46 datasets found
  1. M

    Federal Funds Rate - 70 Years of Historical Data

    • macrotrends.net
    • new.macrotrends.net
    csv
    Updated Mar 25, 2025
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    MACROTRENDS (2025). Federal Funds Rate - 70 Years of Historical Data [Dataset]. https://www.macrotrends.net/2015/fed-funds-rate-historical-chart
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    csvAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    World
    Description

    Historical dataset of the daily level of the federal funds rate back to 1954. The fed funds rate is the interest rate at which depository institutions (banks and credit unions) lend reserve balances to other depository institutions overnight, on an uncollateralized basis. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target rate.

  2. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +18more
    csv, excel, json, xml
    Updated Mar 26, 2025
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    TRADING ECONOMICS (2025). Gold - Price Data [Dataset]. https://tradingeconomics.com/commodity/gold
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    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Mar 26, 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
    Jan 3, 1968 - Mar 26, 2025
    Area covered
    World
    Description

    Gold increased 393.93 USD/t oz. or 15.01% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on March of 2025.

  3. F

    Federal Government; Loan Participation Certificates Excluding Commodity...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Federal Government; Loan Participation Certificates Excluding Commodity Credit Corporation Certificates of Interest; Liability, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FA313161763Q
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Federal Government; Loan Participation Certificates Excluding Commodity Credit Corporation Certificates of Interest; Liability, Transactions (BOGZ1FA313161763Q) from Q4 1946 to Q4 2024 about transactions, participation, credits, liabilities, federal, commodities, interest, and USA.

  4. Returns on commodities worldwide by type 2023

    • statista.com
    Updated Aug 8, 2024
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    Statista (2024). Returns on commodities worldwide by type 2023 [Dataset]. https://www.statista.com/statistics/825543/returns-on-selected-commodities-worldwide/
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2023, the rate of return on gold was 13.1 percent, making gold the leading commodity based on return rate in that year. Natural resources like any other investments exhibit a wide range of fluctuations over time.

  5. d

    Statistical data on annual transaction volume of goods - interest rates.

    • data.gov.tw
    csv
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    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C., Statistical data on annual transaction volume of goods - interest rates. [Dataset]. https://data.gov.tw/en/datasets/36473
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    csvAvailable download formats
    Dataset authored and provided by
    Securities and Futures Bureau, Financial Supervisory Commission, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Statistics on annual transaction volume of commodities - Interest rate type (futures exchange)

  6. g

    Macroeconomic Time Series for the United States, United Kingdom, Germany,...

    • search.gesis.org
    Updated Mar 26, 2007
    + more versions
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    National Bureau of Economic Research (2007). Macroeconomic Time Series for the United States, United Kingdom, Germany, and France - Version 2 [Dataset]. http://doi.org/10.3886/ICPSR07644.v2
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    Dataset updated
    Mar 26, 2007
    Dataset provided by
    GESIS search
    ICPSR - Interuniversity Consortium for Political and Social Research
    Authors
    National Bureau of Economic Research
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441876https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441876

