100+ datasets found
  1. United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs

    • ceicdata.com
    Updated Apr 17, 2018
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    CEICdata.com (2018). United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs [Dataset]. https://www.ceicdata.com/en/united-states/treasury-bills-rates-forecast-federal-reserve-bank-of-philadelphia/frbop-forecast-annual-stock-return-mean-next-10-yrs
    Explore at:
    Dataset updated
    Apr 17, 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, 2007 - Dec 1, 2018
    Area covered
    United States
    Description

    United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs data was reported at 5.482 % in 2018. This records a decrease from the previous number of 5.599 % for 2017. United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs data is updated yearly, averaging 7.461 % from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 9.608 % in 1992 and a record low of 5.337 % in 2016. United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.M006: Treasury Bills Rates: Forecast: Federal Reserve Bank of Philadelphia.

  2. D

    Stock Analysis Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    + more versions
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    Dataintelo (2025). Stock Analysis Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-stock-analysis-software-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    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

    Stock Analysis Software Market Outlook




    The global stock analysis software market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.5% during the forecast period. The growth of this market is driven by the increasing adoption of advanced analytics tools by individual investors and financial institutions to make informed investment decisions. The rising demand for automated trading systems and the integration of artificial intelligence (AI) and machine learning (ML) in stock analysis software are significant growth factors contributing to the market expansion.




    One of the primary growth factors for the stock analysis software market is the increasing complexity and volume of financial data. With the exponential growth of data from various sources such as social media, news articles, and financial statements, investors and financial analysts require sophisticated tools to process and interpret this information accurately. Stock analysis software equipped with AI and ML algorithms can analyze vast datasets in real-time, providing valuable insights and predictive analytics that enhance investment strategies. Moreover, the growing trend of algorithmic trading, which relies heavily on high-speed data processing and automated decision-making, is further propelling the market growth.




    Another crucial growth driver is the rising awareness and adoption of stock analysis software among individual investors. As more individuals seek to actively manage their investment portfolios, there is a growing demand for user-friendly and cost-effective stock analysis tools that offer comprehensive market analysis, technical indicators, and personalized investment recommendations. The proliferation of mobile applications and the increasing accessibility of cloud-based stock analysis solutions have made it easier for retail investors to access advanced analytical tools, thereby contributing to market expansion.




    The integration of innovative technologies such as natural language processing (NLP) and sentiment analysis into stock analysis software is also a significant growth factor. These technologies enable the software to interpret and analyze unstructured data from news articles, social media, and other textual sources to gauge market sentiment and predict stock price movements. This capability is particularly valuable in today's fast-paced financial markets, where sentiment and news events can have a substantial impact on stock prices. The continuous advancements in AI and NLP technologies are expected to drive further innovations and improvements in stock analysis software, thereby boosting market growth.



    In the evolving landscape of financial technology, Investor Relations Tools have become indispensable for companies seeking to maintain transparent and effective communication with their stakeholders. These tools facilitate seamless interaction between companies and their investors, providing real-time updates, financial reports, and strategic insights. By leveraging these tools, companies can enhance their investor engagement strategies, build trust, and foster long-term relationships with their shareholders. The integration of advanced analytics and AI-driven insights into Investor Relations Tools further empowers companies to tailor their communication strategies, ensuring that they meet the diverse needs of their investor base. As the demand for transparency and accountability in financial markets continues to grow, the adoption of sophisticated Investor Relations Tools is expected to rise, playing a crucial role in the broader ecosystem of stock analysis software.




    From a regional perspective, North America is anticipated to hold the largest market share due to the high concentration of financial institutions, brokerage firms, and individual investors in the region. The presence of key market players and the early adoption of advanced technologies also contribute to the dominant position of North America in the global stock analysis software market. Additionally, the Asia Pacific region is expected to witness significant growth during the forecast period, driven by the increasing number of retail investors, rapid economic development, and the growing financial markets in countries such as China and India.



