9 datasets found
  1. Federal Reserve FOMC Minutes & Statements Dataset

    • kaggle.com
    zip
    Updated Apr 13, 2023
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    DrLexus (2023). Federal Reserve FOMC Minutes & Statements Dataset [Dataset]. https://www.kaggle.com/datasets/drlexus/fed-statements-and-minutes/discussion
    Explore at:
    zip(1217331 bytes)Available download formats
    Dataset updated
    Apr 13, 2023
    Authors
    DrLexus
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset contains the text from Federal Reserve FOMC (Federal Open Market Committee) meeting minutes and statements, collected by scraping the Federal Reserve's website. The data spans a specific period of time, providing insights into the central bank's monetary policy decisions and discussions.

    Content

    The dataset consists of the following columns:

    • Date: The date of the FOMC meeting or statement release in the format YYYYMMDD.
    • Type: Indicator for the type of document. 0 represents a statement, while 1 represents meeting minutes.
    • Text: The text content of each paragraph in the meeting minutes or statements.

    Acknowledgements

    The data is collected from the official Federal Reserve website (https://www.federalreserve.gov) using a custom Python scraper built with BeautifulSoup.

    Inspiration

    This dataset can be used for various purposes, such as:

    1. Analyzing the sentiment and tone of FOMC meeting minutes and statements over time.
    2. Identifying key phrases and words that indicate changes in monetary policy.
    3. Developing natural language processing models to predict future policy decisions based on historical data.
    4. Investigating the relationship between FOMC meeting minutes/statements and financial market reactions.
  2. Data from: Financial Markets’ Perceptions of the FOMC’s Data-Dependent...

    • clevelandfed.org
    Updated Feb 21, 2024
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    Federal Reserve Bank of Cleveland (2024). Financial Markets’ Perceptions of the FOMC’s Data-Dependent Monetary Policy [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2024/ec-202403-financial-markets-perceptions
    Explore at:
    Dataset updated
    Feb 21, 2024
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    Over the past ten years, the Federal Open Market Committee (FOMC) has repeatedly emphasized that future policy is data dependent. In this Economic Commentary , we investigate how financial markets expected future interest rates to change with the release of new data on inflation and labor market conditions. We find that the surprises in economic indicators have a stronger effect on the 2-year Treasury yield than on the expected federal funds rate to be set in the next FOMC meeting. This implies that markets understand that under the data-dependent approach, policy decisions do not heavily rely on the most recent data or short-run fluctuations, but, rather, rely more on the persistent trend of the economy. In addition, we observe that expected future interest rates have become more sensitive to surprises in inflation after 2022, suggesting that the FOMC’s determination to reduce inflation has been well-understood by the markets.

  3. The FOMC's Balance-of-Risk Statement and Market Expectations of Policy...

    • icpsr.umich.edu
    Updated Apr 18, 2003
    + more versions
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    Rasche, Robert H.; Thornton, Daniel L. (2003). The FOMC's Balance-of-Risk Statement and Market Expectations of Policy Actions [Dataset]. http://doi.org/10.3886/ICPSR01270.v1
    Explore at:
    Dataset updated
    Apr 18, 2003
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Rasche, Robert H.; Thornton, Daniel L.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/1270/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/1270/terms

    Area covered
    United States
    Description

    In January 2000, the Federal Open Market Committee (FOMC) instituted the practice of issuing a "balance of risks" statement along with their policy decision immediately following each FOMC meeting. The authors evaluate the use of the balance-of-risks statement and the market's interpretation of it. They find that the balance-of-risks statement is one of the factors that market participants use to determine the likelihood that the FOMC will adjust its target for the federal funds rate at their next meeting. Moreover, they find that, on some occasions, the FOMC behaved in such a way as to encourage the use of the balance-of-risks statement for this purpose. The clarifying statements that sometimes accompany these balance-of-risks statements, as well as general remarks made by the Chairman and other FOMC members, often provide additional useful information.

  4. i

    US Stock Market Downturn: Nvidia and Major Indices Fall - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 8, 2025
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    IndexBox Inc. (2025). US Stock Market Downturn: Nvidia and Major Indices Fall - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/us-stock-market-declines-as-nvidia-leads-tech-rout/
    Explore at:
    docx, pdf, xls, doc, xlsxAvailable download formats
    Dataset updated
    Oct 8, 2025
    Dataset authored and provided by
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Oct 1, 2025
    Area covered
    United States
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    The US stock market declined as Nvidia shares dropped, affecting major indices. Investors are cautious ahead of the Federal Reserve's policy meeting.