    Area covered
    France, Germany, United States, United Kingdom
    Description

    Abstract (en): This collection contains an array of economic time series data pertaining to the United States, the United Kingdom, Germany, and France, primarily between the 1920s and the 1960s, and including some time series from the 18th and 19th centuries. These data were collected by the National Bureau of Economic Research (NBER), and they constitute a research resource of importance to economists as well as to political scientists, sociologists, and historians. Under a grant from the National Science Foundation, ICPSR and the National Bureau of Economic Research converted this collection (which existed heretofore only on handwritten sheets stored in New York) into fully accessible, readily usable, and completely documented machine-readable form. The NBER collection -- containing an estimated 1.6 million entries -- is divided into 16 major categories: (1) construction, (2) prices, (3) security markets, (4) foreign trade, (5) income and employment, (6) financial status of business, (7) volume of transactions, (8) government finance, (9) distribution of commodities, (10) savings and investments, (11) transportation and public utilities, (12) stocks of commodities, (13) interest rates, and (14) indices of leading, coincident, and lagging indicators, (15) money and banking, and (16) production of commodities. Data from all categories are available in Parts 1-22. The economic variables are usually observations on the entire nation or large subsets of the nation. Frequently, however, and especially in the United States, separate regional and metropolitan data are included in other variables. This makes cross-sectional analysis possible in many cases. The time span of variables in these files may be as short as one year or as long as 160 years. Most data pertain to the first half of the 20th century. Many series, however, extend into the 19th century, and a few reach into the 18th. The oldest series, covering brick production in England and Wales, begins in 1785, and the most recent United States data extend to 1968. The unit of analysis is an interval of time -- a year, a quarter, or a month. The bulk of observations are monthly, and most series of monthly data contain annual values or totals. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Time series of economic statistics pertaining to France, Germany, the United Kingdom, and the United States between 1785 and 1968. 2007-03-26 This study, updated from OSIRIS, now includes SAS, SPSS, and Stata setup files, SAS transport (XPORT) files, SPSS portable files, a Stata system files, and an updated codebook. Funding insitution(s): National Science Foundation. The data were collected between the 1920s and the 1970s, but it is unclear from the documentation as to the exact start and end dates.

  7. T

    CRB Commodity Index - Price Data

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Jul 15, 2008
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    CRB Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/crb
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jul 15, 2008
    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
    Jan 3, 1994 - Mar 26, 2025
    Area covered
    World
    Description

    CRB Index increased 16.18 points or 4.53% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on March of 2025.

  8. M

    1 Year LIBOR Rate - Historical Dataset

    • new.macrotrends.net
    • macrotrends.net
    csv
    Updated Mar 14, 2025
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    MACROTRENDS (2025). 1 Year LIBOR Rate - Historical Dataset [Dataset]. https://new.macrotrends.net/2515/1-year-libor-rate-historical-chart
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    csvAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    World
    Description

    Historical dataset of the 12 month LIBOR rate back to 1986. The London Interbank Offered Rate is the average interest rate at which leading banks borrow funds from other banks in the London market. LIBOR is the most widely used global "benchmark" or reference rate for short term interest rates.

  9. d

    Central Bank Survey of Foreign Exchange and Derivatives Market Activity

    • catalog-dev.data.gov
    • catalog.data.gov
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Central Bank Survey of Foreign Exchange and Derivatives Market Activity [Dataset]. https://catalog-dev.data.gov/dataset/central-bank-survey-of-foreign-exchange-and-derivatives-market-activity
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Board of Governors of the Federal Reserve System
    Description

    The FR 3036 survey consists of a Turnover section and a section on Derivatives Outstandings. The Turnover section requests information on the monthly volume of transactions (turnover) in the foreign exchange cash market, the foreign exchange derivatives market, and the interest rate derivatives markets. The Derivatives Outstandings section requests data on outstanding contracts in the derivatives markets for foreign exchange, interest rates, equities, and commodities.

  10. T

    Silver - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +18more
    csv, excel, json, xml
    Updated Feb 1, 2001
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    Silver - Price Data [Dataset]. https://tradingeconomics.com/commodity/silver
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Feb 1, 2001
    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
    Jan 2, 1975 - Mar 27, 2025
    Area covered
    World
    Description

    Silver increased 4.76 USD/t. oz or 16.49% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Silver - values, historical data, forecasts and news - updated on March of 2025.

  11. Gold Maintains Stability Despite U.S. Economic Concerns - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Mar 1, 2025
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    IndexBox Inc. (2025). Gold Maintains Stability Despite U.S. Economic Concerns - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/gold-holds-steady-amidst-us-economic-uncertainty/
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    doc, xls, docx, xlsx, pdfAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset provided by
    IndexBox
    Authors
    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 - Mar 11, 2025
    Area covered
    World, 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

    Explore the stability of gold prices amidst economic uncertainty in the U.S., despite slight dips and fluctuating market conditions.

