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Insider trading
This paper describes a dataset capturing insider trading activity at publicly traded companies. Investors and investment analysts demand this information because executives, directors and large shareholders are expected to have more intimate knowledge of their company’s prospects than outsiders. Ins...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130014/ https://www.ncbi.nlm.nih.gov/pubmed/37185601 http://dx.doi.org/10.1038/s41597-023-02147-6 |
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author | Balogh, Attila |
author_facet | Balogh, Attila |
author_sort | Balogh, Attila |
collection | PubMed |
description | This paper describes a dataset capturing insider trading activity at publicly traded companies. Investors and investment analysts demand this information because executives, directors and large shareholders are expected to have more intimate knowledge of their company’s prospects than outsiders. Insider stock sales and purchases may reveal information about the firm’s business not disclosed in financial statements. They may also convey new information predictive of stock price movements if insiders can better interpret public information about the firm. Since mid-2003, the Securities and Exchange Commission has made these insider trading reports available to the public in a structured format; however, most academic papers use proprietary commercial databases instead of regulatory filings directly. This makes replication challenging as the data manipulation and aggregation processes are opaque and historical records could be altered by the database provider over time. To overcome these limitations, the presented dataset is created from original regulatory filings; it is updated daily and includes all information reported by insiders without alteration. |
format | Online Article Text |
id | pubmed-10130014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101300142023-04-27 Insider trading Balogh, Attila Sci Data Data Descriptor This paper describes a dataset capturing insider trading activity at publicly traded companies. Investors and investment analysts demand this information because executives, directors and large shareholders are expected to have more intimate knowledge of their company’s prospects than outsiders. Insider stock sales and purchases may reveal information about the firm’s business not disclosed in financial statements. They may also convey new information predictive of stock price movements if insiders can better interpret public information about the firm. Since mid-2003, the Securities and Exchange Commission has made these insider trading reports available to the public in a structured format; however, most academic papers use proprietary commercial databases instead of regulatory filings directly. This makes replication challenging as the data manipulation and aggregation processes are opaque and historical records could be altered by the database provider over time. To overcome these limitations, the presented dataset is created from original regulatory filings; it is updated daily and includes all information reported by insiders without alteration. Nature Publishing Group UK 2023-04-26 /pmc/articles/PMC10130014/ /pubmed/37185601 http://dx.doi.org/10.1038/s41597-023-02147-6 Text en © Crown 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Balogh, Attila Insider trading |
title | Insider trading |
title_full | Insider trading |
title_fullStr | Insider trading |
title_full_unstemmed | Insider trading |
title_short | Insider trading |
title_sort | insider trading |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130014/ https://www.ncbi.nlm.nih.gov/pubmed/37185601 http://dx.doi.org/10.1038/s41597-023-02147-6 |
work_keys_str_mv | AT baloghattila insidertrading |