The statistic shows the development of the MSCI World USD Index from 1986 to 2024. The 2024 year-end value of the MSCI World USD index amounted to ******** points. MSCI World USD index – additional information The MSCI World Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices. It includes stocks from developed countries all over the world and is regarded as benchmark of global stock market. According to MSCI, this index covers about ** percent of the free float-adjusted market capitalization in each country. As seen on the statistics above, in 2024, MSCI World USD index reported its highest value since 1986 amounting, a threefold increase from the figure recorded in 2013, when the year-end value of the MSCI World index was equal to ********. Along with the S&P Global Broad Market, the MSCI World is one of the most important global stock market performance indexes. Aside of including markets around the globe, these two indexes are global in a sense that they disregard where the companies are domiciled or traded, whereas other important indexes such as the Dow Jones Industrial Average, the Japanese index Nikkei 225, Wilshire 5000, the NASDAQ 100 index, have different approaches.

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 Index Forecast: Mixed Outlook

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

Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

The Dow Jones Best-in-Class World Index reached a new high of 2,418.05 points at the end of 2024, continuing its upward trajectory since 2010. This milestone reflects the resilience of global markets despite recent economic challenges.

The average for 2024 based on 138 countries was 5.56 points. The highest value was in Finland: 7.74 points and the lowest value was in Afghanistan: 1.72 points. The indicator is available from 2013 to 2024. Below is a chart for all countries where data are available.

Singapore led the Index of Economic Freedom in 2024, with an index score of 83.5 out of 100. Switzerland, Ireland, Taiwan, and Luxembourg rounded out the top five. Economic Freedom Index In order to calculate the Economic Freedom Index, the source takes 12 different factors into account, including the rule of law, government size, regulatory efficiency, and open markets. All 12 factors are rated on a scale of zero to 100 and are weighted equally. Every country is rated within the Index in order to provide insight into the health and freedom of the global economy. Singapore's economy Singapore is one of the four so-called Asian Tigers, a term used to describe four countries in Asia that saw a booming economic development from the 1950s to the early 1990. Today, the City-State is known for its many skyscrapers, and its economy continue to boom. It has one of the lowest tax-rates in the Asia-Pacific region, and continues to be open towards foreign direct investment (FDI). Moreover, Singapore has one of the highest trade-to-GDP ratios worldwide, underlining its export-oriented economy. Finally, its geographic location has given it a strategic position as a center connecting other countries in the region with the outside world. However, the economic boom has come at a cost, with the city now ranked among the world's most expensive.

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The average for 2024 based on 48 countries was 6.62 points. The highest value was in Finland: 7.74 points and the lowest value was in Hong Kong: 5.32 points. The indicator is available from 2013 to 2024. Below is a chart for all countries where data are available.

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 Index: Global Pathfinder or Market Mirage?

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

Graph and download economic data for World Uncertainty Index for United States (WUIUSA) from Q1 1952 to Q1 2025 about uncertainty, World, indexes, and USA.

Switzerland ranks the highest on the Global Retirement Index in 2024, with an index score of ** percent. For instance, the country scores high on the health and quality of life sub-indexes. Norway follows in second with an index score of ** percent, with Iceland following in third.

Singapore was the leading country in the Globalization Index 2023 in the field of economic globalization. The 2023 edition of the index uses data from the year 2021. Belgium and the Netherlands followed in the places behind.

The era of globalization

The beginning of the current era of increasing economic globalization was signaled by the creation of the Bretton Woods institutions toward the end of the Second World War. These institutions acted as the foundation for the International Monetary Fund, World Bank and World Trade Organization. The institutions, and their modern equivalents, sought to reduce the barriers on international trade in goods, services and capital markets. In the decades following their inception international trade has skyrocketed to become a cornerstone of the international economy, as demonstrated by trends in global export volume of trade in goods from 1950. Economic globalization
Countries that are perceived as more economically globalized are those with low tariffs on imports, more free-trade agreements, regulation that accommodates foreign investment and lower non-tariff barriers to trade such as safety regulations on imports. However, economic globalization fails to capture the entire picture in regards to globalization processes and their impact on countries. As such, analysts have placed attention on the social and political effects on globalization as seen in the index for social globalization and index for political organization. To see the combined results of the multiple globalization indexes see the Top 100 countries in the Globalization Index.