  12. M

    3 Month LIBOR Rate - 30 Year Historical Chart

    • new.macrotrends.net
    csv
    Updated Mar 14, 2025
    + more versions
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    MACROTRENDS (2025). 3 Month LIBOR Rate - 30 Year Historical Chart [Dataset]. https://new.macrotrends.net/2520/3-month-libor-rate-historical-chart
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    csvAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    World
    Description

    Interactive chart of the daily 3 month LIBOR rate back to 1986. The London Interbank Offered Rate is the average interest rate at which leading banks borrow funds from other banks in the London market. LIBOR is the most widely used global "benchmark" or reference rate for short term interest rates.

  13. Agricultural commodity statistics 2016

    • data.gov.au
    pdf, xml
    Updated Aug 11, 2023
    + more versions
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    Australian Bureau of Agricultural and Resource Economics and Sciences (2023). Agricultural commodity statistics 2016 [Dataset]. https://www.data.gov.au/data/dataset/groups/pb_agcstd9abcc0022016_sn9dg
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    pdf, xmlAvailable download formats
    Dataset updated
    Aug 11, 2023
    Dataset provided by
    Australian Bureau of Agricultural and Resource Economicshttp://agriculture.gov.au/abares
    Authors
    Australian Bureau of Agricultural and Resource Economics and Sciences
    License

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

    Description

    This annual report is a compendium of historical statistics covering the agriculture, forestry and fisheries sectors.

    It provides a set of comprehensive statistical tables on Australian and world prices, production, consumption, stocks and trade for 19 rural commodities. The commodities covered include grains and oilseeds, livestock, livestock products, wool, horticulture, forestry products and fisheries products.

    The report also contains statistics on agricultural water use and macroeconomic indicators such as economic growth, employment, balance of trade, exchange rates and interest rates.

  14. Short-term interest rate estimates based on futures markets

    • zenodo.org
    • datadryad.org
    bin
    Updated Sep 13, 2023
    + more versions
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    Ziqian Wu; Ziqian Wu (2023). Short-term interest rate estimates based on futures markets [Dataset]. http://doi.org/10.5061/dryad.qbzkh18pw
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    binAvailable download formats
    Dataset updated
    Sep 13, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ziqian Wu; Ziqian Wu
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data is the month-end data of the time series from January 2009 to March 2023 for four commodities such as gold soybean crude oil and natural gas. These time series data can be used to estimate the market's short-term interest rate along with the Vasicek model and joint radiation term structure model.

  15. Agricultural commodity statistics 2016

    • demo.dev.magda.io
    pdf, xml
    Updated Nov 8, 2023
    + more versions
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    Australian Bureau of Agricultural and Resource Economics and Sciences (2023). Agricultural commodity statistics 2016 [Dataset]. https://demo.dev.magda.io/dataset/ds-dga-29888043-13c3-446f-af27-3f0b1faa80f9
    Explore at:
    pdf, xmlAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Australian Bureau of Agricultural and Resource Economicshttp://agriculture.gov.au/abares
    License

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

    Description

    This annual report is a compendium of historical statistics covering the agriculture, forestry and fisheries sectors. It provides a set of comprehensive statistical tables on Australian and world …Show full descriptionThis annual report is a compendium of historical statistics covering the agriculture, forestry and fisheries sectors. It provides a set of comprehensive statistical tables on Australian and world prices, production, consumption, stocks and trade for 19 rural commodities. The commodities covered include grains and oilseeds, livestock, livestock products, wool, horticulture, forestry products and fisheries products. The report also contains statistics on agricultural water use and macroeconomic indicators such as economic growth, employment, balance of trade, exchange rates and interest rates.

  16. M

    30 Year Fixed Mortgage Rate - 54 Years of Historical Data

    • macrotrends.net
    • new.macrotrends.net
    csv
    Updated Mar 25, 2025
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    MACROTRENDS (2025). 30 Year Fixed Mortgage Rate - 54 Years of Historical Data [Dataset]. https://www.macrotrends.net/2604/30-year-fixed-mortgage-rate-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    World
    Description

    Long term dataset showing the 30 year fixed rate mortgage average in the United States since 1971.

