100+ datasets found
  1. National debt of the emerging market in relation to gross domestic product...

    • statista.com
    • ai-chatbox.pro
    Updated May 26, 2025
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    Statista (2025). National debt of the emerging market in relation to gross domestic product (GDP) 2030 [Dataset]. https://www.statista.com/statistics/805550/national-debt-of-the-emerging-market-and-developing-economies-in-relation-to-gross-domestic-product-gdp/
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    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Laos
    Description

    This statistic shows the national debt of the emerging market and developing economies from 2020 to 2024 in relation to gross domestic product (GDP), with projections up until 2030. The figures are aggregated and refer to the whole country respectively, and include the debts of the state, the communities, the municipalities and the social insurances. In 2024, the national debt of the emerging market and developing economies amounted to approximately 69.47 percent of GDP.

  2. F

    ICE BofA BBB Emerging Markets Corporate Plus Index Effective Yield

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). ICE BofA BBB Emerging Markets Corporate Plus Index Effective Yield [Dataset]. https://fred.stlouisfed.org/series/BAMLEM2BRRBBBCRPIEY
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 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 BBB Emerging Markets Corporate Plus Index Effective Yield (BAMLEM2BRRBBBCRPIEY) from 1998-12-31 to 2025-07-02 about BBB, sub-index, emerging markets, yield, corporate, interest rate, interest, rate, and USA.

  3. United States USD Trade Weighted Index: Nominal: Emerging Market Economies

    • ceicdata.com
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    CEICdata.com, United States USD Trade Weighted Index: Nominal: Emerging Market Economies [Dataset]. https://www.ceicdata.com/en/united-states/us-dollar-trade-weighted-index/usd-trade-weighted-index-nominal-emerging-market-economies-
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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
    Feb 1, 2018 - Jan 1, 2019
    Area covered
    United States
    Variables measured
    Foreign Exchange Rate
    Description

    United States USD Trade Weighted Index: Nominal: Emerging Market Economies data was reported at 121.368 2006=100 in Jan 2019. This records a decrease from the previous number of 123.885 2006=100 for Dec 2018. United States USD Trade Weighted Index: Nominal: Emerging Market Economies data is updated monthly, averaging 98.829 2006=100 from Jan 2006 (Median) to Jan 2019, with 157 observations. The data reached an all-time high of 124.362 2006=100 in Nov 2018 and a record low of 89.858 2006=100 in Jul 2008. United States USD Trade Weighted Index: Nominal: Emerging Market Economies data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

  4. J

    The emerging market crisis and stock market linkages: further evidence...

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt
    Updated Dec 8, 2022
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    Jian Yang; Cheng Hsiao; Qi Li; Zijun Wang; Jian Yang; Cheng Hsiao; Qi Li; Zijun Wang (2022). The emerging market crisis and stock market linkages: further evidence (replication data) [Dataset]. http://doi.org/10.15456/jae.2022319.0712612206
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    txt(766), txt(166175)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Jian Yang; Cheng Hsiao; Qi Li; Zijun Wang; Jian Yang; Cheng Hsiao; Qi Li; Zijun Wang
    License

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

    Description

    This study examines the long-run price relationship and the dynamic price transmission among the USA, Germany, and four major Eastern European emerging stock markets, with particular attention to the impact of the 1998 Russian financial crisis. The results show that both the long-run price relationship and the dynamic price transmission were strengthened among these markets after the crisis. The influence of Germany became noticeable on all the Eastern European markets only after the crisis but not before the crisis. We also conduct a rolling generalized VAR analysis to confirm the robustness of the main findings.

  5. Cumulative value of emerging market green bond issuance 2012-2023, by...

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Cumulative value of emerging market green bond issuance 2012-2023, by country [Dataset]. https://www.statista.com/statistics/1290909/emerging-market-green-bond-issuance-by-country/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    From 2012 to 2023, China was the largest emerging market for green bonds issued, with an issuance of nearly *** billion U.S. dollars. India, Brazil, Chile, and the United Arab Emirates were the largest issuers after China.

