The value of global domestic equity market increased from ***** trillion U.S. dollars in 2013 to ****** trillion U.S. dollars in 2024. The United States was by far the leading country with the largest share of total world stocks as of 2024. Global market capitalization in different regions The market capitalization of domestic companies listed varied across different regions of the world. As of Decmber 2024, the Americas region had the largest domestic equity market, totaling ** trillion U.S. dollars. This region is home to the NYSE and Nasdaq, which are the two largest stock exchange operators in the world. The market capitalization of these two exchanges alone exceeded ** billion U.S. dollars as of January 2025, larger than the total market capitalization in the Asia-Pacific, and in the EMEA regions in the same period. Largest Stock Exchanges in Latin America As of December 2024, the B3 (Brasil Bolsa Balcao) was the biggest stock exchange in Latin America in terms of market capitalization and the second-largest in terms of number of listed companies. Following the B3 were the Mexican Stock Exchange and the Santiago Stock Exchange in Chile. The most valuable company in Latin America is listed on the Mexican Stock Exchange: Fomento Económico Mexicano, a multinational beverage and retail company headquartered in Monterrey, had a market cap of *** billion U.S. dollars as of March 2025.

The average for 2022 based on 75 countries was 1225.97 billion U.S. dollars. The highest value was in the USA: 40297.98 billion U.S. dollars and the lowest value was in Bermuda: 0.21 billion U.S. dollars. The indicator is available from 1975 to 2024. Below is a chart for all countries where data are available.

The main stock market index of United States, the US500, rose to 7126 points on April 17, 2026, gaining 1.20% from the previous session. Over the past month, the index has climbed 7.57% and is up 38.15% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on April of 2026.

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 ** percent of their value compared to January *, 2020. However, Asian markets and the NASDAQ Composite Index only shed around ** to ** 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 ** percent higher than in January 2020, while most other markets were only between ** and ** 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.

Euro Area's main stock market index, the EU50, rose to 6029 points on April 17, 2026, gaining 1.52% from the previous session. Over the past month, the index has climbed 5.09% and is up 21.51% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on April of 2026.

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

France's main stock market index, the FR40, rose to 8425 points on April 17, 2026, gaining 1.97% from the previous session. Over the past month, the index has climbed 5.71% and is up 15.00% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on April of 2026.

Graph and download economic data for Rest of the World; Foreign Direct Investment in U.S.: Equity; Asset (Market Value), Level (BOGZ1FL263092141A) from 1945 to 2025 about FDI, market value, equity, assets, and USA.

New York Stock Exchange: Index: Dow Jones US Select Sector: Insurance Index data was reported at 14,659.070 NA in Mar 2026. This records a decrease from the previous number of 15,401.750 NA for Feb 2026. New York Stock Exchange: Index: Dow Jones US Select Sector: Insurance Index data is updated monthly, averaging 8,043.420 NA from Aug 2013 (Median) to Mar 2026, with 152 observations. The data reached an all-time high of 15,685.120 NA in Mar 2025 and a record low of 4,608.760 NA in Aug 2013. New York Stock Exchange: Index: Dow Jones US Select Sector: Insurance Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.

New York Stock Exchange: Index: Dow Jones Composite Average data was reported at 12,616.180 NA in Apr 2025. This records a decrease from the previous number of 13,127.020 NA for Mar 2025. New York Stock Exchange: Index: Dow Jones Composite Average data is updated monthly, averaging 8,253.500 NA from Jul 2013 (Median) to Apr 2025, with 142 observations. The data reached an all-time high of 14,367.530 NA in Nov 2024 and a record low of 5,021.600 NA in Aug 2013. New York Stock Exchange: Index: Dow Jones Composite Average data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

Israel's main stock market index, the TA-125, rose to 4309 points on April 17, 2026, gaining 1.06% from the previous session. Over the past month, the index has climbed 1.89% and is up 69.76% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on April of 2026.

United States New York Stock Exchange: Index: US 100 Index data was reported at 17,939.870 NA in Mar 2026. This records a decrease from the previous number of 18,934.950 NA for Feb 2026. United States New York Stock Exchange: Index: US 100 Index data is updated monthly, averaging 10,459.400 NA from Jan 2012 (Median) to Mar 2026, with 171 observations. The data reached an all-time high of 18,934.950 NA in Feb 2026 and a record low of 5,695.000 NA in May 2012. United States New York Stock Exchange: Index: US 100 Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Monthly.

Graph and download economic data for Stock Market Total Value Traded to GDP for Thailand (DDDM02THA156NWDB) from 1980 to 2020 about Thailand, market cap, stock market, trade, and GDP.

Shanghai Stock Exchange: Index: A Share Index data was reported at 4,080.900 NA in Mar 2026. This records a decrease from the previous number of 4,365.110 NA for Feb 2026. Shanghai Stock Exchange: Index: A Share Index data is updated monthly, averaging 3,469.430 NA from Nov 2014 (Median) to Mar 2026, with 137 observations. The data reached an all-time high of 4,829.130 NA in May 2015 and a record low of 2,611.380 NA in Dec 2018. Shanghai Stock Exchange: Index: A Share Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s China – Table CN.EDI.SE: Shanghai Stock Exchange: Monthly.

New York Stock Exchange: Index: Dow Jones US Select Sector: Home Construction Index data was reported at 16,412.010 NA in Mar 2026. This records a decrease from the previous number of 19,481.350 NA for Feb 2026. New York Stock Exchange: Index: Dow Jones US Select Sector: Home Construction Index data is updated monthly, averaging 8,121.770 NA from Aug 2013 (Median) to Mar 2026, with 152 observations. The data reached an all-time high of 22,747.730 NA in Sep 2024 and a record low of 3,670.900 NA in Aug 2013. New York Stock Exchange: Index: Dow Jones US Select Sector: Home Construction Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.

Key information about Bosnia and Herzegovina Sarajevo Stock Exchange Index (SASX-10)

• Bosnia and Herzegovina Sarajevo Stock Exchange Index (SASX-10) closed at 1,579.6 points in Mar 2026, compared with 1,558.7 points at the previous month end
• Bosnia and Herzegovina Equity Market Index: Month End: Sarajevo Stock Exchange Index (SASX-10) data is updated monthly, available from Jan 2006 to Mar 2026, with an average number of 671.5 points
• The data reached an all-time high of 5,091.6 points in Mar 2007 and a record low of 562.5 points in Dec 2017

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

CACI CACI International Inc. Class A Common Stock

Financial data:

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

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

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

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

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

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

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

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

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

• Data cleaning and preprocessing are essential before model training

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

TSE: C: Average: EPS: PM: Wholesale Trade data was reported at 201.590 JPY in Mar 2026. This records a decrease from the previous number of 215.420 JPY for Feb 2026. TSE: C: Average: EPS: PM: Wholesale Trade data is updated monthly, averaging 244.330 JPY from Apr 2022 (Median) to Mar 2026, with 48 observations. The data reached an all-time high of 258.160 JPY in Oct 2023 and a record low of 140.490 JPY in May 2022. TSE: C: Average: EPS: PM: Wholesale Trade data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Earnings per Share and Shareholders Equity per Share.

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

MDLZ Mondelez International Inc. Class A Common Stock

Financial data:

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

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

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

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

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

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

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

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

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

• Data cleaning and preprocessing are essential before model training

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