100+ datasets found
  1. Value of MSCI World USD index 1986-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 25, 2025
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    Statista (2025). Value of MSCI World USD index 1986-2024 [Dataset]. https://www.statista.com/statistics/276225/annual-trend-of-the-msci-world-index-since-1969/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The statistic shows the development of the MSCI World USD Index from 1986 to 2024. The 2024 year-end value of the MSCI World USD index amounted to ******** points. MSCI World USD index – additional information The MSCI World Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices. It includes stocks from developed countries all over the world and is regarded as benchmark of global stock market. According to MSCI, this index covers about ** percent of the free float-adjusted market capitalization in each country. As seen on the statistics above, in 2024, MSCI World USD index reported its highest value since 1986 amounting, a threefold increase from the figure recorded in 2013, when the year-end value of the MSCI World index was equal to ********. Along with the S&P Global Broad Market, the MSCI World is one of the most important global stock market performance indexes. Aside of including markets around the globe, these two indexes are global in a sense that they disregard where the companies are domiciled or traded, whereas other important indexes such as the Dow Jones Industrial Average, the Japanese index Nikkei 225, Wilshire 5000, the NASDAQ 100 index, have different approaches.

  2. Effect of coronavirus on major global stock indices 2020-2021

    • statista.com
    Updated Dec 11, 2023
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    Statista (2023). Effect of coronavirus on major global stock indices 2020-2021 [Dataset]. https://www.statista.com/statistics/1251618/effect-coronavirus-major-global-stock-indices/
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    Dataset updated
    Dec 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Nov 14, 2021
    Area covered
    Worldwide
    Description

    While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around 40 percent of their value compared to January 5, 2020. However, Asian markets and the NASDAQ Composite Index only shed around 20 to 25 percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around 65 percent higher than in January 2020, while most other markets were only between 20 and 40 percent higher.

    Why did the NASDAQ recover the quickest?

    Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide.

    Which markets suffered the most?

    The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

  3. COVID-19 - World Major Indices Historical Data

    • kaggle.com
    Updated Mar 21, 2020
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    alvarobartt (2020). COVID-19 - World Major Indices Historical Data [Dataset]. https://www.kaggle.com/alvarob96/covid19-world-major-indices-historical-data/metadata
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 21, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    alvarobartt
    License

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

    Description

    Context

    COVID-19 or Corona Virus is on anyone's lips, since it has affected (and still affecting) a lot of aspects in our lives. From when the virus was first considered a pandemic until now, it has driven the markets crazy, having one of the most significant effects on the past years. No one was able to predict this and none of the financial models was prepared for the huge change the market has suffered. This dataset aims to explain the market evolution before and after the COVID-19

    Content

    Financial historical data from the World Major Indices, including: Shanghai, FTSE MIB, S&P 500, Nasdaq, Dow 30, Euro Stoxx 50, and much more. The dataset contains: OHLC values, the Volume and the Currency.

    Note that the dataset has been generated using investpy an open-source Python package to extract financial data from Investing.com, and you can find all the usage information and documentation at: https://github.com/alvarobartt/investpy.

    Inspiration

    This dataset aims to explain the market evolution before and after the COVID-19 so as to extract conclusions based on just market data or maybe aggregating external data such as news reports, tweets, etc. so feel free to use this dataset and combine it with others so that we, the community, can develop useful kernels so as to analyse and understand this situation and its impacts. So it is also an open call to researchers, data scientists, financial analysts, etc. so to collaborate together in a market study on the impacts of COVID-19.

    Acknowledgements

    This dataset been created by Álvaro Bartolomé del Canto using investpy so as to retrieve the historical data from Investing.com. Also, the banner image is property of Investing.com since it is an Investing.com Weekly Comic.

  4. p

    Data from: Short term stress of covid-19 on world major stock indices

    • openacessjournal.primarydomain.in
    Updated Aug 6, 2020
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    Open access journals (2020). Short term stress of covid-19 on world major stock indices [Dataset]. https://www.openacessjournal.primarydomain.in/abstract/71
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    Dataset updated
    Aug 6, 2020
    Dataset authored and provided by
    Open access journals
    Area covered
    World
    Description

    Short term stress of covid 19 on world major stock indices The main objective of this study is to check short term stress of COVID 19 on the American European Asian and Pacific stock market indices furthermore the correlation between all the stock markets during the pandemic Secondary data of 41 stock exchange from 32 countries have been collected from investing com website from 1st July 2019 to 14th May 2020 for the stock market and the COVID 19 data has been collected according to the