  6. E

    Emerging Market Funds Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 14, 2025
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    Data Insights Market (2025). Emerging Market Funds Report [Dataset]. https://www.datainsightsmarket.com/reports/emerging-market-funds-1948341
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Emerging Market Funds market is experiencing robust growth, driven by increasing investor interest in high-growth economies and diversification strategies. While precise market size figures for 2019-2024 are unavailable, a reasonable estimation, based on industry reports and the stated forecast period (2025-2033) with a provided CAGR, suggests a significant market size in 2025 (let's assume $500 billion for illustrative purposes). This substantial base indicates a considerable potential for future growth. Key drivers include rising disposable incomes in emerging economies, increasing financial literacy, and the availability of sophisticated investment vehicles catering to diverse risk appetites. Furthermore, favourable macroeconomic conditions in certain regions and government initiatives promoting financial inclusion are also fueling market expansion. However, challenges remain, including geopolitical instability in some emerging markets, currency fluctuations, and regulatory uncertainties. The market is segmented by fund type (e.g., equity, debt, balanced), investment strategy (e.g., value, growth), and region. Major players like BlackRock, Vanguard, Fidelity, and several prominent Asian fund houses dominate the landscape, leveraging their global reach and expertise to capture market share. The forecast period (2025-2033) promises continued expansion, although the exact CAGR will depend on various macroeconomic factors and evolving investor sentiment. The competitive landscape is characterized by intense competition among both global and regional players. Established players are constantly innovating to offer competitive products and services, such as ESG (Environmental, Social, and Governance) focused funds and thematic funds aligned with specific emerging market trends. Mergers and acquisitions are also expected to play a role in shaping the market dynamics. The increasing adoption of fintech solutions is streamlining operations and improving accessibility for investors. The growth trajectory will largely depend on factors such as global economic stability, interest rate movements, and political stability within emerging market countries. The successful players will be those that can effectively manage risk, adapt to changing market conditions, and offer compelling investment strategies tailored to specific investor needs.

  7. T

    United States - ICE BofA Private Sector Financial Emerging Markets Corporate...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 25, 2020
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    TRADING ECONOMICS (2020). United States - ICE BofA Private Sector Financial Emerging Markets Corporate Plus Total Return Value [Dataset]. https://tradingeconomics.com/united-states/bofa-merrill-lynch-financial-emerging-markets-corporate-plus-sub-index-total-return-index-value-fed-data.html
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Feb 25, 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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - ICE BofA Private Sector Financial Emerging Markets Corporate Plus Total Return Value was 514.81000 Index in June of 2025, according to the United States Federal Reserve. Historically, United States - ICE BofA Private Sector Financial Emerging Markets Corporate Plus Total Return Value reached a record high of 514.81000 in June of 2025 and a record low of 96.75000 in January of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - ICE BofA Private Sector Financial Emerging Markets Corporate Plus Total Return Value - last updated from the United States Federal Reserve on June of 2025.

  8. a

    Indonesia export data: Thriving Trade in Emerging Market Economy

    • it.abrams.wiki
    Updated Jul 1, 2025
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    ABRAMS world trade wiki (2025). Indonesia export data: Thriving Trade in Emerging Market Economy [Dataset]. https://it.abrams.wiki/dati-sul-commercio-globale/indonesia-export-data
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    ABRAMS world trade wiki
    License

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

    Time period covered
    2025
    Area covered
    Description

    Indonesia export data: Dive into the world's emerging economy with major trade in coal, palm oil, textiles, and more.

  9. F

    ICE BofA AAA-A Emerging Markets Corporate Plus Index Option-Adjusted Spread

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). ICE BofA AAA-A Emerging Markets Corporate Plus Index Option-Adjusted Spread [Dataset]. https://fred.stlouisfed.org/series/BAMLEM1BRRAAA2ACRPIOAS
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 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 AAA-A Emerging Markets Corporate Plus Index Option-Adjusted Spread (BAMLEM1BRRAAA2ACRPIOAS) from 1998-12-31 to 2025-07-02 about A Bond Rating, sub-index, emerging markets, option-adjusted spread, corporate, and USA.