    Component Analysis



  3. M

    Exxon - 41 Year Stock Price History | XOM

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Exxon - 41 Year Stock Price History | XOM [Dataset]. https://www.macrotrends.net/stocks/charts/XOM/exxon/stock-price-history
    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
    2010 - 2025
    Area covered
    United States
    Description

    The latest closing stock price for Exxon as of June 27, 2025 is 109.38. An investor who bought $1,000 worth of Exxon stock at the IPO in 1984 would have $41,833 today, roughly 42 times their original investment - a 9.60% compound annual growth rate over 41 years. The all-time high Exxon stock closing price was 122.12 on October 07, 2024. The Exxon 52-week high stock price is 126.34, which is 15.5% above the current share price. The Exxon 52-week low stock price is 97.80, which is 10.6% below the current share price. The average Exxon stock price for the last 52 weeks is 112.58. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  4. U

    United States FRBOP Forecast: Annual Stock Return: Median: Next 10 Yrs

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). United States FRBOP Forecast: Annual Stock Return: Median: Next 10 Yrs [Dataset]. https://www.ceicdata.com/en/united-states/treasury-bills-rates-forecast-federal-reserve-bank-of-philadelphia/frbop-forecast-annual-stock-return-median-next-10-yrs
    Explore at:
    Dataset updated
    Mar 15, 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, 2018
    Area covered
    United States
    Description

    United States FRBOP Forecast: Annual Stock Return: Median: Next 10 Yrs data was reported at 6.000 % in 2018. This stayed constant from the previous number of 6.000 % for 2017. United States FRBOP Forecast: Annual Stock Return: Median: Next 10 Yrs data is updated yearly, averaging 7.250 % from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 10.000 % in 1994 and a record low of 5.365 % in 2016. United States FRBOP Forecast: Annual Stock Return: Median: Next 10 Yrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s United States – Table US.M006: Treasury Bills Rates: Forecast: Federal Reserve Bank of Philadelphia.

  5. F

    Volatility of Stock Price Index for Oman

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
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    (2024). Volatility of Stock Price Index for Oman [Dataset]. https://fred.stlouisfed.org/series/DDSM01OMA066NWDB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 7, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Oman
    Description

    Graph and download economic data for Volatility of Stock Price Index for Oman (DDSM01OMA066NWDB) from 1992 to 2021 about Oman, volatility, stocks, price index, indexes, and price.

  6. c

    The global stock market size is USD 3645.2 million in 2024.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jun 6, 2025
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    Cognitive Market Research (2025). The global stock market size is USD 3645.2 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/stock-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global stock market size will be USD 3645.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 13% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 1458.1 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1093.6 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 838.4 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 182.3 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.4% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 72.9 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.7% from 2024 to 2031.
    The broker end users held the highest stock market revenue share in 2024.
    

    Market Dynamics of Stock Market

    Key Drivers for the Stock Market

    Rising Demand for Real-Time Data and Analytics to be an Emerging Market Trend
    

    The increasing need for real-time data and advanced analytics is a significant driver in the stock trading and investing market growth. Investors and traders require up-to-the-minute information on stock prices, market trends, and financial news to make informed decisions quickly. As financial markets become more dynamic and competitive, the ability to access and analyze real-time data becomes crucial for success. Trading applications that offer real-time updates, advanced charting tools, and detailed analytics provide users with a competitive edge by enabling them to react swiftly to market movements. This heightened demand for real-time insights fuels the development and adoption of sophisticated trading platforms that cater to both professional traders and retail investors seeking to maximize their investment opportunities.

    Increasing Adoption of Mobile Trading Platforms to Boost Market Growth
    

    The rapid adoption of mobile trading platforms is another key driver for the stock market expansion. With the proliferation of smartphones and mobile internet access, investors are increasingly favoring mobile platforms for their trading activities due to their convenience and accessibility. Mobile trading apps offer users the ability to trade, monitor portfolios, and access financial information on the go, which appeals to both active traders and casual investors. This shift towards mobile platforms is supported by innovations in-app functionality, user experience, and security features. As more investors seek flexibility and real-time engagement with their investments, the demand for sophisticated and user-friendly mobile trading applications continues to rise, propelling market growth.