  17. b

    Intercontinental Exchange Overview

    • bullfincher.io
    Updated Nov 28, 2024
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    Bullfincher (2024). Intercontinental Exchange Overview [Dataset]. https://www.bullfincher.io/companies/intercontinental-exchange/overview
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    Dataset updated
    Nov 28, 2024
    Dataset authored and provided by
    Bullfincher
    License

    https://www.bullfincher.io/privacy-policyhttps://www.bullfincher.io/privacy-policy

    Description

    Intercontinental Exchange, Inc., together with its subsidiaries, operates regulated exchanges, clearing houses, and listings venues for commodity, financial, fixed income, and equity markets in the United States, the United Kingdom, the European Union, Singapore, Israel, and Canada. It operates through three segments: Exchanges, Fixed Income and Data Services, and Mortgage Technology. The company operates marketplaces for listing, trading, and clearing an array of derivatives contracts and financial securities, such as commodities, interest rates, foreign exchange, and equities, as well as corporate and exchange-traded funds; trading venues, including 13 regulated exchanges and 6 clearing houses; and offers futures and options products for energy, agricultural and metals, financial, cash equities and equity, over-the-counter, and other markets, as well as listings and data and connectivity services. It also provides fixed income data and analytic, fixed income execution, CDS clearing, and other multi-asset class data and network services. In addition, the company offers proprietary and comprehensive mortgage origination platform, which serves residential mortgage loans; closing solutions that provides customers connectivity to the mortgage supply chain and facilitates the secure exchange of information; data and analytics services; and Data as a Service for lenders to access data and origination information. Intercontinental Exchange, Inc. was founded in 2000 and is headquartered in Atlanta, Georgia.

  18. Derivatives trading volume distribution worldwide 2023, by asset class

    • statista.com
    Updated Dec 2, 2024
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    Statista (2024). Derivatives trading volume distribution worldwide 2023, by asset class [Dataset]. https://www.statista.com/statistics/1538346/derivatives-trading-volume-distribution-by-type/
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    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Between 2018 and 2023, there was a significant shift toward equity derivatives dominating the composition of exchange-traded derivative products worldwide, while commodities lost prominence. The share of equity derivatives grew from 51 percent in 2019 to 77 percent in 2023. Commodity derivatives, meanwhile, steadily declined from 21 percent to eight percent. ETFs, interest rates, and currencies maintained relatively stable proportions, each contributing between six percent and nine percent throughout the period considered.

  19. D

    ICE Futures Europe (Financials) Market Data

    • databento.com
    csv, dbn, json
    + more versions
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    Databento, ICE Futures Europe (Financials) Market Data [Dataset]. https://databento.com/datasets/IFLL.IMPACT
    Explore at:
    csv, dbn, jsonAvailable download formats
    Dataset authored and provided by
    Databento
    Time period covered
    Dec 10, 2024 - Present
    Area covered
    Europe
    Description

    ICE Futures Europe (Financials) provides market data for interest rates and financial products traded on ICE Futures Europe, including contracts such as Euribor, SONIA, Gilts, and Short Sterling. The ICE Futures Europe iMpact market data feed delivers comprehensive information for these financial instruments, including all listed outrights, spreads, options, and options combinations across all expiration months. This data feed complements the ICE Futures Europe commodities offering and provides traders with complete visibility into interest rates and financial products traded on the exchange.

    Asset class: Futures, Options

    Origin: Captured at Aurora DC3 with an FPGA-based network card and hardware timestamping. Synchronized to UTC with PTP

    Supported data encodings: DBN, CSV, JSON (Learn more)

    Supported market data schemas: MBO, MBP-1, MBP-10, TBBO, Trades, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, Definition, Statistics (Learn more)

    Resolution: Immediate publication, nanosecond-resolution timestamps

  20. Global Energy Trading And Risk Management ETRM Market Report 2025 Edition,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Aug 1, 2024
    + more versions
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    Cognitive Market Research (2024). Global Energy Trading And Risk Management ETRM Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/energy-trading-and-risk-management-etrm-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Aug 1, 2024
    Dataset provided by
    Decipher Market Research
    Authors
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the Global Energy Trading and Risk Management Market Size will be USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031.