  10. Latin America: Emerging Markets Bond Index spread by country 2024

    • statista.com
    Updated Sep 23, 2024
    + more versions
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    Statista (2024). Latin America: Emerging Markets Bond Index spread by country 2024 [Dataset]. https://www.statista.com/statistics/1086634/emerging-markets-bond-index-spread-latin-america-country/
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    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 19, 2024
    Area covered
    Latin America, Americas, LAC
    Description

    The Emerging Markets Bond Index (EMBI), commonly known as "riesgo país" in Spanish speaking countries, is a weighted financial benchmark that measures the interest rates paid each day by a selected portfolio of government bonds from emerging countries. It is measured in base points, which reflect the difference between the return rates paid by emerging countries' government bonds and those offered by U.S. Treasury bills. This difference is defined as "spread". Which Latin American country has the highest risk bonds? As of September 19, 2024, Venezuela was the Latin American country with the greatest financial risk and highest expected returns of government bonds, with an EMBI spread of around 254 percent. This means that the annual interest rates paid by Venezuela's sovereign debt titles were estimated to be exponentially higher than those offered by the U.S. Treasury. On the other hand, Brazil's EMBI reached 207 index points at the end of August 2023. In 2023, Venezuela also had the highest average EMBI in Latin America, exceeding 40,000 base points. The impact of COVID-19 on emerging market bonds The economic crisis spawned by the coronavirus pandemic heavily affected the financial market's estimated risks of emerging governmental bonds. For instance, as of June 30, 2020, Argentina's EMBI spread had increased more than four percentage points in comparison to January 30, 2020. All the Latin American economies measured saw a significant increase of the EMBI spread in the first half of the year.

  11. M

    Emerging Markets Corporate Yield Index (1998-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Emerging Markets Corporate Yield Index (1998-2025) [Dataset]. https://www.macrotrends.net/5079/emerging-markets-corporate-yield-index
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    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
    1998 - 2025
    Area covered
    United States
    Description

    This data represents the effective yield of the ICE BofA BB Emerging Markets Corporate Plus Index is a subset of the ICE BofA Emerging Markets Corporate Plus Index, which includes only securities rated BB1 through BB3. The same inclusion rules apply for this series as those that apply for ICE BofA Emerging Markets Corporate Plus Index (https://fred.stlouisfed.org/series/BAMLEMCBPITRIV?cid=32413). When the last calendar day of the month takes place on the weekend, weekend observations will occur as a result of month ending accrued interest adjustments.

    Certain indices and index data included in FRED are the property of ICE Data Indices, LLC (“ICE DATA”) and used under license. ICE® IS A REGISTERED TRADEMARK OF ICE DATA OR ITS AFFILIATES AND BOFA® IS A REGISTERED TRADEMARK OF BANK OF AMERICA CORPORATION LICENSED BY BANK OF AMERICA CORPORATION AND ITS AFFILIATES (“BOFA”) AND MAY NOT BE USED WITHOUT BOFA’S PRIOR WRITTEN APPROVAL. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DISCLAIM ANY AND ALL WARRANTIES AND REPRESENTATIONS, EXPRESS AND/OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, INCLUDING WITH REGARD TO THE INDICES, INDEX DATA AND ANY DATA INCLUDED IN, RELATED TO, OR DERIVED THEREFROM. NEITHER ICE DATA, NOR ITS AFFILIATES OR THEIR RESPECTIVE THIRD PARTY PROVIDERS SHALL BE SUBJECT TO ANY DAMAGES OR LIABILITY WITH RESPECT TO THE ADEQUACY, ACCURACY, TIMELINESS OR COMPLETENESS OF THE INDICES OR THE INDEX DATA OR ANY COMPONENT THEREOF. THE INDICES AND INDEX DATA AND ALL COMPONENTS THEREOF ARE PROVIDED ON AN “AS IS” BASIS AND YOUR USE IS AT YOUR OWN RISK. ICE DATA, ITS AFFILIATES AND THEIR RESPECTIVE THIRD PARTY SUPPLIERS DO NOT SPONSOR, ENDORSE, OR RECOMMEND FRED, OR ANY OF ITS PRODUCTS OR SERVICES.

    Copyright, 2023, ICE Data Indices. Reproduction of this data in any form is prohibited except with the prior written permission of ICE Data Indices.

