11 datasets found
  1. F

    S&P 500

    • fred.stlouisfed.org
    • you.radio.fm
    json
    Updated Mar 26, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  2. 4

    Data underlying the publication: The impact of the Hamas-Israel conflict on...

    • data.4tu.nl
    zip
    Updated Nov 28, 2024
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    Jeroen Klomp (2024). Data underlying the publication: The impact of the Hamas-Israel conflict on the U.S. defense industry stock market return [Dataset]. http://doi.org/10.4121/d8deb768-0d23-4330-adf9-3506b641088e.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 28, 2024
    Dataset provided by
    4TU.ResearchData
    Authors
    Jeroen Klomp
    License

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

    Time period covered
    2023 - 2024
    Area covered
    United States
    Description

    This dataset facilitates an analysis of the impact of the recent Israel-Hamas conflict on the stock market performance of U.S. defense companies, as measured by the returns of defense-sector Exchange-Traded Funds (ETFs). The conflict is quantified using variables such as a binary "attack" indicator, casualty counts, and the intensity of Google search activity related to the war. Additionally, the dataset incorporates a comprehensive set of control variables, including interest rates, exchange rates, oil prices, inflation rates, and factors related to the Ukraine conflict, ensuring a robust framework for evaluating the effects of this geopolitical event.

  3. m

    Data from: Liquidity, time-varying betas and anomalies. Is the high trading...

    • data.mendeley.com
    • explore.openaire.eu
    Updated Nov 19, 2019
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    Paper authors Paper authors (2019). Liquidity, time-varying betas and anomalies. Is the high trading activity enhancing the validity of the CAPM in the UK equity market? [Dataset]. http://doi.org/10.17632/56n2yxgpcf.1
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    Dataset updated
    Nov 19, 2019
    Authors
    Paper authors Paper authors
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Using all stocks listed in the London Stock Exchange for the period from January 1989 to December 2018, the dataset comprises the following series:

    1. Annual returns for 20 asset growth portfolios, following Fama and French (1993) methodology.
    2. Annual returns for 25 portfolios size-book to market equity, following Fama and French (1993) methodology.
    3. Annual returns for 62 industry portfolios, using two-digit SIC codes.
    4. Fama and French (1993) factors for their three-factor model (RM, SMB and HML).
    5. Fama and French (2015) factors for their five-factor model (RM, SMB, HML, RMW, and CMA).
    6. Variation of the Amihid illiquidy measure for the London Stock Exchange, following Amihud (2002) methodology.
    7. Three-month interest rate of the Treasury Bill for the United Kingdom, as provided by the OECD database.

    We have produced these series using the following data from Thomson Reuters Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) tax rate (WC08346 series), (vii) primary SIC codes, (viii) turnover by volume (VO series), and (ix) the market price (P series). Following Griffin et al. (2010), we use the generic rules provided by the authors for excluding non-common equity securities from Datastream data.

    REFERENCES: Amihud, Y. (2002). Illiquidity and stock returns: Cross-section and time-series effects. Journal of Financial Markets, 5, 31–56. Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.

  4. Bank of Canada, money market and other interest rates

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Mar 26, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Bank of Canada, money market and other interest rates [Dataset]. http://doi.org/10.25318/1010013901-eng
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    This table contains 39 series, with data for starting from 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada); Financial market statistics (39 items: Government of Canada Treasury Bills, 1-month (composite rates); Government of Canada Treasury Bills, 2-month (composite rates); Government of Canada Treasury Bills, 3-month (composite rates);Government of Canada Treasury Bills, 6-month (composite rates); ...).

  5. d

    Data from: Causal coupling between European and UK markets triggered by...

    • datadryad.org
    zip
    Updated Sep 9, 2021
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    Tomaso Aste (2021). Causal coupling between European and UK markets triggered by announcements of monetary policy decisions [Dataset]. http://doi.org/10.5061/dryad.g4f4qrfr2
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 9, 2021
    Dataset provided by
    Dryad
    Authors
    Tomaso Aste
    Time period covered
    2021
    Area covered
    United Kingdom
    Description

    We investigate high-frequency reactions in the Eurozone stock market and the UK stock market during the time period surrounding the European Central Bank (ECB) and the Bank of England (BoE)'s interest rate decisions assessing how these two markets react and co-move influencing each other.

    The effects are quantified by measuring linear and non-linear transfer entropy combined with a Bivariate Empirical Mode Decomposition (BEMD) from a dataset of 1-minute prices for the Euro Stoxx 50 and the FTSE 100 stock indices.

    We uncover that central banks' interest rate decisions induce an upsurge in intraday volatility that is more pronounced on ECB announcement days and there is a significant information flow between the markets with prevalent direction going from the market where the announcement is made towards the other.

  6. c

    Survey of Consumer Finances, 1968

    • archive.ciser.cornell.edu
    Updated Jan 27, 2020
    + more versions
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    Economic Behavior Program (2020). Survey of Consumer Finances, 1968 [Dataset]. http://doi.org/10.6077/1eee-qm49
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    Dataset updated
    Jan 27, 2020
    Dataset authored and provided by
    Economic Behavior Program
    Variables measured
    Family, Other
    Description

    This data collection is one in a series of financial surveys of consumers conducted annually since 1946. In a nationally representative sample, the head of each family unit was interviewed. Starting in 1966, in order to examine the effect that increased car ownership was having on American families, the data collected in this series were organized so that they could be analyzed by both family unit and car unit. The 1968 data are based on car unit. Survey questions regarding automobiles included number of drivers and car owners in the family, make and model of each car, purchase method, car financing and installment debt, and expectations of car purchases in the coming year. Other questions in the 1968 survey covered the respondent's attitudes toward national economic conditions (e.g., the effect of income tax, interest rates, the stock market, Vietnam War involvement, and relations with other communist countries on United States business) and price activity, as well as the respondent's own financial situation. Other questions examined the family unit head's occupation, and the nature and amount of the family's income, debts, liquid assets, changes in liquid assets, savings, investment preferences, and actual and expected purchases of major durables. In addition, the survey explored in detail the subject of housing, e.g., previous and present home ownership, value of respondent's dwelling, and mortgage information. Personal data include age and education of head, household composition, and occupation. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07448.v3. We highly recommend using the ICPSR version as have made this dataset available in multiple data formats.

