100+ datasets found
  1. C

    China CN: WMWMP: Average Performance Benchmark: New Issuance Open-end:...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: WMWMP: Average Performance Benchmark: New Issuance Open-end: Equity Product [Dataset]. https://www.ceicdata.com/en/china/puyi-standard-average-performance-benchmark-new-issuance-whole-market-wealth-management-product/cn-wmwmp-average-performance-benchmark-new-issuance-openend-equity-product
    Explore at:
    Dataset updated
    Feb 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
    Sep 1, 2022
    Area covered
    China
    Description

    China WMWMP: Average Performance Benchmark: New Issuance Open-end: Equity Product data was reported at 6.330 % in Sep 2022. China WMWMP: Average Performance Benchmark: New Issuance Open-end: Equity Product data is updated monthly, averaging 6.330 % from Sep 2022 (Median) to Sep 2022, with 1 observations. The data reached an all-time high of 6.330 % in Sep 2022 and a record low of 6.330 % in Sep 2022. China WMWMP: Average Performance Benchmark: New Issuance Open-end: Equity Product data remains active status in CEIC and is reported by Puyi Standard. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Puyi Standard: Average Performance Benchmark: New Issuance: Whole Market Wealth Management Product.

  2. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +11more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 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 3, 1928 - Jul 1, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6211 points on July 1, 2025, gaining 0.10% from the previous session. Over the past month, the index has climbed 4.64% and is up 12.75% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  3. D

    Denmark Banks: Return on Equity After Tax

    • ceicdata.com
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    CEICdata.com, Denmark Banks: Return on Equity After Tax [Dataset]. https://www.ceicdata.com/en/denmark/banking-sector-performance-indicators/banks-return-on-equity-after-tax
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    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
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Denmark
    Variables measured
    Performance Indicators
    Description

    Denmark Banks: Return on Equity After Tax data was reported at 12.160 % in 2023. This records an increase from the previous number of 2.690 % for 2022. Denmark Banks: Return on Equity After Tax data is updated yearly, averaging 4.875 % from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 14.140 % in 2007 and a record low of -6.530 % in 2009. Denmark Banks: Return on Equity After Tax data remains active status in CEIC and is reported by Danish Financial Supervisory Authority. The data is categorized under Global Database’s Denmark – Table DK.KB007: Banking Sector: Performance Indicators.

  4. s

    ESG in the 2022 Top 100 US Private Equity Firms

    • swissubase.ch
    Updated Nov 21, 2023
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    (2023). ESG in the 2022 Top 100 US Private Equity Firms [Dataset]. http://doi.org/10.48573/5fpg-8790
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    Dataset updated
    Nov 21, 2023
    Description

    The ESG in the Top 100 US Private Equity Firms for the year 2022 dataset provides insights into the ESG practices and characteristics of the top 100 US PE firms for 2022, analyzed at the firm level.

    The dataset is divided into two main categories. The first involves content analysis, where data from the corporate websites of leading US Private Equity Firms were combined to gather ESG-related information through manual analysis of 100 firms. Selection of the first 100 PE firms was based on the 2022 ranking from "Private Equity International," a global insights and data provider for the Private Equity industry. The study exclusively focuses on private equity firms with private equity as their primary investment strategy. The sample of 100 firms is constructed by substituting eliminated entities with subsequent ones from the 2022 Private Equity International rankings, concluding at the 116th ranked Private Equity Firm. The analysis remains flexible, encompassing terms such as 'CSR,' 'Responsible investing,' or 'Impact investing' as part of the exploration of the broad concept of ESG. ESG information from firm websites was categorized into Environmental (E), Social (S), Governance (G), and "Other" (covering factors outside these labels). Each primary category was further divided into two sub-categories: the first contributing to an E, S, G, or "Other" score, and the second encompassing ESG frameworks, signatories, certifications, or sponsorship.

