Euro Area's main stock market index, the EU50, rose to 5428 points on June 6, 2025, gaining 0.39% from the previous session. Over the past month, the index has climbed 3.78% and is up 7.45% 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 June of 2025.

Prices for Euro Area Stock Market Index (EU600) including live quotes, historical charts and news. Euro Area Stock Market Index (EU600) was last updated by Trading Economics this June 5 of 2025.

While nearly every country in Europe has a stock exchange, only five are considered major, and have a market capital of over one trillion U.S dollars. European stock exchanges make up two of the top ten global major stock markets. Europe’s biggest stock exchange is the Euronext which combines five markets based in Amsterdam, Brussels, Dublin, Lisbon, London, Oslo and Paris. Euronext The Euronext Stock Exchange saw a significant increase in total market capitalization between 2021 and 2022, before increasing again during 2023. As of March 2024, the luxury goods company LVMH Moët Hennessy Louis Vuitton was the largest company listed on the Euronext Stock Exchange in terms of market capitalization. Globally, the Euronext Stock Exchange is the fourth largest. London Stock Exchange The London Stock Exchange (LSE) was the second largest stock exchange in Europe and ninth globally in terms of market capitalization of domestic listed companies. As of May 2024, there were 1,775 companies trading on the LSE with the LSE's combined market capitalization amounting to approximately 3.86 trillion British pounds during the same period.

End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

Prices for Euro Area Stock Market Index (EU350) including live quotes, historical charts and news. Euro Area Stock Market Index (EU350) was last updated by Trading Economics this June 8 of 2025.

Euro Stoxx 50 is the index designed by STOXX, a globally operating index provider headquartered in Zurich, Switzerland, which in turn is owned by Deutsche Börse Group. This index provides the broad representation of the Eurozone blue chips performance. Blue chips are corporations known on the European market for quality, reliability and the ability to operate profitably both in good and bad economic times.
Development of the Euro Stoxx 50 index The year-end value of the Euro Stoxx 50 peaked in 1999, with 4,904.46 index points. It noted significant decrease between 1999 and 2002, then an increase to 4,399.72 in 2007, prior to the global recession. Since the very sharp decline in 2008, there was a tentative increase, never yet reaching the pre-recession levels. As of the end of 2021, the Euro Stoxx 50 index was getting close to its historical heights, reaching 4,298.41 points, its highest position post recession, before falling again in 2022. In 2023 and 2024, the index rose again, reaching 4,862.28 points. Some of the following reputable companies formed the Euro Stoxx 50 index: Adidas, Airbus Group, Allianz, BMW, BNP Paribas, L'Oréal, ING Group NV, Nokia, Phillips, Siemens, Société Générale SA or Volkswagen Group.
European financial stock exchange indices Other European indices include the DAX (Deutscher Aktienindex) index and the FTSE 100 (Financial times Stock Exchange 100 index). FTSE, informally known as the “Footsie”, is a share index of the 100 companies listed on the London Stock Exchange with the highest market capitalization. The Index, which began in January 1984 with the base level of 1,000, reached 7,733.24 at the closing of 2023. More in-depth information can be found in the report on stock market indices.

Since January 2015, the MSCI Europe Index has fluctuated, dropping significantly following the beginning of the COVID-19 pandemic. In March 2020, the index dropped to 1,341.52 points. After that, the MSCI Europe index increased in the following months, peaking at over 2,000 points at the end of December 2021. Since then, the index has fluctuated significantly and reached a value of 2,215.04 as of February 2025. The MSCI Europe Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices in the region. It includes stocks from developed countries and is regarded as a benchmark of the European stock market.

Graph and download economic data for Financial Market: Share Prices for Euro Area (19 Countries) (SPASTT01EZQ661N) from Q1 1987 to Q1 2025 about Euro Area, stock market, and Europe.

Graph and download economic data for Financial Market: Share Prices for Euro Area (19 Countries) (SPASTT01EZA661N) from 1987 to 2024 about Euro Area, stock market, and Europe.

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.

European Metals (EMH) Stock: A Rare Earth Play for the Future

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

New York Stock Exchange: Index: S&P Europe 350 data was reported at 2,181.520 NA in Apr 2025. This records an increase from the previous number of 2,105.980 NA for Mar 2025. New York Stock Exchange: Index: S&P Europe 350 data is updated monthly, averaging 2,048.215 NA from Mar 2024 (Median) to Apr 2025, with 14 observations. The data reached an all-time high of 2,181.520 NA in Apr 2025 and a record low of 1,917.580 NA in Dec 2024. New York Stock Exchange: Index: S&P Europe 350 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: S&P: Monthly.

Shown are also results of independent fit of Tsallis parameter q± to the right (positive returns) and left (negative returns) tail of probability distribution.

Euro Stoxx 50 faces potential short-term downside risks, with high probability of further declines towards medium-term support at 3,500-3,450. However, the index is likely to recover and rally to higher levels in the medium to long term.

Graph and download economic data for Financial Market: Real Effective Exchange Rates: CPI Based for Euro Area (19 Countries) (CCRETT01EZA661N) from 1970 to 2024 about Euro Area, Europe, exchange rate, currency, CPI, manufacturing, real, rate, price index, indexes, and price.

Skewness of price returns for chosen stokcs from WIG 30 stock index.

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.

Euro Stoxx 50 Index: A Barometer of European Economic Health?

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

Germany Frankfurt Stock Exchange: Index: Euro Stoxx data was reported at 541.540 NA in Apr 2025. This records a decrease from the previous number of 542.470 NA for Mar 2025. Germany Frankfurt Stock Exchange: Index: Euro Stoxx data is updated monthly, averaging 407.815 NA from Sep 2017 (Median) to Apr 2025, with 92 observations. The data reached an all-time high of 559.620 NA in Feb 2025 and a record low of 303.180 NA in Mar 2020. Germany Frankfurt Stock Exchange: Index: Euro Stoxx data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Germany – Table DE.EDI.SE: Frankfurt Stock Exchange: Euro Stoxx: Monthly.

The FTSE Europe Equal Opportunities Select Index captures the performance of stocks that tend to promote diversity and inclusion within the workplace.

This paper utilizes data on subjective probabilities to study the impact of the stock market crash of 2008 on households' expectations about the returns on the stock market index. We use data from the Health and Retirement Study that was fielded in February 2008 through February 2009. The effect of the crash is identified from the date of the interview, which is shown to be exogenous to previous stock market expectations. We estimate the effect of the crash on the population average of expected returns, the population average of the uncertainty about returns (subjective standard deviation), and the cross-sectional heterogeneity in expected returns (disagreement). We show estimates from simple reduced-form regressions on probability answers as well as from a more structural model that focuses on the parameters of interest and separates survey noise from relevant heterogeneity. We find a temporary increase in the population average of expectations and uncertainty right after the crash. The effect on cross-sectional heterogeneity is more significant and longer lasting, which implies substantial long-term increase in disagreement. The increase in disagreement is larger among the stockholders, the more informed, and those with higher cognitive capacity, and disagreement co-moves with trading volume and volatility in the market.

Germany's main stock market index, the DE40, fell to 24304 points on June 6, 2025, losing 0.08% from the previous session. Over the past month, the index has climbed 5.14% and is up 30.97% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on June of 2025.