    The end of day Index values, Index returns, and Index statistics (“Top Level Data”) are being provided for your internal use only and you are not authorized or permitted to publish, distribute or otherwise furnish Top Level Data to any third-party without prior written approval of ICE Data. Neither ICE Data, its affiliates nor any of its third party suppliers shall have any liability for the accuracy or completeness of the Top Level Data furnished through FRED, or for delays, interruptions or omissions therein nor for any lost profits, direct, indirect, special or consequential damages. The Top Level Data is not investment advice and a reference to a particular investment or security, a credit rating or any observation concerning a security or investment provided in the Top Level Data is not a recommendation to buy, sell or hold such investment or security or make any other investment decisions. You shall not use any Indices as a reference index for the purpose of creating financial products (including but not limited to any exchange-traded fund or other passive index-tracking fund, or any other financial instrument whose objective or return is linked in any way to any Index) without prior written approval of ICE Data. ICE Data, their affiliates or their third party suppliers have exclusive proprietary rights in the Top Level Data and any information and software received in connection therewith. You shall not use or permit anyone to use the Top Level Data for any unlawful or unauthorized purpose. Access to the Top Level Data is subject to termination in the event that any agreement between FRED and ICE Data terminates for any reason. ICE Data may enforce its rights against you as the third-party beneficiary of the FRED Services Terms of Use, even though ICE Data is not a party to the FRED Services Terms of Use. The FRED Services Terms of Use, including but limited to the limitation of liability, indemnity and disclaimer provisions, shall extend to third party suppliers.

  12. F

    ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index Total...

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). ICE BofA Crossover US Emerging Markets Liquid Corporate Plus Index Total Return Index Value [Dataset]. https://fred.stlouisfed.org/series/BAMLEMXOCOLCRPIUSTRIV
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 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 Crossover US Emerging Markets Liquid Corporate Plus Index Total Return Index Value (BAMLEMXOCOLCRPIUSTRIV) from 2003-12-31 to 2025-07-02 about return, sub-index, emerging markets, liquidity, corporate, indexes, and USA.

  13. Global Alcohol-to-Jet Fuel Market Economic and Social Impact 2025-2032

    • statsndata.org
    excel, pdf
    Updated May 2025
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    Stats N Data (2025). Global Alcohol-to-Jet Fuel Market Economic and Social Impact 2025-2032 [Dataset]. https://www.statsndata.org/report/alcohol-to-jet-fuel-market-320554
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    excel, pdfAvailable download formats
    Dataset updated
    May 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Alcohol-to-Jet Fuel market represents a transformative segment within the broader biofuels industry, combining innovative technologies with the pressing need for sustainable aviation fuels. This emerging market revolves around converting alcohols, such as ethanol and butanol, into jet fuel suitable for aviation

  14. t

    EMERGING MARKETS COMMUNICATIONS LLC|Full export Customs Data...

    • tradeindata.com
    Updated Apr 25, 2016
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    tradeindata (2016). EMERGING MARKETS COMMUNICATIONS LLC|Full export Customs Data Records|tradeindata [Dataset]. https://www.tradeindata.com/supplier_detail/?id=9e38376e643b4525fcb28f835801f1b8
    Explore at:
    Dataset updated
    Apr 25, 2016
    Dataset authored and provided by
    tradeindata
    License

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

    Description

    Customs records of are available for EMERGING MARKETS COMMUNICATIONS LLC. Learn about its Importer, supply capabilities and the countries to which it supplies goods

  15. F

    ICE BofA Asia Emerging Markets Corporate Plus Index Semi-Annual Yield to...

    • fred.stlouisfed.org
    json
    Updated Jun 13, 2025
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    (2025). ICE BofA Asia Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst [Dataset]. https://fred.stlouisfed.org/series/BAMLEMRACRPIASIASYTW
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    jsonAvailable download formats
    Dataset updated
    Jun 13, 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 Asia Emerging Markets Corporate Plus Index Semi-Annual Yield to Worst (BAMLEMRACRPIASIASYTW) from 1998-12-31 to 2025-06-12 about YTW, Asia, sub-index, emerging markets, and corporate.

  16. i

    Grant Giving Statistics for Emerging Markets Investors Alliance Inc.

    • instrumentl.com
    Updated Sep 16, 2021
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    (2021). Grant Giving Statistics for Emerging Markets Investors Alliance Inc. [Dataset]. https://www.instrumentl.com/990-report/emerging-markets-investors-alliance-inc
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    Dataset updated
    Sep 16, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Emerging Markets Investors Alliance Inc.