    The second part of the dataset is extracted from "Preqin," the leading dataset provider for the Private Equity industry. Variables were extracted from a large Preqin database, and only observations matching the initial 100 PE firms were retained. The data extracted pertained to performance (IRR) and characteristics such as firm size, investment strategy, total number of funds, average vintage, and total funds raised in the last 10 years. Occasional missing data were manually collected from Bloomberg, and observations with additional data collection were flagged in analyses to ensure methodological consistency.

    The primary objective was to create an ESG score for assessing the ESG performance of a Private Equity Firm. The ESG-Score was determined by summing up individual scores for each ESG category: E-Score (Environmental), S-Score (Social), G-Score (Governance), and Other-Score. The Other-Score is an element in a company's ESG assessment that encompasses miscellaneous factors not precisely classified as environmental, social, or governance. Alongside the ESG score, an investigation was conducted to determine if Private Equity Firms had explicitly pledged to ESG frameworks. These analyses assessed whether the firms adhere to ESG frameworks, actively participate in ESG initiatives, possess ESG certifications, and are involved in ESG sponsorships.

  5. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jun 30, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 30, 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.

  6. T

    Metro Performance Glass | MPG - Employees Total Number

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, Metro Performance Glass | MPG - Employees Total Number [Dataset]. https://tradingeconomics.com/mpg:nz:employees
    Explore at:
    excel, json, xml, csvAvailable 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
    Jan 1, 2000 - Jul 1, 2025
    Area covered
    New Zealand
    Description

    Metro Performance Glass reported 1.11K in Employees for its fiscal year ending in March of 2022. Data for Metro Performance Glass | MPG - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  7. China CN: WMCP: Average Performance Benchmark: On Sale Close-end: Equity...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: WMCP: Average Performance Benchmark: On Sale Close-end: Equity Product [Dataset]. https://www.ceicdata.com/en/china/puyi-standard-average-performance-benchmark-on-sale-wealth-management-company-product/cn-wmcp-average-performance-benchmark-on-sale-closeend-equity-product
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2023 - Jan 1, 2025
    Area covered
    China
    Description

    China WMCP: Average Performance Benchmark: On Sale Close-end: Equity Product data was reported at 3.840 % in Mar 2025. This records a decrease from the previous number of 4.300 % for Jan 2025. China WMCP: Average Performance Benchmark: On Sale Close-end: Equity Product data is updated monthly, averaging 4.400 % from Aug 2022 (Median) to Mar 2025, with 27 observations. The data reached an all-time high of 6.030 % in Nov 2022 and a record low of 3.630 % in Aug 2024. China WMCP: Average Performance Benchmark: On Sale Close-end: Equity Product data remains active status in CEIC and is reported by Puyi Standard. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Puyi Standard: Average Performance Benchmark: On Sale: Wealth Management Company Product.

  8. M

    S&P 500 - 100 Year Historical Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). S&P 500 - 100 Year Historical Chart [Dataset]. https://www.macrotrends.net/2324/sp-500-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart of the S&P 500 stock market index since 1927. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

  9. T

    Metro Performance Glass | MPG - Dividend Yield

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 15, 2022
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    TRADING ECONOMICS (2022). Metro Performance Glass | MPG - Dividend Yield [Dataset]. https://tradingeconomics.com/mpg:nz:dy
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Nov 15, 2022
    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 1, 2000 - Jun 30, 2025
    Area covered
    New Zealand
    Description

    Metro Performance Glass reported 0 in Dividend Yield for its fiscal semester ending in November of 2022. Data for Metro Performance Glass | MPG - Dividend Yield including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  10. Daily S&P 500 index performance 2024

    • statista.com
    Updated Jun 25, 2025
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    Statista (2020). Daily S&P 500 index performance 2024 [Dataset]. https://www.statista.com/statistics/1332260/daily-sandp-500-index-performance/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 3, 2022 - Oct 16, 2024
    Area covered
    United States
    Description

    The S&P 500 index dropped significantly between January 3 and September 9, 2022. As of January 3, the index stood at ******** points, and it dropped approximately 15 percent by September 2022. In February 2024, the daily value of the S&P 500 increased over ***** points and reached ******** as of October 16 of the same year.