    • The global energy trading and risk management (ETRM). market will expand significantly by XX% CAGR between 2024 and 2031. • The software type segment accounts for the largest market share and is anticipated to a healthy growth over the approaching years. • The United States energy trading and risk management (ETRM). had a market share of about XX% in 2022. • The physical trading sector holds the largest share and is expected to grow in the coming years as well. • Power application is the market's largest contributor and is anticipated to expand at a CAGR of XX% during the projected period. • The North America region dominated the market and accounted for the highest revenue of XX% in 2022 and it is projected that it will grow at a CAGR of XX% in the future.

    Market Dynamics: Energy Trading and Risk Management (ETRM)

    Key Drivers-

    Market volatility and uncertainty will drive the market for energy trading and risk management-
    

    Uncertainty has Various causes, including geopolitical events, supply-demand mismatches, weather patterns, and regulatory changes, these uncertainties in the market cause price fluctuation in the energy markets. For monitoring and reducing risks related to price swings and market uncertainty, ETRM systems are crucial. The rapid growth of commodities markets has drawn a wave of new entrants—such as tech-focused trading players, hedge funds, and banks, as well as players involved in mining and processing—creating a need for additional liquid and risk management offerings. Despite the decrease in market prices, commodity markets remain tight, and changes in demand and supply have become harder to predict. Further, uncertainty around the security of the energy supply contributes to price volatility, which is amplified by higher, shifting interest rates. For instance- Elections can also influence investor sentiment, impacting market dynamics. proposals related to fiscal discipline, trade agreements, or monetary policy can sway investor sentiment and drive market movements. Investors often closely monitor candidates' economic agendas and assess the potential implications for sectors and industries. (source:https://m.economictimes.com/markets/stocks/news/navigating-market-volatility-during-elections-insights-strategies-for-investors/articleshow/110384178.cms) Hence, ETRM systems are necessary to manage the complexities of multi-commodity trading, derivatives, complex contracts, and shifting market structures.

    Increasing Focus on Environmental Sustainability Initiatives drives the market of energy trading and risk management-
    

    The transition to environmental sustainability and decarbonization activities is driving substantial changes in the energy industry, increasing demand for energy trading and risk management (ETRM) solutions. With increasing concerns about climate change, air pollution, and resource scarcity comes an urgent need to transition from non-renewable energy sources to cleaner alternatives that reduce carbon emissions throughout the entire value chain. For instance- energy trading and risk management(ETRM) software helps energy companies optimize their trading strategies, allowing them to buy and sell energy more efficiently. By providing real-time data and analytics, it enables companies to make informed decisions, reduce waste, and maximize the use of renewable energy sources. (source:https://havokjournal.com/nation/science-technology/how-etrm-software-is-supporting-the-sustainable-energy-movement/) Hence, energy trading and risk management software is a powerful tool in advancing the sustainable energy movement, This will help energy companies optimize their operations and reduce reliance on fossil fuels.

    Restraint-

    Legacy systems and infrastructure will impede market expansion-
    

    Many industrial processes and critical infrastructure rely on outdated legacy OT systems that lack modern security features. The high replacement costs and perceived prohibitive nature of upgrading these systems contribute to their continue...

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MACROTRENDS (2025). Federal Funds Rate - 70 Years of Historical Data [Dataset]. https://www.macrotrends.net/2015/fed-funds-rate-historical-chart

Federal Funds Rate - 70 Years of Historical Data

Federal Funds Rate - 70 Years of Historical Data

Explore at:
59 scholarly articles cite this dataset (View in Google Scholar)
csvAvailable download formats
Dataset updated
Mar 25, 2025
Dataset authored and provided by
MACROTRENDS
License

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

Area covered
World
Description

Historical dataset of the daily level of the federal funds rate back to 1954. The fed funds rate is the interest rate at which depository institutions (banks and credit unions) lend reserve balances to other depository institutions overnight, on an uncollateralized basis. The Federal Open Market Committee (FOMC) meets eight times a year to determine the federal funds target rate.

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