Key information about Japan Market Capitalization

• Japan Market Capitalization accounted for 7,586.336 USD bn in Oct 2025, compared with a percentage of 7,443.760 USD bn in the previous month
• Japan Market Capitalization is updated monthly, available from Jan 1957 to Oct 2025
• The data reached an all-time high of 7,586.336 USD bn in Oct 2025 and a record low of 4.473 USD bn in Aug 1957

CEIC converts monthly Market Capitalization into USD. Japan Exchange Group Inc. provides Market Capitalization in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions. Market Capitalization covers Tokyo Stock Exchange only, which is not the only equity market in the country but is highly representative. Before July 2013 Total Market Capitalization of TSE covers TSE 1st Section Shares, 2nd Section Shares and Mothers Shares. Since July 2013, Total Market Capitalization of TSE also covers Market Capitalization of Tokyo Pro Market Shares, JASDAQ Standard Shares and JASDAQ Growth Shares. On April 2022, the stock market was restructured into three new market segments (Prime Market, Standard Market, and Growth Market) replacing previous four market divisions: 1st Section, 2nd Section, Mothers, and JASDAQ (Standard and Growth).

As of October 2025, the combined monthly market capitalization of companies listed on the Tokyo Stock Exchange (TSE) in Japan amounted to around ******* trillion Japanese yen. There were more than ***** companies listed on the TSE as of the end of 2024.

Key information about Japan Market Capitalization: % of GDP

• Japan Market Capitalization accounted for 163.9 % of its Nominal GDP in Dec 2024, compared with a percentage of 146.8 % in the previous year
• Japan Market Capitalization: % Nominal GDP is updated yearly, available from Dec 1994 to Dec 2024
• The data reached an all-time high of 163.9 % in Dec 2024 and a record low of 47.3 % in Dec 2002

CEIC calculates annual Market Capitalization as % of Nominal GDP from monthly Market Capitalization and annual Nominal GDP. Japan Exchange Group Inc. provides Market Capitalization in local currency. Economic and Social Research Institute provides Nominal GDP in local currency. Market Capitalization covers Tokyo Stock Exchange only, which is not the only equity market in the country but is highly representative. Before July 2013 Total Market Capitalization of TSE covers TSE 1st Section Shares, 2nd Section Shares and Mothers Shares. Since July 2013, Total Market Capitalization of TSE also covers Market Capitalization of Tokyo Pro Market Shares, JASDAQ Standard Shares and JASDAQ Growth Shares. On April 2022, the stock market was restructured into three new market segments (Prime Market, Standard Market, and Growth Market) replacing previous four market divisions: 1st Section, 2nd Section, Mothers, and JASDAQ (Standard and Growth).


Further information about Japan Market Capitalization: % of GDP

• In the latest reports, Prime Market recorded a monthly P/E ratio of 21.8 in Nov 2025
• Nikkei 225 Stock closed at 50,253.9 points in Nov 2025

Japan: Stock market capitalization, billion USD: The latest value from 2024 is 6310.68 billion U.S. dollars, an increase from 6149.2 billion U.S. dollars in 2023. In comparison, the world average is 1647.20 billion U.S. dollars, based on data from 68 countries. Historically, the average for Japan from 1975 to 2024 is 3179.43 billion U.S. dollars. The minimum value, 21.53 billion U.S. dollars, was reached in 1977 while the maximum of 6718.22 billion U.S. dollars was recorded in 2020.

As of October 2025, the combined market capitalization of companies listed on the Tokyo Stock Exchange (TSE) in Japan amounted to around ******* trillion Japanese yen, reaching a decade high. Tokyo Stock Exchange Hosting over ***** listed companies, the Tokyo Stock Exchange is the main stock exchange in Japan. It is operated by Japan Exchange Group, which was established in 2013 following the merger of Tokyo Stock Exchange Group and Osaka Securities Exchange. The company is one of the largest stock market operators in the world by market capitalization. Reorganization of market segments In April 2022, the TSE restructured its market segments. The stock exchange formerly consisted of four market divisions, which were reorganized into three; the Prime Market, where some of Japan’s largest corporations based on market capitalization are listed, the Standard Market, and the Growth Market for startups and emerging companies. The change was made to reduce ambiguity about the concept of each market division and create incentives for listed companies to increase their corporate value.

Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on December of 2025.

Nikkei 225 (Nikkei Stock Average) is one of the most important stock market indices in Japan.

🔹 What does it measure?

It tracks the average stock price of 225 large companies listed on the Tokyo Stock Exchange (TSE).

It is widely seen as a barometer of Japan’s overall economic performance.

🔹 Key features:

First calculated in 1950.

Often referred to as the Japanese equivalent of the Dow Jones Industrial Average, since both are price-weighted indices.

Price-weighted index → Stocks with higher share prices have a larger influence, regardless of market capitalization.

Covers multiple industries: technology, automotive, finance, consumer goods, etc.

