100+ datasets found
  1. Annual development of the Bloomberg Barclays MSCI Global Green Bond Index...

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). Annual development of the Bloomberg Barclays MSCI Global Green Bond Index 2015-2023 [Dataset]. https://www.statista.com/statistics/1109189/bloomberg-barclays-msci-global-green-bond-index-development/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Green bond indices make it easier for investors to track the performance of green bonds and compare it with other investments. Bloomberg Barclays MSCI Global Green Bond Index was launched in 2014 with the aim provide a benchmark for the green bonds market. Between 2015 and 2020, the Bloomberg Barclays MSCI Global Green Bond Index saw an overall increase, reaching a value of 121.91 as of the end of 2020. By the end of 2022, however, the index value fell to 86.94, before increasing again to 96.09 by the end of 2023.

  2. Barclays (BCS) Navigating the Financial Landscape (Forecast)

    • kappasignal.com
    Updated Jul 27, 2024
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    KappaSignal (2024). Barclays (BCS) Navigating the Financial Landscape (Forecast) [Dataset]. https://www.kappasignal.com/2024/07/barclays-bcs-navigating-financial.html
    Explore at:
    Dataset updated
    Jul 27, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Barclays (BCS) Navigating the Financial Landscape

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  3. m

    SPDR Barclays Short Term Corporate Bond - Price Series

    • macro-rankings.com
    csv, excel
    Updated Dec 16, 2009
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    macro-rankings (2009). SPDR Barclays Short Term Corporate Bond - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/SPSB-US
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Dec 16, 2009
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    united states
    Description

    Index Time Series for SPDR Barclays Short Term Corporate Bond. The frequency of the observation is daily. Moving average series are also typically included. The fund generally invests substantially all, but at least 80%, of its total assets in the securities comprising the index and in securities that the Adviser determines have economic characteristics that are substantially identical to the economic characteristics of the securities that comprise the index. The index is designed to measure the performance of the short term U.S. corporate bond market.

  4. m

    SPDR Barclays Cap US Treasury Bond - Price Series

    • macro-rankings.com
    csv, excel
    Updated Jun 3, 2011
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    macro-rankings (2011). SPDR Barclays Cap US Treasury Bond - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/TSYE-PA
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Jun 3, 2011
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    france
    Description

    Index Time Series for SPDR Barclays Cap US Treasury Bond. The frequency of the observation is daily. Moving average series are also typically included. NA

  5. T

    Taiwan LF: Barclays Bank PLC: Equities

    • ceicdata.com
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    CEICdata.com, Taiwan LF: Barclays Bank PLC: Equities [Dataset]. https://www.ceicdata.com/en/taiwan/condensed-financial-structure-local-branches-of-foreign-banks/lf-barclays-bank-plc-equities
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Aug 1, 2016 - Jul 1, 2017
    Area covered
    Taiwan
    Variables measured
    Performance Indicators
    Description

    Taiwan LF: Barclays Bank PLC: Equities data was reported at 239.000 NTD mn in Jul 2017. This records a decrease from the previous number of 249.000 NTD mn for Jun 2017. Taiwan LF: Barclays Bank PLC: Equities data is updated monthly, averaging 529.000 NTD mn from Jul 2005 (Median) to Jul 2017, with 145 observations. The data reached an all-time high of 1,051.000 NTD mn in Jul 2012 and a record low of 124.000 NTD mn in Jul 2005. Taiwan LF: Barclays Bank PLC: Equities data remains active status in CEIC and is reported by Banking Bureau, Financial Supervisory Commission. The data is categorized under Global Database’s Taiwan – Table TW.KB033: Condensed Financial Structure: Local Branches of Foreign Banks.