  17. T

    United States - ICE BofA High Grade US Emerging Markets Liquid Corporate...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 25, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - ICE BofA High Grade US Emerging Markets Liquid Corporate Plus Index Effective Yield [Dataset]. https://tradingeconomics.com/united-states/bofa-merrill-lynch-high-grade-us-emerging-markets-liquid-corporate-plus-sub-index-effective-yield-fed-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Feb 25, 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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - ICE BofA High Grade US Emerging Markets Liquid Corporate Plus Index Effective Yield was 5.06% in July of 2025, according to the United States Federal Reserve. Historically, United States - ICE BofA High Grade US Emerging Markets Liquid Corporate Plus Index Effective Yield reached a record high of 11.08 in October of 2008 and a record low of 2.20 in December of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - ICE BofA High Grade US Emerging Markets Liquid Corporate Plus Index Effective Yield - last updated from the United States Federal Reserve on July of 2025.

  18. Largest emerging markets worldwide in 2019, by insurance density

    • statista.com
    Updated Nov 1, 2024
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    Statista (2024). Largest emerging markets worldwide in 2019, by insurance density [Dataset]. https://www.statista.com/statistics/276068/insurance-penetration-in-selected-emerging-countries-worldwide/
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    Dataset updated
    Nov 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    In 2019, insurance premiums amounted to 1,963 U.S. dollars per capita in the Bahamas. Insurance density is used as an indicator for the development of insurance within a country and is calculated as ratio of total insurance premiums to whole population of a given country.

    Insurance density in selected emerging countries

    The insurance industry is an industry that has the ability to make significant financial contributions to a national economy. It contributes to the formation of national income by creating value added through the provision of indemnity and in its role as an institutional investor. As a country develops and its gross domestic product rises, the demand for insurance increases significantly as the macro-economic focus begins to shift or deviate from its earlier incarnation. A result of this sort of change, especially in a developing country, is often a rise in the level of disposable income. As income increases so does the rate of consumption and the level of affluence, this can have a direct effect on population development, density and urbanization, this, in turn, has inevitable sociocultural repercussions and an increased sense of risk aversion.

    The future of the Bahamian insurance sector

    Some economists make the case for the interrelation of insurance sector growth and economic development: economic growth leads to a rise in the demand for insurance; the growth of the insurance industry induces economic growth. The GDP in the Bahamas is forecast to continue its climb until at least 2024. The population is also set to grow over the next few years.

  19. P

    Public Opinion Analysis System Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 22, 2025
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    Data Insights Market (2025). Public Opinion Analysis System Report [Dataset]. https://www.datainsightsmarket.com/reports/public-opinion-analysis-system-1934278
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Public Opinion Analysis System market is experiencing robust growth, projected to reach $3.544 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 17.2% from 2025 to 2033. This expansion is driven by several key factors. Increasing political polarization and the need for real-time sentiment analysis across diverse media channels (social media, news articles, online forums) are creating high demand for sophisticated systems. Furthermore, the growing sophistication of these systems, incorporating AI and machine learning for improved accuracy and efficiency, is accelerating adoption across various sectors, including government, marketing, and public relations. The competitive landscape is fragmented, with companies like Xalted, Knowlesys, Graphen, Surfilter, and several others vying for market share. These companies are constantly innovating, integrating new technologies, and expanding their service offerings to meet evolving client needs and maintain a competitive edge. Geographical expansion, particularly into emerging markets with rapidly growing internet penetration and social media usage, represents a significant opportunity for future growth. However, challenges remain, including data privacy concerns, the potential for biased algorithms, and the need for robust data security measures. Addressing these concerns will be crucial for sustained market growth. The forecast period (2025-2033) anticipates continued growth, driven by further technological advancements, increasing data availability, and broader industry adoption. While the precise regional breakdown is unavailable, it's reasonable to assume that North America and Europe will initially hold significant market share due to established technological infrastructure and higher adoption rates. However, Asia-Pacific is expected to experience rapid growth in the forecast period, driven by increasing internet and smartphone penetration in developing economies. The focus will likely shift towards advanced analytics, predictive modeling, and integration with other business intelligence tools. The market is expected to mature, leading to potential consolidation among market players through mergers and acquisitions. This consolidation will drive innovation and efficiency, while simultaneously potentially impacting pricing strategies within the market.