    Restraint Factor for the Stock Market

    Stringent Rules and Regulations to Impede the Adoption of Online Trading Platforms
    

    Regulatory compliance and legal challenges are major restraints for the stock trading and investing market share. The financial industry is heavily regulated, with strict rules governing trading practices, data protection, and financial disclosures. Compliance with these regulations requires substantial investment in legal expertise, technology, and administrative processes. Changes in regulations can also introduce uncertainty and additional compliance costs for application providers. For example, regulations such as the Markets in Financial Instruments Directive II (MiFID II) in Europe and the Dodd-Frank Act in the U.S. impose stringent requirements on trading practices and transparency. Failure to adhere to these regulations can result in legal penalties and damage to a company’s reputation, which can inhibit market growth and innovation in trading applications.

    Market Volatility and Investor Uncertainty
    
    The stock market is highly sensitive to global economic conditions, geopolitical tensions, interest rate fluctuations, and unexpected events (such as pandemics or wars). This inherent volatility can lead to sharp declines in investor confidence and capital outflows, especially among retai...
    
  7. Annual stock market returns in major developed and emerging economies...

    • statista.com
    Updated Sep 25, 2023
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    Statista (2023). Annual stock market returns in major developed and emerging economies 2006-2020 [Dataset]. https://www.statista.com/statistics/1035972/annual-returns-share-price-indexes-major-developed-emerging-economies/
    Explore at:
    Dataset updated
    Sep 25, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Using the MSCI emerging markets index, stock markets in emerging economies performed above those of developed economies in 2020, with an annual return of 18.31 percent. This compares to a 2020 annual return of 15.9 percent for the MSCI World Index, which tracks the stock markets of 23 developed economies.

  8. M

    OFS Capital - 13 Year Stock Price History | OFS

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). OFS Capital - 13 Year Stock Price History | OFS [Dataset]. https://www.macrotrends.net/stocks/charts/OFS/ofs-capital/stock-price-history
    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
    2010 - 2025
    Area covered
    United States
    Description

    The latest closing stock price for OFS Capital as of June 20, 2025 is 8.58. An investor who bought $1,000 worth of OFS Capital stock at the IPO in 2012 would have $1,613 today, roughly 2 times their original investment - a 7.67% compound annual growth rate over 13 years. The all-time high OFS Capital stock closing price was 9.63 on January 23, 2024. The OFS Capital 52-week high stock price is 9.80, which is 14.2% above the current share price. The OFS Capital 52-week low stock price is 7.75, which is 9.7% below the current share price. The average OFS Capital stock price for the last 52 weeks is 8.43. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  9. F

    Volatility of Stock Price Index for Jamaica

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
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    (2024). Volatility of Stock Price Index for Jamaica [Dataset]. https://fred.stlouisfed.org/series/DDSM01JMA066NWDB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 7, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Jamaica
    Description

    Graph and download economic data for Volatility of Stock Price Index for Jamaica (DDSM01JMA066NWDB) from 1990 to 2021 about Jamaica, volatility, stocks, price index, indexes, and price.

  10. Indonesia ID: Average Productive Capital Stocks: Over the Year: Growth

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Indonesia ID: Average Productive Capital Stocks: Over the Year: Growth [Dataset]. https://www.ceicdata.com/en/indonesia/gdp-potential-output-and-output-gap-forecast-non-oecd-member-annual/id-average-productive-capital-stocks-over-the-year-growth
    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, 2014 - Dec 1, 2025
    Area covered
    Indonesia
    Variables measured
    Gross Domestic Product
    Description

    Indonesia ID: Average Productive Capital Stocks: Over the Year: Growth data was reported at 4.374 % in 2025. This records an increase from the previous number of 4.090 % for 2024. Indonesia ID: Average Productive Capital Stocks: Over the Year: Growth data is updated yearly, averaging 4.306 % from Dec 1991 (Median) to 2025, with 35 observations. The data reached an all-time high of 6.688 % in 1997 and a record low of 1.911 % in 2000. Indonesia ID: Average Productive Capital Stocks: Over the Year: Growth data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Indonesia – Table ID.OECD.EO: GDP: Potential Output and Output Gap: Forecast: Non OECD Member: Annual. KTPV_AV_ANNPCT - Productive capital stock, volume, annual average, growth