  5. Largest stock exchange operators worldwide 2025, by market capitalization

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Largest stock exchange operators worldwide 2025, by market capitalization [Dataset]. https://www.statista.com/statistics/270126/largest-stock-exchange-operators-by-market-capitalization-of-listed-companies/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2025
    Area covered
    Worldwide
    Description

    The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of June 2025. The following three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

  6. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
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    xml, csv, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 19, 1990 - Jul 18, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3534 points on July 18, 2025, gaining 0.50% from the previous session. Over the past month, the index has climbed 5.13% and is up 18.52% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  7. d

    Global Stock, ETF, and Index data

    • datarade.ai
    .json, .csv
    Updated Jul 7, 2023
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    Twelve Data (2023). Global Stock, ETF, and Index data [Dataset]. https://datarade.ai/data-products/twelve-data-world-stock-forex-crypto-data-via-api-and-webs-twelve-data
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    .json, .csvAvailable download formats
    Dataset updated
    Jul 7, 2023
    Dataset authored and provided by
    Twelve Data
    Area covered
    Afghanistan, Iran (Islamic Republic of), Belarus, Burundi, Costa Rica, United States Minor Outlying Islands, Mozambique, Egypt, Christmas Island, Micronesia (Federated States of)
    Description

    Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

    At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

    We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

  8. F

    Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall

    • ceicdata.com
    Updated Feb 6, 2018
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    CEICdata.com (2018). Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall [Dataset]. https://www.ceicdata.com/en/finland/transportation/fi-logistics-performance-index-1low-to-5high-overall
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    Dataset updated
    Feb 6, 2018
    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, 2007 - Dec 1, 2016
    Area covered
    Finland
    Variables measured
    Vehicle Traffic
    Description

    Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall data was reported at 3.921 NA in 2016. This records an increase from the previous number of 3.623 NA for 2014. Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall data is updated yearly, averaging 3.890 NA from Dec 2007 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.050 NA in 2012 and a record low of 3.623 NA in 2014. Finland FI: Logistics Performance Index: 1=Low To 5=High: Overall data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Finland – Table FI.World Bank.WDI: Transportation. Logistics Performance Index overall score reflects perceptions of a country's logistics based on efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010).; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

  9. f

    datasheet1_Network-centric Indicators for Fragility in Global Financial...

    • frontiersin.figshare.com
    • figshare.com
    pdf
    Updated Jun 2, 2023
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    Areejit Samal; Sunil Kumar; Yasharth Yadav; Anirban Chakraborti (2023). datasheet1_Network-centric Indicators for Fragility in Global Financial Indices.pdf [Dataset]. http://doi.org/10.3389/fphy.2020.624373.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Areejit Samal; Sunil Kumar; Yasharth Yadav; Anirban Chakraborti
    License

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

    Description

    Over the last 2 decades, financial systems have been studied and analyzed from the perspective of complex networks, where the nodes and edges in the network represent the various financial components and the strengths of correlations between them. Here, we adopt a similar network-based approach to analyze the daily closing prices of 69 global financial market indices across 65 countries over a period of 2000–2014. We study the correlations among the indices by constructing threshold networks superimposed over minimum spanning trees at different time frames. We investigate the effect of critical events in financial markets (crashes and bubbles) on the interactions among the indices by performing both static and dynamic analyses of the correlations. We compare and contrast the structures of these networks during periods of crashes and bubbles, with respect to the normal periods in the market. In addition, we study the temporal evolution of traditional market indicators, various global network measures, and the recently developed edge-based curvature measures. We show that network-centric measures can be extremely useful in monitoring the fragility in the global financial market indices.