👉 In short, the Nikkei 225 is the most widely followed indicator of Japan’s stock market, and also a key reference for global investors.

The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of November 2025. The following largest three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

At the end of the fiscal year 2024, ***************************************** were the leading type of domestic investors in stocks in Japan, with stock holdings of around ***** trillion Japanese yen. Stock holdings of financial institutions, including insurance companies, investment trusts, and pension trusts, amounted to ***** trillion yen. Tokyo Stock Exchange With a market capitalization of over *** trillion Japanese yen and around ***** constituents, the Tokyo Stock Exchange, operated by the Japan Exchange Group, is one of the largest stock exchanges in Asia and the world. In parallel to its reorganization in April 2022, a series of reforms were introduced to improve corporate governance of listed companies and make Japanese stocks more attractive to investors. Driven by global investors, the Nikkei 225 stock market index, Japan’s benchmark index, surpassed a 34 year-old record-high in February 2024. Private investors Stock holdings of individuals amounted to around ***** trillion yen in fiscal 2024. Japanese households hold a comparably large share of assets in cash and deposits. According to estimates, around ** percent of the population were stock owners and equity and investment trusts accounted for around ** percent of the financial assets of households. To boost private investment in stocks and bonds, an amended version of Japan’s tax-exempt investment scheme, Nippon Individual Savings Account (NISA), was launched in January 2024.

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.

Trading Signals (Nikkei 225 Index Stock Forecast)

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

FCHI The FCHI, or the CAC 40 Index, is a benchmark stock market index in France that represents the performance of the 40 most significant and actively traded stocks on the Euronext Paris. It includes major French companies across various sectors such as finance, energy, consumer goods, and technology. The index is widely used by investors and financial professionals to gauge the health of the French economy and serves as a key indicator of European market trends.

FTSE The FTSE 100 Index, commonly referred to as simply the FTSE, is a stock market index that tracks the performance of the 100 largest companies listed on the London Stock Exchange, ranked by market capitalization. It is one of the most widely followed indices in Europe and reflects the overall strength and direction of the UK's economy. Major multinational corporations in sectors like banking, oil, and pharmaceuticals are heavily represented in this index.

GDAXI The GDAXI, also known as the DAX 40 or simply DAX, is Germany’s leading stock market index, consisting of the 40 largest and most liquid German companies trading on the Frankfurt Stock Exchange. These companies are typically industry leaders in sectors such as automotive, industrial manufacturing, pharmaceuticals, and financial services. The DAX is a key indicator of economic performance in Germany and is closely watched by investors around the world.

HSI The HSI, or Hang Seng Index, is a stock market index that tracks the performance of the largest companies listed on the Hong Kong Stock Exchange. It serves as a key benchmark for the Hong Kong stock market and provides insight into the economic conditions of Hong Kong and greater China. The index includes companies from various sectors, including finance, real estate, and technology, many of which have significant operations in mainland China.

IDX The IDX Composite Index, often referred to as the Jakarta Composite Index, is the main stock market index for the Indonesia Stock Exchange (IDX). It measures the performance of all actively traded stocks listed on the exchange and is used as a key indicator of the overall health of the Indonesian economy. The index covers a wide range of industries, including banking, commodities, telecommunications, and consumer goods.

N225 The N225, or Nikkei 225, is Japan’s most well-known stock market index, comprising 225 top-quality companies listed on the Tokyo Stock Exchange. It is a price-weighted index that reflects the performance of major Japanese firms across various industries such as electronics, automotive, and financial services. The Nikkei 225 is considered a key barometer of Japan's economic health and is widely monitored by global investors.

NYA The NYA, or NYSE COMPOSITE INDEX, is a broad stock market index that includes all common stocks listed on the New York Stock Exchange. Unlike more narrow indices such as the Dow Jones Industrial Average, the NYA offers a comprehensive view of the entire NYSE market, covering companies across multiple sectors and market capitalizations. It is used by investors to assess the overall performance of the U.S. stock market.

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.

Nikkei 225 index: Navigating Key Levels Amid Global Uncertainty

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

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.

Can stock prices be predicted? (Nikkei 225 Index Stock Forecast)

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

Actual value and historical data chart for Japan Stock Market Return Percent Year On Year

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.

Composition of uninterrupted trends observed in the DJIA data sample.

DJIA and Nikkei empirical trend durations distribution are well fitted by the geometric model. Nasdaq and IPC are not. NDF means “number of degrees of freedom”. Fits were performed on the data listed in Tables 2–5.

Composition of uninterrupted trends observed in the Nasdaq data sample.

Observed p + q mean values are very close to the value of 1 for Nikkei and DJIA and despite non stationarity, are also close to 1 for Nasdaq and IPC markets. Restricting our analysis to dates thereafter year 1999, clearly p + q values are even nearest to the value of 1 for all markets.

Same values generated for two additional overlapping time frames of 200 and 300 days are also displayed.