Trends in House price index. The latest data for over 100 countries around the world.

Graph and download economic data for World Uncertainty Index: Global: Simple Average (WUIGLOBALSMPAVG) from Q1 1990 to Q1 2025 about uncertainty, World, average, and indexes.

In 2024, Sudan was ranked as the most miserable country in the world, with a misery index score of 374.8. Argentina ranked second with an index score of 195.9. Quality of life around the worldThe misery index was created by the economist Arthur Okun in the 1960s. The index is calculated by adding the unemployment rate, the lending rate and the inflation rate minus percent change of GDP per capita. Another famous tool used for the comparison of development of countries around the world is the Human Development Index, which takes into account such factors as life expectancy at birth, literacy rate, education level and gross national income (GNI) per capita. Better economic conditions correlate with higher quality of life Economic conditions affect the life expectancy, which is much higher in the wealthiest regions. With a life expectancy of 85 years, Liechtenstein led the ranking of countries with the highest life expectancy in 2023. On the other hand, Nigeria was the country with the lowest life expectancy, where men were expected to live 55 years as of 2024. The Global Liveability Index ranks the quality of life in cities around the world, basing on political, social, economic and environmental aspects, such as personal safety and health, education and transport services and other public services. In 2024, Vienna was ranked as the city with the highest quality of life worldwide.

The average for 2023 based on 171 countries was 0.385 index points. The highest value was in Denmark: 0.883 index points and the lowest value was in Eritrea: 0.01 index points. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

The average for 2022 based on 188 countries was 108.5 index points. The highest value was in Senegal: 189.9 index points and the lowest value was in Malta: 53.8 index points. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

This graph shows the top 20 countries as ranked by the World Giving Index in 2019. In that year, the United States was first with an index score of 58 percent.

The 2019 score is the ten-year average from 2009 to 2018.

Human Development Index by country for 2013. This is a filtered layer based on the "Human Development Index by country, 1980-2010 time-series" layer.The Human Development Index measures achievement in 3 areas of human development: long life, good education and income. Specifically, the index is computed using life expectancy at birth, Mean years of schooling, expected years of schooling, and gross national income (GNI) per capita (PPP $).The United Nations categorizes the HDI values into 4 groups. In 2013 these groups were defined by the following HDI values:

Very High Human Development: 0.736 and higher High Human Development: 0.615 to 0.735 Medium Human Development: 0.494 to 0.614 Low Human Development: 0.493 and lower

Country shapes from Natural Earth 50M scale data. Human Development Index attributes are from The World Bank: HDRO calculations based on data from UNDESA (2013a), Barro and Lee (2013), UNESCO Institute for Statistics (2013), UN Statistics Division (2014), World Bank (2014) and IMF (2014).

Vietnams Global Competitiveness Index belief sich im 2019 auf 61.543 Score. Dies stellt einen Anstieg im Vergleich zu den vorherigen Zahlen von 58.051 Score für 2018 dar. Vietnams Global Competitiveness Index werden jährlich aktualisiert, mit einem Durchschnitt von 58.051 Score von 2017 bis 2019, mit 3 Beobachtungen. Die Daten erreichten ein Allzeithoch in Höhe von 61.543 Score im 2019 und ein Rekordtief in Höhe von 57.939 Score im 2017. Vietnams Global Competitiveness Index Daten behalten den Aktiv-Status in CEIC und werden von World Economic Forum gemeldet. Die Daten werden unter World Trend Pluss Global Competitiveness Index (GCI) – Table GCI 4.0: Overall Index: Individual Countries kategorisiert.