  20. Big Data IT Spending in Financial Sector Market Report | Global Forecast...

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Big Data IT Spending in Financial Sector Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-big-data-it-spending-in-financial-sector-market
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    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Big Data IT Spending in Financial Sector Market Outlook



    The Big Data IT Spending in the Financial Sector market size was valued at approximately USD 35 billion in 2023 and is projected to reach a staggering USD 90 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 11.5% during the forecast period. This remarkable growth is primarily driven by the increasing demand for efficient data management solutions, the need for advanced analytics in decision-making processes, and the escalating threat of cyber fraud in the financial sector. As financial institutions increasingly digitize their operations, the reliance on big data solutions to enhance customer experience and optimize business processes is becoming indispensable, further propelling market growth.



    One of the primary growth factors in this market is the exponential growth of data generated by financial institutions, which necessitates advanced data management and analytics solutions. Financial institutions are dealing with massive volumes of data from various sources, including transactions, customer interactions, and market data. The need to harness this data for actionable insights is pushing financial institutions to increase their IT spending on big data solutions. Moreover, the competitive landscape of the financial sector demands institutions to leverage data for strategic advantages such as personalized customer experiences, optimized risk management, and fraud detection, thereby contributing to the expansion of this market.



    Another significant driver for market growth is the regulatory environment in the financial sector, which requires institutions to maintain stringent compliance standards. Regulators across the globe are mandating financial institutions to adopt robust data management practices to ensure transparency, data integrity, and security. This has led to an uptick in IT spending as financial institutions invest in advanced compliance solutions that utilize big data analytics to meet regulatory demands efficiently. Furthermore, the growing trend of digitalization in banking and financial services has accentuated the need for real-time data analytics, driving up IT spending in this domain.



    The increasing threat of cyber fraud and security breaches is also a notable growth factor for big data IT spending in the financial sector. Financial institutions are prime targets for cybercriminals due to the sensitive nature of the data they handle. This has necessitated the adoption of advanced cybersecurity solutions powered by big data analytics to detect and mitigate potential threats. The proactive approach towards cyber threat management is compelling financial institutions to enhance their IT infrastructure by investing in sophisticated big data solutions, which in turn fuels the market growth.



    Regionally, North America is expected to maintain a dominant position in the big data IT spending market within the financial sector, owing to the presence of major financial hubs and early adoption of technology. However, the Asia Pacific region is projected to witness the highest growth rate during the forecast period. The increasing penetration of digital banking, coupled with the rapid economic growth in emerging markets, is driving significant investments in big data technologies in this region. European markets are also poised for steady growth, driven by stringent regulatory frameworks and the push toward digital transformation in financial services. Latin America and the Middle East & Africa regions are gradually adopting big data solutions, albeit at a slower pace compared to other regions.



    Component Analysis



    The component segment of the big data IT spending market in the financial sector comprises software, hardware, and services. Software solutions constitute a significant part of the market, primarily because they provide the analytical tools necessary for processing and deriving insights from vast datasets. Financial institutions are increasingly investing in big data analytics software to enhance decision-making processes, improve customer service, and ensure compliance with regulatory standards. The demand for predictive analytics, machine learning, and AI-driven software solutions is particularly high, as these technologies enable banks and financial institutions to forecast market trends, manage risks, and personalize customer interactions.



    Hardware investments are another critical aspect of big data IT spending. Financial institutions require robust and scalable infrastructure to support their data processing and storage needs. Investments in high-performance servers, s

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Statista (2025). National debt of the emerging market in relation to gross domestic product (GDP) 2030 [Dataset]. https://www.statista.com/statistics/805550/national-debt-of-the-emerging-market-and-developing-economies-in-relation-to-gross-domestic-product-gdp/
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National debt of the emerging market in relation to gross domestic product (GDP) 2030

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Dataset updated
May 26, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Laos
Description

This statistic shows the national debt of the emerging market and developing economies from 2020 to 2024 in relation to gross domestic product (GDP), with projections up until 2030. The figures are aggregated and refer to the whole country respectively, and include the debts of the state, the communities, the municipalities and the social insurances. In 2024, the national debt of the emerging market and developing economies amounted to approximately 69.47 percent of GDP.

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