  11. F

    Price Level of the Capital Stock for Angola

    • fred.stlouisfed.org
    json
    Updated Feb 27, 2023
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    (2023). Price Level of the Capital Stock for Angola [Dataset]. https://fred.stlouisfed.org/series/PLKCPPAOA670NRUG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 27, 2023
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Angola
    Description

    Graph and download economic data for Price Level of the Capital Stock for Angola (PLKCPPAOA670NRUG) from 1974 to 2019 about Angola, stocks, capital, and price.

  12. d

    Fundamental Data and Financial Statement API

    • datarade.ai
    .json, .csv, .xls
    Updated Sep 16, 2021
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    Financial Modeling Prep (2021). Fundamental Data and Financial Statement API [Dataset]. https://datarade.ai/data-products/fundamental-data-and-financial-statement-api-financial-modeling-prep
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 16, 2021
    Dataset authored and provided by
    Financial Modeling Prep
    Area covered
    United States of America, Germany, France, India, Canada, Hong Kong
    Description

    We deliver via API access to Companies Financial statements, Insider transaction, Stock Ownership and all information relative to Stock Fundamental

    Here is the extensive list of all the information that you can access via our API:

    STOCK FUNDAMENTALS

    Financial Statements Annual/Quarter Financial Statements As Reported International Filings Annual/Quarter Quarterly Earnings Reports Shares Float SEC RSS Feeds Real-time SEC Filings Rss feed 8K (Important Events)

    STOCK FUNDAMENTALS ANALYSIS

    Financial Ratios Annual/Quarter Enterprise Value Annual/Quarter Financial Statements Growth Annual Key Metrics Annual/Quarter Financial Growth Annual/Quarter Rating Daily DCF Real-time

    STOCK CALENDARS

    Earnings Calendar Popular IPO Calendar Stock Split Calendar Dividend Calendar Economic Calendar

    COMPANY INFORMATION

    Profile Minute Key Executives Market Capitalization Daily Company Outlook New Stock Peers

  13. Dow Jones: annual change in closing prices 1915-2021

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Dow Jones: annual change in closing prices 1915-2021 [Dataset]. https://www.statista.com/statistics/1317023/dow-jones-annual-change-historical/
    Explore at:
    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) is a stock market index used to analyze trends in the stock market. While many economists prefer to use other, market-weighted indices (the DJIA is price-weighted) as they are perceived to be more representative of the overall market, the Dow Jones remains one of the most commonly-used indices today, and its longevity allows for historical events and long-term trends to be analyzed over extended periods of time. Average changes in yearly closing prices, for example, shows how markets developed year on year. Figures were more sporadic in early years, but the impact of major events can be observed throughout. For example, the occasions where a decrease of more than 25 percent was observed each coincided with a major recession; these include the Post-WWI Recession in 1920, the Great Depression in 1929, the Recession of 1937-38, the 1973-75 Recession, and the Great Recession in 2008.

  14. c

    North American stock market size will be USD 1458.1 million in 2024.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Aug 15, 2023
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    Cognitive Market Research (2023). North American stock market size will be USD 1458.1 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/regional-analysis/north-america-stock-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Aug 15, 2023
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Region, United States
    Description

    North American stock market size is USD 1458.1 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2% from 2024 to 2031. North America has emerged as a prominent participant, and its sales revenue is estimated to reach USD 3310.2 million by 2031. The biggest companies in this market, like ETNA, EffectiveSoft Ltd, Artezio LLC, TD Ameritrade Holding Corporation, Chetu Inc., and others, are primarily responsible for the regional growth.

  15. f

    Comparison of the annual returns and returns per transaction of our method...