  10. India Equity Market Index

    • ceicdata.com
    • dr.ceicdata.com
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    CEICdata.com, India Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/india/equity-market-index
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    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
    India
    Variables measured
    Securities Exchange Index
    Description

    Key information about India Sensitive 30 (Sensex)

    • India Sensitive 30 (Sensex) closed at 73,198.1 points in Feb 2025, compared with 77,500.6 points at the previous month end
    • India Equity Market Index: Month End: BSE: Sensitive 30 (Sensex) data is updated monthly, available from Apr 1979 to Feb 2025, with an average number of 4,285.0 points
    • The data reached an all-time high of 84,299.8 points in Sep 2024 and a record low of 115.6 points in Nov 1979

    [COVID-19-IMPACT]


    Further information about India Sensitive 30 (Sensex)

    • In the latest reports, SENSEX recorded a daily P/E ratio of 20.6 in Mar 2025

  11. Data from: Global Annual Freezing and Thawing Indices, Version 1

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +8more
    Updated Jul 3, 2025
    + more versions
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    NASA NSIDC DAAC (2025). Global Annual Freezing and Thawing Indices, Version 1 [Dataset]. https://catalog.data.gov/dataset/global-annual-freezing-and-thawing-indices-version-1-99fb7
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    Dataset updated
    Jul 3, 2025
    Dataset provided by
    National Snow and Ice Data Center
    NASAhttp://nasa.gov/
    Description

    The total annual freezing and thawing indices are defined as thecumulative number of degree-days when air temperatures are below andabove zero degrees Celsius. The total annual freezing index has beenwidely used to predict permafrost distribution; estimate themaximum thickness of sea, lake, and river ice, and the maximum depth ofground-frost penetration; and classify snow types. The annual totalthawing index has been used to predict permafrost distribution and toestimate the maximum depth of thaw in frozen ground. Both totalfreezing and thawing indices are important parameters for engineeringdesign in cold regions.Data coverage is global. The data set contains the total annual freezing and thawing indices with a spatial resolution of 0.5 degreeslatitude by 0.5 degrees longitude. Two data files are available, forthe freeze and thaw indices respectively, in flat binary format. Eachfile is approximately 1 MB in size. The total annual freezing andthawing indexes were calculated based upon the monthly mean airtemperature by Legates and Willmott (1990).

  12. l

    Supplementary information files for Emerging stock market volatility and...

    • repository.lboro.ac.uk
    pdf
    Updated May 30, 2023
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    Menelaos Karanasos; Stavroula Yfanti; John Hunter (2023). Supplementary information files for Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises [Dataset]. http://doi.org/10.17028/rd.lboro.19739773.v1
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Loughborough University
    Authors
    Menelaos Karanasos; Stavroula Yfanti; John Hunter
    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

    Supplementary information files for the article Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises

    Abstract: This paper studies the US and global economic fundamentals that exacerbate emerging stock markets volatility and can be considered as systemic risk factors increasing financial stability vulnerabilities. We apply the bivariate HEAVY system of daily and intra-daily volatility equations enriched with powers, leverage, and macro-effects that improve its forecasting accuracy significantly. Our macro-augmented asymmetric power HEAVY model estimates the inflammatory effect of US uncertainty and infectious disease news impact on equities alongside global credit and commodity factors on emerging stock index realized volatility. Our study further demonstrates the power of the economic uncertainty channel, showing that higher US policy uncertainty levels increase the leverage effects and the impact from the common macro-financial proxies on emerging markets’ financial volatility. Lastly, we provide evidence on the crucial role of both financial and health crisis events (the 2008 global financial turmoil and the recent Covid-19 pandemic) in raising markets’ turbulence and amplifying the volatility macro-drivers impact, as well.

  13. Montenegro Equity Market Index

    • ceicdata.com
    Updated Jun 15, 2020
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    CEICdata.com (2020). Montenegro Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/montenegro/equity-market-index
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    Dataset updated
    Jun 15, 2020
    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
    Montenegro
    Variables measured
    Securities Exchange Index
    Description

    Key information about Montenegro MONEX

    • Montenegro MONEX closed at 17,981.3 points in Feb 2025, compared with 17,232.4 points at the previous month end
    • Montenegro Equity Market Index: Month End: MONEX data is updated monthly, available from Mar 2003 to Feb 2025, with an average number of 11,037.9 points
    • The data reached an all-time high of 46,232.4 points in Apr 2007 and a record low of 927.7 points in Jul 2003

    Montenegro Stock Exchange provides daily data on 2 major stock market indices, but the MONEX20 index is the one most closely monitored by analysts. Due to the merge of the two Montenegrian stock exchanges in December 2010 the index NEX 20 has been renamed to MONEX20

  14. Globalization Index - top 50 countries 2023

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Globalization Index - top 50 countries 2023 [Dataset]. https://www.statista.com/statistics/268168/globalization-index-by-country/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    In the 2023 edition of the globalization index, Switzerland had the highest index score at 90.75. Belgium followed behind, with the Netherlands in third. Overall, globalization declined in 2020 due to the COVID-19 outbreak, but increased somewhat in 2021, even though it was still below pre-pandemic levels.