  6. F

    ICE BofA US Corporate Index Option-Adjusted Spread

    • fred.stlouisfed.org
    json
    Updated Aug 12, 2025
    + more versions
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    (2025). ICE BofA US Corporate Index Option-Adjusted Spread [Dataset]. https://fred.stlouisfed.org/series/BAMLC0A0CM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 12, 2025
    License

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

    Description

    Graph and download economic data for ICE BofA US Corporate Index Option-Adjusted Spread (BAMLC0A0CM) from 1996-12-31 to 2025-08-11 about option-adjusted spread, corporate, and USA.

  7. m

    GraniteShares 3x Long Barclays Daily ETC - Price Series

    • macro-rankings.com
    csv, excel
    Updated Nov 4, 2019
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    macro-rankings (2019). GraniteShares 3x Long Barclays Daily ETC - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs?Entity=3LBC.LSE
    Explore at:
    excel, csvAvailable download formats
    Dataset updated
    Nov 4, 2019
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    uk
    Description

    Index Time Series for GraniteShares 3x Long Barclays Daily ETC. The frequency of the observation is daily. Moving average series are also typically included.

  8. Bitcoin's Barclays Adventure (Forecast)

    • kappasignal.com
    Updated Apr 16, 2024
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    KappaSignal (2024). Bitcoin's Barclays Adventure (Forecast) [Dataset]. https://www.kappasignal.com/2024/04/bitcoins-barclays-adventure.html
    Explore at:
    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Bitcoin's Barclays Adventure

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  9. m

    Ossiam Shiller Barclays Cape® US Sector Value TR 1C (EUR) - Price Series

    • macro-rankings.com
    csv, excel
    Updated Jun 22, 2015
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    macro-rankings (2015). Ossiam Shiller Barclays Cape® US Sector Value TR 1C (EUR) - Price Series [Dataset]. https://www.macro-rankings.com/Markets/ETFs/USCP-XETRA
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Jun 22, 2015
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    germany
    Description

    Index Time Series for Ossiam Shiller Barclays Cape® US Sector Value TR 1C (EUR). The frequency of the observation is daily. Moving average series are also typically included. NA

  10. F

    ICE BofA US High Yield Index Effective Yield

    • fred.stlouisfed.org
    json
    Updated Aug 5, 2025
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    (2025). ICE BofA US High Yield Index Effective Yield [Dataset]. https://fred.stlouisfed.org/series/BAMLH0A0HYM2EY
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 5, 2025
    License

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

    Area covered
    United States
    Description

    View data of the effective yield of an index of non-investment grade publically issued corporate debt in the U.S.

  11. I

    India Barclays Bank: Return on Investments

    • ceicdata.com
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    CEICdata.com, India Barclays Bank: Return on Investments [Dataset]. https://www.ceicdata.com/en/india/foreign-banks-selected-financial-ratios-barclays-bank/barclays-bank-return-on-investments
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2007 - Mar 1, 2018
    Area covered
    India
    Variables measured
    Performance Indicators
    Description

    India Barclays Bank: Return on Investments data was reported at 5.610 % in 2018. This records a decrease from the previous number of 5.930 % for 2017. India Barclays Bank: Return on Investments data is updated yearly, averaging 6.850 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 14.900 % in 1999 and a record low of 4.520 % in 2010. India Barclays Bank: Return on Investments data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR013: Foreign Banks: Selected Financial Ratios: Barclays Bank.

  12. Largest companies on FTSE 100 index 2024, by market cap

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Largest companies on FTSE 100 index 2024, by market cap [Dataset]. https://www.statista.com/statistics/1405426/largest-companies-on-ftse-100-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 12, 2024
    Area covered
    United Kingdom
    Description