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Jinho Lee; Jaewoo Kang (2023). Comparison of the annual returns and returns per transaction of our method and those of the baseline. [Dataset]. http://doi.org/10.1371/journal.pone.0230635.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jinho Lee; Jaewoo Kang
    License

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

    Description

    The columns Return, TR, Long, and perTR list the annual returns in percentage, the number of transactions per year, the Long to Short position ratio, and the returns per transaction, respectively. The results are averaged over the entire test period.

  16. f

    PEAD: Whatever stock price jumps.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Dec 22, 2023
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    Qin Pan; Kai Huang (2023). PEAD: Whatever stock price jumps. [Dataset]. http://doi.org/10.1371/journal.pone.0296394.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 22, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Qin Pan; Kai Huang
    License

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

    Description

    We investigate the robustness of earnings surprise measures in the context of a revised market reaction. While existing literature suggests that financial anomalies may distort cumulative abnormal returns (CAR) during annual announcements, our research proves that a revised market reaction offers a more accurate reflection of investor reactions to earnings correction. Specifically, we introduce an innovative adjustment to CAR using stock price jumps, and prove that the fraction of misses on the same side (FOM) provides a superior measure of earnings surprises. Furthermore, we find that investor trading patterns align with FOM, and the post-earnings announcement drift (PEAD) strategy based on FOM outperforms that based on analysts’ forecast error.

  17. Annual average share price of Hermès 2012-2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Annual average share price of Hermès 2012-2023 [Dataset]. https://www.statista.com/statistics/788568/hermes-average-annual-share-price/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, France
    Description

    This statistic highlights the average annual price per Hermès share between 2012 and 2023, in euros. Since 2014, the average share price rose steadily, exceeding an amount of ***** euros for the 2023 financial year.During the same period, the turnover also changed positively, reaching **** billion euros in 2023.

  18. Annual returns of Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Annual returns of Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/1330833/nasdaq-100-index-annual-returns/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of ****** percent, while the largest returns were registered in 1999, at ****** percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at ** percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, ***** was the largest company on the Nasdaq 100, with a market capitalization of **** trillion euros. Also, ****************************************** were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.

  19. M

    CXApp - 4 Year Stock Price History | CXAI

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). CXApp - 4 Year Stock Price History | CXAI [Dataset]. https://www.macrotrends.net/stocks/charts/CXAI/cxapp/stock-price-history
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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
    2010 - 2025
    Area covered
    United States
    Description

    The latest closing stock price for CXApp as of June 20, 2025 is 0.91. An investor who bought $1,000 worth of CXApp stock at the IPO in 2021 would have $-912 today, roughly -1 times their original investment - a -45.59% compound annual growth rate over 4 years. The all-time high CXApp stock closing price was 13.85 on April 14, 2023. The CXApp 52-week high stock price is 3.76, which is 313.2% above the current share price. The CXApp 52-week low stock price is 0.76, which is 16.5% below the current share price. The average CXApp stock price for the last 52 weeks is 1.57. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

  20. T

    United Kingdom - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 3, 2017
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    TRADING ECONOMICS (2017). United Kingdom - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/united-kingdom/stock-market-return-percent-year-on-year-wb-data.html
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jul 3, 2017
    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 Kingdom
    Description

    Stock market return (%, year-on-year) in United Kingdom was reported at 14.38 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. United Kingdom - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

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CEICdata.com (2018). United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs [Dataset]. https://www.ceicdata.com/en/united-states/treasury-bills-rates-forecast-federal-reserve-bank-of-philadelphia/frbop-forecast-annual-stock-return-mean-next-10-yrs
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United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs

Explore at:
Dataset updated
Apr 17, 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, 2007 - Dec 1, 2018
Area covered
United States
Description

United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs data was reported at 5.482 % in 2018. This records a decrease from the previous number of 5.599 % for 2017. United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs data is updated yearly, averaging 7.461 % from Dec 1992 (Median) to 2018, with 27 observations. The data reached an all-time high of 9.608 % in 1992 and a record low of 5.337 % in 2016. United States FRBOP Forecast: Annual Stock Return: Mean: Next 10 Yrs data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.M006: Treasury Bills Rates: Forecast: Federal Reserve Bank of Philadelphia.

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