    About the index

    The KOF Index of Globalization aims to measure the rate of globalization in countries around the world. Data used to construct the 2023 edition of the index was from 2021. The index is based on three dimensions, or core sets of indicators: economic, social, and political. Via these three dimensions, the overall index of globalization tries to assess current economic flows, economic restrictions, data on information flows, data on personal contact, and data on cultural proximity within surveyed countries.

    Defining globalization

    Globalization is defined for this index as the process of creating networks of connections among actors at multi-continental distances, mediated through a variety of flows including people, information and ideas, capital and goods. It is a process that erodes national boundaries, integrates national economies, cultures, technologies and governance and produces complex relations of mutual interdependence.

  15. The World's Best Import Markets for Prepared Dishes and Meals - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). The World's Best Import Markets for Prepared Dishes and Meals - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/world-worlds-best-import-markets-for-prepared-dishes-and-meal/
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    xls, doc, xlsx, docx, pdfAvailable download formats
    Dataset updated
    Jul 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 - Jul 1, 2025
    Area covered
    World, World
    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 the top import markets for prepared dishes and meals worldwide. Explore key statistics and understand the magnitude of the industry. Find out which countries lead the market in import value and why. Read more on IndexBox market intelligence platform.

  16. Largest firms on the NYSE U.S. 100 Index 2024, by market cap

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Largest firms on the NYSE U.S. 100 Index 2024, by market cap [Dataset]. https://www.statista.com/statistics/1330910/nyse-us-100-index-companies-by-market-cap/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The NYSE U.S. 100 Index tracks the largest U.S. companies traded on the New York Stock Exchange. This statistic shows the leading 20 companies on the NYSE U.S. 100 Index by market capitalization. As of January 28, 2024 the multinational conglomerate company ****************** ranked as the first, with a market capitalization of over *** billion euros. This was followed by ********* and ***************, with market capitalizations amounting to *** billion and *** billion euros respectively. NYSE U.S. 100 Index vs. Nasdaq 100 Index The New York Stock Exchange and the Nasdaq are the largest two stock exchanges in the world, but they differ in the kinds of companies they list. The NYSE is known to list stable and long-lasting firms, commonly referred to as “blue-chip” companies. In contrast, the Nasdaq is renowned for listing the world’s biggest companies, mainly from the tech industry. Similar to the NYSE U.S. 100 Index, the Nasdaq 100 Index tracks the 100 largest non-financial companies listed on the Nasdaq exchange, including both U.S. and non-U.S. companies. The leader of the NYSE U.S. 100 index: Berkshire Hathaway Berkshire Hathaway, the leader of the NYSE U.S. 100 Index, was also among the world's largest companies by revenue in 2023. The company is a multinational conglomerate and holding company with insurance as its core business and interests in other sectors such as railroad, utilities and energy, finance. In fact, Berkshire was the world's biggest insurance company by revenue in 2023. As a holding company, it has significant stakes in some of the world’s largest companies, including Apple, Bank of America and Coca-Cola. With its diverse background in various businesses and industries, Berkshire Hathaway had a total revenue of *** billion U.S. dollars in 2023.

  17. Turkmenistan TM: Logistics Performance Index: 1=Low To 5=High: Ease of...

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). Turkmenistan TM: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments [Dataset]. https://www.ceicdata.com/en/turkmenistan/transportation/tm-logistics-performance-index-1low-to-5high-ease-of-arranging-competitively-priced-shipments
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    Dataset updated
    May 15, 2018
    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, 2010 - Dec 1, 2016
    Area covered
    Turkmenistan
    Description

    Turkmenistan TM: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments data was reported at 2.374 NA in 2016. This records a decrease from the previous number of 2.556 NA for 2014. Turkmenistan TM: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments data is updated yearly, averaging 2.374 NA from Dec 2010 (Median) to 2016, with 3 observations. The data reached an all-time high of 2.556 NA in 2014 and a record low of 2.310 NA in 2010. Turkmenistan TM: Logistics Performance Index: 1=Low To 5=High: Ease of Arranging Competitively Priced Shipments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Turkmenistan – Table TM.World Bank.WDI: Transportation. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluate eight markets on six core dimensions on a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Details of the survey methodology are in Arvis and others' Connecting to Compete 2010: Trade Logistics in the Global Economy (2010). Respondents assessed the ease of arranging competitively priced shipments to markets, on a rating ranging from 1 (very difficult) to 5 (very easy). Scores are averaged across all respondents.; ; World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators report.; Unweighted average;