    Astrazeneca was the leading pharmaceutical company in the United Kingdom as of March 7, 2024, with a market capitalization amounting to approximately ***** billion U.S. dollars. GlaxoSmithKline followed as the second largest pharma company in the country, with market capitalization of nearly **** billion U.S. dollars. Examining the development of the FTSE 100 Index, which was launched in January 1984 with a base level of 1,000, increased by more than sevenfold to date. What is the FTSE 100 index? The Financial Times Stock Exchange 100 Index, commonly known as the "Footsie", is the most widely recognized stock market index in the United Kingdom. It is made up of the 100 largest blue-chip companies on the London Stock Exchange. Companies from various sectors, such as healthcare, consumer goods, and energy, are included in the index, as are leading banks of the United Kingdom, such as HSBC, Lloyds Banking Group, and Barclays. Moreover, it can be seen as a reflection of the investment climate in the United Kingdom. What is not included in the FTSE 100 Index? Most notably, the FTSE 100 Index, like most indices, is not adjusted for inflation. While inflation in the United Kingdom has gone down dramatically since 2023, it might be useful to adjust the historic figures on the index when comparing historic data to current levels. This is especially important when the index seems to have increased by a few percentage points because inflation may have increased at a faster rate than stock prices.

  13. F

    ICE BofA CCC & Lower US High Yield Index Effective Yield

    • fred.stlouisfed.org
    json
    Updated Aug 13, 2025
    + more versions
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    (2025). ICE BofA CCC & Lower US High Yield Index Effective Yield [Dataset]. https://fred.stlouisfed.org/series/BAMLH0A3HYCEY
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 13, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for ICE BofA CCC & Lower US High Yield Index Effective Yield (BAMLH0A3HYCEY) from 1996-12-31 to 2025-08-12 about CCC, yield, interest rate, interest, rate, and USA.

  14. F

    ICE BofA BBB US Corporate Index Effective Yield

    • fred.stlouisfed.org
    json
    Updated Aug 12, 2025
    + more versions
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    (2025). ICE BofA BBB US Corporate Index Effective Yield [Dataset]. https://fred.stlouisfed.org/series/BAMLC0A4CBBBEY
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 12, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for ICE BofA BBB US Corporate Index Effective Yield (BAMLC0A4CBBBEY) from 1996-12-31 to 2025-08-11 about BBB, corporate, yield, interest rate, interest, rate, and USA.

  15. D

    UK - Bank and ATM locations

    • dtechtive.com
    • find.data.gov.scot
    csv
    Updated Mar 14, 2018
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    Deloitte Datathon 2018 (uSmart) (2018). UK - Bank and ATM locations [Dataset]. https://dtechtive.com/datasets/39181
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    csv(0.0558 MB), csv(0.0861 MB), csv(0.1706 MB)Available download formats
    Dataset updated
    Mar 14, 2018
    Dataset provided by
    Deloitte Datathon 2018 (uSmart)
    Area covered
    United Kingdom
    Description

    Open Banking Data - Bank and ATM locations Four csv files containing geolocations for Barclays' and HSBC's ATMs and branches in the UK. Their Open Banking API documentation is available in the following links: https://developer.hsbc.com/index.html https://developer.barclays.com/catalogue/api

  16. Starbucks Stock Analysis: Market Performance and Future Prospects - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Aug 1, 2025
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    IndexBox Inc. (2025). Starbucks Stock Analysis: Market Performance and Future Prospects - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/starbucks-corporation-navigating-market-challenges-and-opportunities/
    Explore at:
    doc, xlsx, xls, docx, pdfAvailable download formats
    Dataset updated
    Aug 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 - Aug 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

    Discover how Starbucks navigates market challenges with a $105.6 billion market cap, despite recent stock performance and EPS concerns.

  17. k

    S&P Bitcoin Index Forecast Data

    • kappasignal.com
    csv, json
    Updated Apr 16, 2024
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    AC Investment Research (2024). S&P Bitcoin Index Forecast Data [Dataset]. https://www.kappasignal.com/2024/04/bitcoins-barclays-adventure.html
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    AC Investment Research
    License

    https://www.ademcetinkaya.com/p/legal-disclaimer.htmlhttps://www.ademcetinkaya.com/p/legal-disclaimer.html

    Description

    The S&P Bitcoin index is anticipated to rise with moderate risk. Potential indicators include increased investor confidence, a favorable regulatory environment, and a positive correlation with traditional financial markets. However, risks associated with the index include volatility, exchange security issues, and regulatory uncertainties, which could impact its performance and value.