  11. China CN: WMWMP: Average Performance Benchmark: On Sale Open-end: Equity...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: WMWMP: Average Performance Benchmark: On Sale Open-end: Equity Product [Dataset]. https://www.ceicdata.com/en/china/puyi-standard-average-performance-benchmark-on-sale-whole-market-wealth-management-product/cn-wmwmp-average-performance-benchmark-on-sale-openend-equity-product
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    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, 2024 - Feb 1, 2025
    Area covered
    China
    Description

    China WMWMP: Average Performance Benchmark: On Sale Open-end: Equity Product data was reported at 2.500 % in Feb 2025. This stayed constant from the previous number of 2.500 % for Jan 2025. China WMWMP: Average Performance Benchmark: On Sale Open-end: Equity Product data is updated monthly, averaging 5.240 % from Aug 2022 (Median) to Feb 2025, with 31 observations. The data reached an all-time high of 6.000 % in Jun 2024 and a record low of 2.500 % in Feb 2025. China WMWMP: Average Performance Benchmark: On Sale Open-end: Equity Product data remains active status in CEIC and is reported by Puyi Standard. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Puyi Standard: Average Performance Benchmark: On Sale: Whole Market Wealth Management Product.

  12. T

    Metro Performance Glass | MPG - Ebit

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2022
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    TRADING ECONOMICS (2022). Metro Performance Glass | MPG - Ebit [Dataset]. https://tradingeconomics.com/mpg:nz:ebit
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jun 15, 2022
    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 1, 2000 - Jun 30, 2025
    Area covered
    New Zealand
    Description

    Metro Performance Glass reported NZD5.62M in EBIT for its fiscal semester ending in June of 2022. Data for Metro Performance Glass | MPG - Ebit including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  13. d

    2.25 Employee Work Related Needs (dashboard)

    • catalog.data.gov
    • datasets.ai
    Updated Dec 22, 2023
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    City of Tempe (2023). 2.25 Employee Work Related Needs (dashboard) [Dataset]. https://catalog.data.gov/dataset/2-25-employee-work-related-needs-dashboard-aa942
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    Dataset updated
    Dec 22, 2023
    Dataset provided by
    City of Tempe
    Description

    This operations dashboard shows historic and current data related to this performance measure.Please note that in 2022, due to strategic transformational changes, the Strategic Management and Diversity Office was reorganized into the Strategic Management and Innovation Office and the Office of Diversity, Equity and Inclusion.The performance measure dashboard is available at 2.25 Employee Work Related Needs. Data Dictionary

  14. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Mar 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ********* at the end of March 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

  15. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    • ai-chatbox.pro
    Updated Mar 20, 2023
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    Statista (2023). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
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    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  16. China CN: WMWMP: Average Performance Benchmark: On Sale Close-end: Equity...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: WMWMP: Average Performance Benchmark: On Sale Close-end: Equity Product [Dataset]. https://www.ceicdata.com/en/china/puyi-standard-average-performance-benchmark-on-sale-whole-market-wealth-management-product/cn-wmwmp-average-performance-benchmark-on-sale-closeend-equity-product
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2023 - Jan 1, 2025
    Area covered
    China
    Description

    China WMWMP: Average Performance Benchmark: On Sale Close-end: Equity Product data was reported at 4.300 % in Jan 2025. This records a decrease from the previous number of 4.330 % for Dec 2024. China WMWMP: Average Performance Benchmark: On Sale Close-end: Equity Product data is updated monthly, averaging 4.440 % from Aug 2022 (Median) to Jan 2025, with 27 observations. The data reached an all-time high of 6.030 % in Nov 2022 and a record low of 3.630 % in Aug 2024. China WMWMP: Average Performance Benchmark: On Sale Close-end: Equity Product data remains active status in CEIC and is reported by Puyi Standard. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Puyi Standard: Average Performance Benchmark: On Sale: Whole Market Wealth Management Product.