  18. H

    Honduras Direct popular vote index - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 17, 2025
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    Globalen LLC (2025). Honduras Direct popular vote index - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Honduras/direct_vote_index/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2023
    Area covered
    Honduras
    Description

    Honduras: Direct popular vote index: The latest value from 2023 is 0.017 index points, unchanged from 0.017 index points in 2022. In comparison, the world average is 0.097 index points, based on data from 171 countries. Historically, the average for Honduras from 1960 to 2023 is 0.004 index points. The minimum value, 0 index points, was reached in 1960 while the maximum of 0.017 index points was recorded in 2009.

  19. Monthly development DAX Index 2015-2025

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Monthly development DAX Index 2015-2025 [Dataset]. https://www.statista.com/statistics/261678/annual-dax-trends-since-1987/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Feb 2025
    Area covered
    Germany
    Description

    At the end of February 2025, the DAX index reached ********* points, marking its highest level since January 2015. Moreover, this also reflected a strong recovery from the global coronavirus (COVID-19) pandemic, having risen from ******** points at the end of March 2020 and surpassing its pre-pandemic level of approximately ********* points at the end of December 2019. Origin and composition of the DAX Index The DAX (Deutscher Aktienindex) is the most important German stock index, showing the value trends of the 40 largest companies by market capitalization listed on the Frankfurt stock exchange. The DAX index was introduced on July 1, 1988 and is a continuation of the Börsen-Zeitung Index, established in 1959. The count among their number some of the most recognizable companies in the world, such as carmakers Volkswagen and Daimler, sportswear brand adidas, and industrial giants Siemens and BASF. After the DAX, the 50 next-largest German companies are included in the midcap MDAX index, while the 70 next-largest small and medium-sized German companies (ranked from 91 to 160) are included in the SDAX index. The Frankfurt Stock Exchange All the companies included in the DAX family of indices are traded on the Frankfurt Stock Exchange. Dating back to 1585, the Frankfurt Stock Exchange is considered to be the oldest exchange in the world. It is the twelfth largest stock exchange in the world in terms of market capitalization, and accounts for around ** percent of all equity trading in Germany. Two main trading venues comprise the Frankfurt Stock Exchange: the Börse Frankfurt is a traditional trading floor; while the Xetra is an electronic trading system which accounts for the vast majority of trading volume on Frankfurt Stock Exchange. As of December 2023, the total market capitalization of all companies listed on the Frankfurt Stock Exchange was around *** trillion euros.

  20. T

    Baltic Exchange Dry Index - Price Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 22, 2020
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    TRADING ECONOMICS (2020). Baltic Exchange Dry Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/baltic
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Oct 22, 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, 1985 - Jul 17, 2025
    Area covered
    World
    Description

    Baltic Dry rose to 2,030 Index Points on July 17, 2025, up 6.51% from the previous day. Over the past month, Baltic Dry's price has risen 8.32%, and is up 6.17% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Baltic Exchange Dry Index - values, historical data, forecasts and news - updated on July of 2025.

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Statista (2025). Value of MSCI World USD index 1986-2024 [Dataset]. https://www.statista.com/statistics/276225/annual-trend-of-the-msci-world-index-since-1969/
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Value of MSCI World USD index 1986-2024

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 25, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

The statistic shows the development of the MSCI World USD Index from 1986 to 2024. The 2024 year-end value of the MSCI World USD index amounted to ******** points. MSCI World USD index – additional information The MSCI World Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices. It includes stocks from developed countries all over the world and is regarded as benchmark of global stock market. According to MSCI, this index covers about ** percent of the free float-adjusted market capitalization in each country. As seen on the statistics above, in 2024, MSCI World USD index reported its highest value since 1986 amounting, a threefold increase from the figure recorded in 2013, when the year-end value of the MSCI World index was equal to ********. Along with the S&P Global Broad Market, the MSCI World is one of the most important global stock market performance indexes. Aside of including markets around the globe, these two indexes are global in a sense that they disregard where the companies are domiciled or traded, whereas other important indexes such as the Dow Jones Industrial Average, the Japanese index Nikkei 225, Wilshire 5000, the NASDAQ 100 index, have different approaches.

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