  18. I

    India Barclays Bank: Return on Equity

    • ceicdata.com
    Updated Nov 15, 2019
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    CEICdata.com (2019). India Barclays Bank: Return on Equity [Dataset]. https://www.ceicdata.com/en/india/foreign-banks-selected-financial-ratios-barclays-bank/barclays-bank-return-on-equity
    Explore at:
    Dataset updated
    Nov 15, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2007 - Mar 1, 2018
    Area covered
    India
    Variables measured
    Performance Indicators
    Description

    India Barclays Bank: Return on Equity data was reported at 4.690 % in 2018. This records a decrease from the previous number of 8.180 % for 2017. India Barclays Bank: Return on Equity data is updated yearly, averaging 6.770 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 19.430 % in 2004 and a record low of -14.480 % in 2000. India Barclays Bank: Return on Equity data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR013: Foreign Banks: Selected Financial Ratios: Barclays Bank.

  19. I

    India Barclays Bank: Inv: In India

    • ceicdata.com
    + more versions
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    CEICdata.com, India Barclays Bank: Inv: In India [Dataset]. https://www.ceicdata.com/en/india/foreign-banks-assets-and-liabilities-barclays-bank/barclays-bank-inv-in-india
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2007 - Mar 1, 2018
    Area covered
    India
    Variables measured
    Balance Sheets
    Description

    Barclays Bank: Inv: In India data was reported at 103,810.021 INR mn in 2018. This records an increase from the previous number of 79,282.955 INR mn for 2017. Barclays Bank: Inv: In India data is updated yearly, averaging 4,653.800 INR mn from Mar 1991 (Median) to 2018, with 28 observations. The data reached an all-time high of 141,154.207 INR mn in 2014 and a record low of 42.900 INR mn in 1991. Barclays Bank: Inv: In India data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.KBP012: Foreign Banks: Assets and Liabilities: Barclays Bank.

  20. I

    India Barclays Bank: Financial Ratio: Investment-Deposit

    • ceicdata.com
    Updated Jan 15, 2025
    + more versions
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    CEICdata.com (2025). India Barclays Bank: Financial Ratio: Investment-Deposit [Dataset]. https://www.ceicdata.com/en/india/foreign-banks-selected-financial-ratios-barclays-bank/barclays-bank-financial-ratio-investmentdeposit
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2007 - Mar 1, 2018
    Area covered
    India
    Variables measured
    Performance Indicators
    Description

    India Barclays Bank: Financial Ratio: Investment-Deposit data was reported at 123.790 % in 2018. This records an increase from the previous number of 75.280 % for 2017. India Barclays Bank: Financial Ratio: Investment-Deposit data is updated yearly, averaging 149.070 % from Mar 1999 (Median) to 2018, with 20 observations. The data reached an all-time high of 559.230 % in 2005 and a record low of 41.390 % in 2008. India Barclays Bank: Financial Ratio: Investment-Deposit data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBR013: Foreign Banks: Selected Financial Ratios: Barclays Bank.

Share
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Click to copy link
Link copied
Close
Cite
Statista (2024). Annual development of the Bloomberg Barclays MSCI Global Green Bond Index 2015-2023 [Dataset]. https://www.statista.com/statistics/1109189/bloomberg-barclays-msci-global-green-bond-index-development/
Organization logo

Annual development of the Bloomberg Barclays MSCI Global Green Bond Index 2015-2023

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 21, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Green bond indices make it easier for investors to track the performance of green bonds and compare it with other investments. Bloomberg Barclays MSCI Global Green Bond Index was launched in 2014 with the aim provide a benchmark for the green bonds market. Between 2015 and 2020, the Bloomberg Barclays MSCI Global Green Bond Index saw an overall increase, reaching a value of 121.91 as of the end of 2020. By the end of 2022, however, the index value fell to 86.94, before increasing again to 96.09 by the end of 2023.

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