  5. h

    fomc_communication

    • huggingface.co
    Updated May 24, 2025
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    Financial Services Innovation Lab, Georgia Tech (2025). fomc_communication [Dataset]. https://huggingface.co/datasets/gtfintechlab/fomc_communication
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 24, 2025
    Dataset authored and provided by
    Financial Services Innovation Lab, Georgia Tech
    License

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

    Description

    Label Interpretation

    LABEL_2: NeutralLABEL_1: HawkishLABEL_0: Dovish

      Citation and Contact Information
    
    
    
    
    
      Cite
    

    Please cite our paper if you use any code, data, or models. @inproceedings{shah-etal-2023-trillion, title = "Trillion Dollar Words: A New Financial Dataset, Task {&} Market Analysis", author = "Shah, Agam and Paturi, Suvan and Chava, Sudheer", booktitle = "Proceedings of the 61st Annual Meeting of the Association for… See the full description on the dataset page: https://huggingface.co/datasets/gtfintechlab/fomc_communication.

  6. Annual Report

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Annual Report [Dataset]. https://catalog.data.gov/dataset/annual-report
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    Report on operations of the Board during the year. Provides minutes of Federal Open Market Committee meetings, financial statements of the Board and combined financial statements of the Reserve Banks, financial statements for Federal Reserve priced services, information on other services provided by the Reserve Banks, directories of Federal Reserve officials and advisory committees, statistical tables, and maps showing the System's District and Branch boundaries. Also known as Policy Action Summaries.

  7. T

    South Korea Stock Market Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). South Korea Stock Market Data [Dataset]. https://tradingeconomics.com/south-korea/stock-market
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    May 3, 1983 - Dec 2, 2025
    Area covered
    South Korea
    Description

    South Korea's main stock market index, the KOSPI, rose to 3995 points on December 2, 2025, gaining 1.90% from the previous session. Over the past month, the index has declined 5.38%, though it remains 59.79% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from South Korea. South Korea Stock Market - values, historical data, forecasts and news - updated on December of 2025.

  8. T

    India Interest Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, India Interest Rate [Dataset]. https://tradingeconomics.com/india/interest-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jul 10, 2000 - Oct 1, 2025
    Area covered
    India
    Description

    The benchmark interest rate in India was last recorded at 5.50 percent. This dataset provides - India Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  9. FOMC_minutes

    • kaggle.com
    zip
    Updated Apr 9, 2023
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    KusiEnoch (2023). FOMC_minutes [Dataset]. https://www.kaggle.com/datasets/niapils/fomc-minutes
    Explore at:
    zip(2850123 bytes)Available download formats
    Dataset updated
    Apr 9, 2023
    Authors
    KusiEnoch
    Description

    This data is the minutes from the Federal Open Market Committee (FOMC) minutes from February, 2005 to December, 2008.

    This is a public data and can be accessed from the link below. https://www.federalreserve.gov/monetarypolicy/fomchistorical2008.htm

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DrLexus (2023). Federal Reserve FOMC Minutes & Statements Dataset [Dataset]. https://www.kaggle.com/datasets/drlexus/fed-statements-and-minutes/discussion
Organization logo

Federal Reserve FOMC Minutes & Statements Dataset

Text Data of FOMC Meeting Minutes and Statements from the Federal Reserve

Explore at:
zip(1217331 bytes)Available download formats
Dataset updated
Apr 13, 2023
Authors
DrLexus
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This dataset contains the text from Federal Reserve FOMC (Federal Open Market Committee) meeting minutes and statements, collected by scraping the Federal Reserve's website. The data spans a specific period of time, providing insights into the central bank's monetary policy decisions and discussions.

Content

The dataset consists of the following columns:

  • Date: The date of the FOMC meeting or statement release in the format YYYYMMDD.
  • Type: Indicator for the type of document. 0 represents a statement, while 1 represents meeting minutes.
  • Text: The text content of each paragraph in the meeting minutes or statements.

Acknowledgements

The data is collected from the official Federal Reserve website (https://www.federalreserve.gov) using a custom Python scraper built with BeautifulSoup.

Inspiration

This dataset can be used for various purposes, such as:

  1. Analyzing the sentiment and tone of FOMC meeting minutes and statements over time.
  2. Identifying key phrases and words that indicate changes in monetary policy.
  3. Developing natural language processing models to predict future policy decisions based on historical data.
  4. Investigating the relationship between FOMC meeting minutes/statements and financial market reactions.
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