United States New York Stock Exchange: Index: MSCI US Real Estate Index data was reported at 232.090 NA in May 2024. This stayed constant from the previous number of 232.090 NA for Apr 2024. United States New York Stock Exchange: Index: MSCI US Real Estate Index data is updated monthly, averaging 217.340 NA from Dec 2012 (Median) to May 2024, with 138 observations. The data reached an all-time high of 333.710 NA in Dec 2021 and a record low of 159.970 NA in Aug 2013. United States New York Stock Exchange: Index: MSCI US Real Estate 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: MSCI: Monthly.

United States New York Stock Exchange: Index: MSCI US Gross Total Return data was reported at 25,491.880 NA in Apr 2025. This records a decrease from the previous number of 25,623.120 NA for Mar 2025. United States New York Stock Exchange: Index: MSCI US Gross Total Return data is updated monthly, averaging 11,158.379 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 27,650.960 NA in Jan 2025 and a record low of 4,706.759 NA in Jan 2012. United States New York Stock Exchange: Index: MSCI US Gross Total Return 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: MSCI: Monthly.

United States New York Stock Exchange: Index: MSCI US Growth Index Net Total Return data was reported at 24,589.422 NA in Apr 2025. This records an increase from the previous number of 23,991.494 NA for Mar 2025. United States New York Stock Exchange: Index: MSCI US Growth Index Net Total Return data is updated monthly, averaging 8,873.335 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 27,433.036 NA in Jan 2025 and a record low of 3,519.068 NA in Jan 2012. United States New York Stock Exchange: Index: MSCI US Growth Index Net Total Return 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: MSCI: Monthly.

The leading ESG fund in the United States at the beginning of 2025 was Xtrackers MSCI USA Climate Action Equity ETF, with net inflows of over *** billion U.S. dollars. The following two ESG funds with the largest inflows were iShares ESG Aware MSCI USA ETF and iShares ESG Aware MSCI EAFE ETF. In fact, *** out of the most popular sustainable funds in the United States as of first quarter of 2025 were ETFs.

Msci reported $46.02B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Msci | MSCI - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

United States New York Stock Exchange: Index: MSCI US Small Cap Index data was reported at 945.471 NA in Apr 2025. This records a decrease from the previous number of 969.458 NA for Mar 2025. United States New York Stock Exchange: Index: MSCI US Small Cap Index data is updated monthly, averaging 647.487 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 1,145.056 NA in Nov 2024 and a record low of 314.601 NA in May 2012. United States New York Stock Exchange: Index: MSCI US Small Cap 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: MSCI: Monthly.

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.

MSCI World: Where Will it Take Us?

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

United States New York Stock Exchange: Index: MSCI US REIT Index data was reported at 1,271.220 NA in Apr 2025. This records a decrease from the previous number of 1,306.750 NA for Mar 2025. United States New York Stock Exchange: Index: MSCI US REIT Index data is updated monthly, averaging 1,147.546 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 1,577.230 NA in Dec 2021 and a record low of 835.504 NA in Feb 2012. United States New York Stock Exchange: Index: MSCI US REIT 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: MSCI: Monthly.

Msci stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

MSCI World index is predicted to experience a moderate increase. The predicted range for the index is between a slight increase and a significant increase. The risk associated with this prediction is moderate, as there are some factors that could potentially impact the index's performance.

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.

Momentum's Mighty Move: iShares MSCI USA Momentum Factor ETF

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

United States New York Stock Exchange: Index: MSCI US High Dividend Yield Index data was reported at 2,832.712 NA in Apr 2025. This records a decrease from the previous number of 2,968.083 NA for Mar 2025. United States New York Stock Exchange: Index: MSCI US High Dividend Yield Index data is updated monthly, averaging 2,068.302 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 3,068.952 NA in Nov 2024 and a record low of 1,117.129 NA in Jan 2012. United States New York Stock Exchange: Index: MSCI US High Dividend Yield 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: MSCI: Monthly.

Msci - 当前值，历史数据，预测，统计，图表和经济日历 - Jul 2025.Data for Msci including historical, tables and charts were last updated by Trading Economics this last July in 2025.

United States New York Stock Exchange: Index: MSCI US Equal Weighted Net Total Return data was reported at 7,998.899 NA in Mar 2025. This records a decrease from the previous number of 8,332.654 NA for Feb 2025. United States New York Stock Exchange: Index: MSCI US Equal Weighted Net Total Return data is updated monthly, averaging 4,366.247 NA from Jan 2012 (Median) to Mar 2025, with 159 observations. The data reached an all-time high of 8,659.581 NA in Nov 2024 and a record low of 1,948.918 NA in May 2012. United States New York Stock Exchange: Index: MSCI US Equal Weighted Net Total Return 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: MSCI: Monthly.

Msci - Текущие значения, предыдущие значения, прогнозы, графики и экономический календарь - Jul 2025.Data for Msci including historical, tables and charts were last updated by Trading Economics this last July in 2025.

In September 2023, hedge funds in the United States had the largest proportion of exposure coming from assets allocated to information technology, with an exposure rate of 11.6 percent. The calculative method of net exposure displays a hedge fund's level of risk in correlation with market fluctuations. A lower level of net exposure communicated to investors worldwide a lower level of sensitivity to market fluctuations.

New York Stock Exchange: Index: MSCI US Large Cap Index data was reported at 3,799.188 NA in Mar 2025. This records a decrease from the previous number of 4,046.567 NA for Feb 2025. New York Stock Exchange: Index: MSCI US Large Cap Index data is updated monthly, averaging 1,782.991 NA from Jan 2012 (Median) to Mar 2025, with 159 observations. The data reached an all-time high of 4,108.842 NA in Jan 2025 and a record low of 861.990 NA in Jan 2012. New York Stock Exchange: Index: MSCI US Large Cap 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: MSCI: Monthly.

According to an analysis conducted in June 2020, around 83 percent of equity exchange traded funds (ETFs) presented as being sustainable had some exposure to fossil fuels. Of these, the environmental, social and governance (ESG) ETF with the highest investment in fossil fuels was the iShares ESG MSCI U.S.A. ETF, with 459 million U.S. dollars of their total assets under management being 'dirty.' While ESG is a broad concept which arguably does have space for investments in fossil fuels, some of the funds included in the list have names that seem to imply they do not hold dirty assets. For example, the iShares Global Clean Energy ETF held 46.07 million U.S. dollars of assets exposed to fossil fuels at this time.

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.

Currency Hedge: An Investment Safe Haven for the Global Market? (iShares Currency Hedged MSCI ACWI ex U.S. ETF)

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

The total equity of Msci Inc. with headquarters in the United States amounted to -940 million U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total decrease by approximately 496.77 million U.S. dollars. The trend from 2020 to 2024 shows, however, that this decrease did not happen continuously.