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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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Detalles Bibliográficos
Autor principal: Li, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
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.
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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