseas listing in specific forms or locations through binary probit or multinomial logistic regression, and to evaluate the consequences of overseas listing in some specific forms or locations via the two-factor asset pricing model. Furthermore, these data can be used to estimate the models simultaneously within the potential outcome framework as done in the paper, entitled ‘Direct overseas listing versus cross-listing: A multivalued treatment effects analysis of Chinese listed firms’. https://doi.org/10.1016/j.irfa.2019.101391. Elsevier 2020-01-31 /pmc/articles/PMC7066056/ /pubmed/32181288 http://dx.doi.org/10.1016/j.dib.2020.105226 Text en © 2020 The Author http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Economics, Econometrics and Finance Li, Hong Data of pre-IPO or listing firm characteristics and post-listing stock returns of Chinese listed firms |
title | Data of pre-IPO or listing firm characteristics and post-listing stock returns of Chinese listed firms |
title_full | Data of pre-IPO or listing firm characteristics and post-listing stock returns of Chinese listed firms |
title_fullStr | Data of pre-IPO or listing firm characteristics and post-listing stock returns of Chinese listed firms |
title_full_unstemmed | Data of pre-IPO or listing firm characteristics and post-listing stock returns of Chinese listed firms |
title_short | Data of pre-IPO or listing firm characteristics and post-listing stock returns of Chinese listed firms |
title_sort | data of pre-ipo or listing firm characteristics and post-listing stock returns of chinese listed firms |
topic | Economics, Econometrics and Finance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066056/ https://www.ncbi.nlm.nih.gov/pubmed/32181288 http://dx.doi.org/10.1016/j.dib.2020.105226 |
work_keys_str_mv | AT lihong dataofpreipoorlistingfirmcharacteristicsandpostlistingstockreturnsofchineselistedfirms |