  17. G

    Employment Equity Promotion Rate Study (2022)- Three-Year Update

    • open.canada.ca
    • datasets.ai
    • +1more
    docx, html
    Updated Nov 20, 2024
    + more versions
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    Public Service Commission of Canada (2024). Employment Equity Promotion Rate Study (2022)- Three-Year Update [Dataset]. https://open.canada.ca/data/info/7e69c275-8407-4489-a27c-017e20d2da9d
    Explore at:
    html, docxAvailable download formats
    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Public Service Commission of Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 1, 2005 - Mar 31, 2021
    Description

    The Public Service Commission of Canada (PSC) is responsible for promoting and safeguarding a merit-based, representative and non-partisan federal public service. As part of its oversight role, it undertakes investigations as well as audit and research activities to assess the integrity of the public service staffing system and its performance against intended outcomes. This study is part of these oversight initiatives and assesses the success of employment equity group members (women, visible minorities, Indigenous Peoples, and persons with disabilities) in seeking and obtaining promotions, relative to their counterparts.

  18. u

    Employment Equity Promotion Rate Study (2022)- Three-Year Update - Catalogue...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Sep 30, 2024
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    (2024). Employment Equity Promotion Rate Study (2022)- Three-Year Update - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-7e69c275-8407-4489-a27c-017e20d2da9d
    Explore at:
    Dataset updated
    Sep 30, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    The Public Service Commission of Canada (PSC) is responsible for promoting and safeguarding a merit-based, representative and non-partisan federal public service. As part of its oversight role, it undertakes investigations as well as audit and research activities to assess the integrity of the public service staffing system and its performance against intended outcomes. This study is part of these oversight initiatives and assesses the success of employment equity group members (women, visible minorities, Indigenous Peoples, and persons with disabilities) in seeking and obtaining promotions, relative to their counterparts.

  19. Revolut Financial_Dataset.csv

    • figshare.com
    csv
    Updated Aug 29, 2024
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    praveen R (2024). Revolut Financial_Dataset.csv [Dataset]. http://doi.org/10.6084/m9.figshare.26871613.v1
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset provided by
    figshare
    Authors
    praveen R
    License

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

    Description

    This dataset provides a comprehensive view of a company’s financial and operational performance over the period from 2019 to 2023. It includes key metrics such as revenue, net profit, total comprehensive income, total assets, total equity, customer base, and indicators for return on equity (ROE) and return on assets (ROA). Additionally, the dataset contains a dummy variable to indicate the occurrence of a significant cyber incident in 2022. Data Fields:Year: The fiscal year for the reported data.Revenue (million GBP): Total income generated from sales and other operations, measured in millions of GBP.Net Profit (million GBP): The profit after all expenses, taxes, and costs, reported in millions of GBP.Total Comprehensive Income (million GBP): A measure of company performance that includes net income and other comprehensive income, reported in millions of GBP.Total Assets (million GBP): The total value of everything the company owns, reported in millions of GBP.Total Equity (million GBP): The shareholders' equity, representing the residual interest in the assets of the company after deducting liabilities, reported in millions of GBP.Customer Base (millions): The number of customers the company serves, measured in millions.ROE (%): Return on Equity, calculated as (Net Profit / Total Equity) * 100, and expressed as a percentage.ROA (%): Return on Assets, calculated as (Net Profit / Total Assets) * 100, and expressed as a percentage.CyberIncident: A binary variable (0 or 1) indicating the occurrence of a cyber incident in the corresponding year, with ‘1’ indicating an incident and ‘0’ indicating none.Key Insights:Revenue Growth: The company has shown significant growth in revenue, particularly from 2021 onwards, reflecting a strong upward trend in business performance.Profitability: After a challenging period in 2019 and 2020, the company achieved positive net profit starting in 2021, with substantial growth by 2023.Operational Efficiency: The ROE and ROA values demonstrate an improving trend in the company’s efficiency in utilizing equity and assets to generate profits.Customer Expansion: The customer base has expanded rapidly, tripling from 10 million in 2019 to 35 million in 2023, indicating successful market penetration and customer acquisition strategies.Cyber Incident Impact: A notable cyber incident occurred in 2022, which may have influenced financial and operational metrics during that period.Potential Uses:This dataset is valuable for financial analysts, researchers, and business strategists interested in understanding the financial trajectory, operational efficiency, and market growth of a company over a five-year period. It also provides insights into the impact of cyber incidents on company performance.