  7. Bitcoin Price History - Dataset, Chart, 5 Years, 10 Years, by Month, Halving...

    • moneymetals.com
    csv, json, xls, xml
    Updated Sep 12, 2024
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    Money Metals Exchange (2024). Bitcoin Price History - Dataset, Chart, 5 Years, 10 Years, by Month, Halving [Dataset]. https://www.moneymetals.com/bitcoin-price
    Explore at:
    json, xml, csv, xlsAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset provided by
    Money Metals
    Authors
    Money Metals Exchange
    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, 2009 - Sep 12, 2023
    Area covered
    World
    Measurement technique
    Tracking market benchmarks and trends
    Description

    In March 2024 Bitcoin BTC reached a new all-time high with prices exceeding 73000 USD marking a milestone for the cryptocurrency market This surge was due to the approval of Bitcoin exchange-traded funds ETFs in the United States allowing investors to access Bitcoin without directly holding it This development increased Bitcoin’s credibility and brought fresh demand from institutional investors echoing previous price surges in 2021 when Tesla announced its 15 billion investment in Bitcoin and Coinbase was listed on the Nasdaq By the end of 2022 Bitcoin prices dropped sharply to 15000 USD following the collapse of cryptocurrency exchange FTX and its bankruptcy which caused a loss of confidence in the market By August 2024 Bitcoin rebounded to approximately 64178 USD but remained volatile due to inflation and interest rate hikes Unlike fiat currency like the US dollar Bitcoin’s supply is finite with 21 million coins as its maximum supply By September 2024 over 92 percent of Bitcoin had been mined Bitcoin’s value is tied to its scarcity and its mining process is regulated through halving events which cut the reward for mining every four years making it harder and more energy-intensive to mine The next halving event in 2024 will reduce the reward to 3125 BTC from its current 625 BTC The final Bitcoin is expected to be mined around 2140 The energy required to mine Bitcoin has led to criticisms about its environmental impact with estimates in 2021 suggesting that one Bitcoin transaction used as much energy as Argentina Bitcoin’s future price is difficult to predict due to the influence of large holders known as whales who own about 92 percent of all Bitcoin These whales can cause dramatic market swings by making large trades and many retail investors still dominate the market While institutional interest has grown it remains a small fraction compared to retail Bitcoin is vulnerable to external factors like regulatory changes and economic crises leading some to believe it is in a speculative bubble However others argue that Bitcoin is still in its early stages of adoption and will grow further as more institutions and governments recognize its potential as a hedge against inflation and a store of value 2024 has also seen the rise of Bitcoin Layer 2 technologies like the Lightning Network which improve scalability by enabling faster and cheaper transactions These innovations are crucial for Bitcoin’s wider adoption especially for day-to-day use and cross-border remittances At the same time central bank digital currencies CBDCs are gaining traction as several governments including China and the European Union have accelerated the development of their own state-controlled digital currencies while Bitcoin remains decentralized offering financial sovereignty for those who prefer independence from government control The rise of CBDCs is expected to increase interest in Bitcoin as a hedge against these centralized currencies Bitcoin’s journey in 2024 highlights its growing institutional acceptance alongside its inherent market volatility While the approval of Bitcoin ETFs has significantly boosted interest the market remains sensitive to events like exchange collapses and regulatory decisions With the limited supply of Bitcoin and improvements in its transaction efficiency it is expected to remain a key player in the financial world for years to come Whether Bitcoin is currently in a speculative bubble or on a sustainable path to greater adoption will ultimately be revealed over time.

  8. 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
    Explore at:
    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.

  9. T

    Nigeria Interest Rate

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Nov 26, 2024
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    TRADING ECONOMICS (2024). Nigeria Interest Rate [Dataset]. https://tradingeconomics.com/nigeria/interest-rate
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Nov 26, 2024
    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 31, 2007 - Feb 20, 2025
    Area covered
    Nigeria
    Description

    The benchmark interest rate in Nigeria was last recorded at 27.50 percent. This dataset provides - Nigeria Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. T

    Philippines Stock Market (PSEi) Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Feb 15, 2025
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    TRADING ECONOMICS (2025). Philippines Stock Market (PSEi) Data [Dataset]. https://tradingeconomics.com/philippines/stock-market
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Feb 15, 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 2, 1987 - Mar 26, 2025
    Area covered
    Philippines
    Description

    The main stock market index in Philippines (PSEi) decreased 363 points or 5.56% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Philippines. Philippines Stock Market (PSEi) - values, historical data, forecasts and news - updated on March of 2025.

  11. T

    Malaysia Stock Market (FBM KLCI) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Apr 13, 2020
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    Malaysia Stock Market (FBM KLCI) Data [Dataset]. https://tradingeconomics.com/malaysia/stock-market
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Apr 13, 2020
    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 4, 1982 - Mar 27, 2025
    Area covered
    Malaysia
    Description

    The main stock market index in Malaysia (FKLCI) decreased 107 points or 6.49% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Malaysia. Malaysia Stock Market (FBM KLCI) - values, historical data, forecasts and news - updated on March of 2025.

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(2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500

S&P 500

SP500

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87 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Mar 26, 2025
License

https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

Description

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

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