3 datasets found
  1. S&P Compustat Database

    • lseg.com
    sql
    Updated Nov 25, 2024
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    LSEG (2024). S&P Compustat Database [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/company-data/fundamentals-data/standardized-fundamentals/sp-compustat-database
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    sqlAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Access historical and point-in-time financial statements, ratios, multiples, and press releases, with LSEG's S&P Compustat Database.

  2. F

    Financial Database Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 10, 2025
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    Market Report Analytics (2025). Financial Database Report [Dataset]. https://www.marketreportanalytics.com/reports/financial-database-75308
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global financial database market is experiencing robust growth, driven by the increasing demand for real-time data and advanced analytical capabilities across various sectors. The market's expansion is fueled by several key factors, including the rising adoption of sophisticated investment strategies, regulatory compliance needs, and the burgeoning fintech industry. The market is segmented by application (personal and commercial use) and database type (real-time and historical). Commercial use currently dominates the market, owing to the extensive data requirements of financial institutions, investment banks, and research firms. However, personal use is anticipated to witness significant growth driven by the increasing accessibility and affordability of financial data through online platforms and subscription services. The real-time database segment holds a larger market share due to its critical role in high-frequency trading and real-time risk management. Key players like Bloomberg, Refinitiv (formerly Thomson Reuters), and S&P Capital IQ are establishing themselves as market leaders through continuous product innovation and strategic acquisitions, solidifying their dominant positions through comprehensive data offerings and sophisticated analytical tools. Geographic expansion is another key driver, with regions like North America and Europe currently holding significant market share, while Asia Pacific is poised for substantial growth due to the expanding financial markets and increasing technological adoption in the region. Competitive pressures are evident, with several companies striving to differentiate themselves through specialized data offerings and partnerships. The forecast period (2025-2033) suggests continued market expansion, albeit at a potentially moderating CAGR compared to previous years. This moderation could be attributed to market saturation in some developed regions and the potential for economic fluctuations. However, emerging markets and technological advancements, such as AI-driven analytics and the integration of alternative data sources, will likely continue to fuel market growth. The increasing importance of ESG (environmental, social, and governance) factors in investment decisions is also expected to drive demand for specialized financial databases that incorporate such data. The ongoing evolution of data security and privacy regulations will also play a crucial role in shaping the market's trajectory. Maintaining data integrity and compliance will be critical for market players.

  3. Governança de Risco em Empresas Seguradoras dos EUA

    • zenodo.org
    Updated Jul 11, 2024
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    Aldy Fernandes da Silva; Aldy Fernandes da Silva; Juliano Rodrigues Silva; Juliano Rodrigues Silva (2024). Governança de Risco em Empresas Seguradoras dos EUA [Dataset]. http://doi.org/10.5281/zenodo.8427283
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    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Aldy Fernandes da Silva; Aldy Fernandes da Silva; Juliano Rodrigues Silva; Juliano Rodrigues Silva
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Estados Unidos
    Description

    A base de dados técnico-científica consiste numa amostra de dados de governança corporativa, governança de risco e dados contábeis e financeiros de 91 empresas seguradoras de capital aberto nos EUA. Esses dados foram coletados dos relatórios anuais de governança corporativa DEF 14A (proxy statement), Formulários 3 e 4 do sistema EDGAR da U.S. Securities and Exchange Commission. Foram também obtidos dados da Lexis Nexis Academic database, LinkedIn e S&P Capital IQ database para composição final da base. Essa base de dados oferece a possibilidade de replicar os resultados de pesquisas empíricos sobre o tema ERM dentro do universo de seguradoras americanas. Assim, a base de dados gera alto impacto potencial para diversos usuários, tais como sociedade, mercado, executivos e acadêmicos.

    A base de dados técnico-científica foi usada para desenvolvimento de artigos técnicos e científicos como, por exemplo, “Do chief risk officers’ committee participation and compensation relate to firm value? An empirical investigation of the insurance industry” disponibilizado na SSRN (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3355854) e outros, em avaliação em períodos científicos.

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Share
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Email
Click to copy link
Link copied
Close
Cite
LSEG (2024). S&P Compustat Database [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/company-data/fundamentals-data/standardized-fundamentals/sp-compustat-database
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S&P Compustat Database

Explore at:
157 scholarly articles cite this dataset (View in Google Scholar)
sqlAvailable download formats
Dataset updated
Nov 25, 2024
Dataset provided by
London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
Authors
LSEG
License

https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

Description

Access historical and point-in-time financial statements, ratios, multiples, and press releases, with LSEG's S&P Compustat Database.

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