  20. d

    Replication Data for: Learning from Intermittent Water Supply Schedules:...

    • search.dataone.org
    Updated Dec 28, 2023
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    Meyer, David (2023). Replication Data for: Learning from Intermittent Water Supply Schedules: Visualizing Equality, Equity and Hydraulic Capacity in Bengaluru and Delhi, India [Dataset]. http://doi.org/10.5683/SP3/QA0YQM
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Meyer, David
    Area covered
    Delhi
    Description

    Intermittent Schedule Vizualization David Meyer 2022-10-24 The repository contains the data, code, and figures associated with the paper Meyer et al. 2023. Over a billion people get water from water supply networks that regularly interrupt their service. Unfortunately, the intermittent operations induce inequalities within the network. In our work, we created the tools needed to use Water Supply Schedules to quantify and compare the inequality of water supply schedules between and within cities. We apply these tools to the largest and most complicated intermittent water systems ever described in peer-reviewed papers: Delhi and Bangalore; they supply water to 25 million people according to 3278 schedules. Uniquely, we propose to use publicly posted water supply schedules to estimate service quality and service equality within intermittent systems at a novel scale: the supply schedule scale. While we demonstrate and visualize the use of supply schedules in Delhi and Bangalore, the implications of our work are much broader: we showcase a new scale at which intermittent systems could and should be researched and regulated and we provide the methods required to do so. Research into intermittent water supplies is often limited by data availability. Against this trend, we openly share our digitized versions of each city’s water supply schedules and the code required to process them in this repository. In doing so, we hope to enable other researchers to explore and model the operations of intermittent systems in ways that reflect the complexity and inequalities of intermittent supply. In this repository, you’ll find the: 1. original schedule data from both cities 2. manually transcribed schedule data 3. processed schedules in long and wide formats 4. code to process the transcribed schedules 5. visual summaries of the schedules 6. code to generate these visual summaries We extended our analysis by intersecting schedule census data using GIS. We include: 7. Census data 8. Our intersected data 9. Code to generate visual summaries of the equity data Relevant files are contained in Data, Code, and Figure subfolders.

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CEICdata.com (2025). China CN: WMWMP: Average Performance Benchmark: New Issuance Open-end: Equity Product [Dataset]. https://www.ceicdata.com/en/china/puyi-standard-average-performance-benchmark-new-issuance-whole-market-wealth-management-product/cn-wmwmp-average-performance-benchmark-new-issuance-openend-equity-product

China CN: WMWMP: Average Performance Benchmark: New Issuance Open-end: Equity Product

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Dataset updated
Feb 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
Sep 1, 2022
Area covered
China
Description

China WMWMP: Average Performance Benchmark: New Issuance Open-end: Equity Product data was reported at 6.330 % in Sep 2022. China WMWMP: Average Performance Benchmark: New Issuance Open-end: Equity Product data is updated monthly, averaging 6.330 % from Sep 2022 (Median) to Sep 2022, with 1 observations. The data reached an all-time high of 6.330 % in Sep 2022 and a record low of 6.330 % in Sep 2022. China WMWMP: Average Performance Benchmark: New Issuance Open-end: Equity Product data remains active status in CEIC and is reported by Puyi Standard. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Puyi Standard: Average Performance Benchmark: New Issuance: Whole Market Wealth Management Product.

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