China's main stock market index, the SHANGHAI, rose to 3520 points on July 14, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 3.86% and is up 18.35% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

The value of global domestic equity market increased from 65.04 trillion U.S. dollars in 2013 to 124.63 trillion U.S. dollars in 2023. 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 62 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 60 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 market cap of 177 billion U.S. dollars as of March 2025.

In 2022, 175 Chinese companies listed their shares on the Nasdaq with a combined market capitalization of over 382 billion U.S. dollars. Overseas stock markets had been a popular destination for enterprises from Mainland China who were looking to raise capital. However, in recent years, the Chinese government and the U.S. government have made it harder for companies from Mainland China to list in the United States.

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 40 percent of their value compared to January 5, 2020. However, Asian markets and the NASDAQ Composite Index only shed around 20 to 25 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 65 percent higher than in January 2020, while most other markets were only between 20 and 40 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.

Correlation analysis (emerging market).

The determination of the six portfolios is the same as in Table 1. The maxima, the mediates and the means of the daily numbers of limit hits Mi,ku,d, the daily limit hit durations Δti,ku,d and the total intraday limit hit durations ΔTi,ku,d are presented. Results for bullish periods and bearish periods are compared.

To investigate the issue of inflation-hedging to find appropriate hedging assets against inflation by using the VAR or VECM model. We have collected data encompassing housing price indices, stock indices, price indexes, and money supply from five countries: the United States, Hong Kong, South Korea, Singapore, and Taiwan. The housing price index focuses on the transaction prices of listed residential houses in the metropolitan area as the benchmark, the stock price index is the ordinary stock market index of various countries, the price index is the consumer price index (CPI), and the money supply is M2 aggregate. The time period for obtaining data on the housing price index and stock price index is not the same.

The repository contains six CSV datasets, which are the major indices of the Chinese stock market, including the SSECI, the SZSECI, the GEI, the CSI 300 Index, the CSI 500 Index, and the SSE50 index.

Asian emerging stock markets- application of GARCH-M model.

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.

JPMorgan Asia Growth Income (JAGI) - A Strategic Play on the Rising Asian Tiger

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.

Asia Dragon Trust (DGN) Stock Forecast: Prepare to Soar with This Emerging Market Powerhouse

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 Asia Pacific Rice Market report segments the industry into Geography (China, India, Japan, Thailand, Vietnam, Australia, Pakistan, Bangladesh, Philippines, Indonesia, Sri Lanka). The report includes Production Analysis by Volume, Consumption Analysis by Value and Volume, Import Analysis by Value and Volume, Export Analysis by Value and Volume, Wholesale Price Trend Analysis.

In January 2023, a total of ** companies from mainland China finished their initial public offering (IPO) in China and abroad. Despite the outbreak of the coronavirus pandemic, IPO numbers and volumes remained robust in 2020. In that year, the annual number of Chinese IPOs reached *** in 2021, of which *** were listed at stock markets in mainland China and *** in Hong Kong or other overseas destinations.

Stock markets in mainland China

Mainland China has two stock exchanges, the Shanghai stock exchange (SSE) and the Shenzhen stock exchange (SZSE). Both rank among the largest stock exchanges in the world. While more large state-owned enterprises are listed in Shanghai, the stock exchange in Shenzhen is home to many technology driven companies, including Huawei and Tencent. Stocks on the Shanghai exchange are distributed across two boards, the Main Board and the Sci-Tech Innovation Board (Star Market), which was newly established in 2019. The Shenzhen exchange has also two boards, the main board and the Growth Enterprises Board (ChiNext). In 2021, a larger number of IPOs were listed at the newer ChiNext and Star Market, and less at the older SME and Shanghai Main Board.

Chinese IPOs abroad

As domestic Chinese stock markets are still not completely open to foreign investors and regulation on the mainland is less stringent, Chinese companies rely on overseas exchanges to attract international investors. Some of the largest global IPOs were those of Chinese companies going public at foreign stock exchanges. The Hong Kong Exchange and Clearing Market (HKEX) is a preferred place for mainland companies to get an international listing.

The Asia Pacific silica sand market reached a value of about USD 7.69 Billion in 2024. The industry is further expected to grow at a CAGR of about 6.80% reaching a value of USD 14.85 Billion in the forecast period of 2025-2034.

The largest share of the market capitalization of companies from mainland China listed on the Hong Kong Exchange in 2021 fell into the mainland private enterprise (MPE) category. On the Main Board, MPEs had a market capitalization of almost 22 trillion Hong Kong dollars, whereas on the GEM, the market value of MPEs amounted to over 18 trillion Hong Kong dollars. Mainland private enterprises are privately-owned companies that are registered in mainland China.

The so-called Red Chips refer to Chinese companies that are registered overseas but conduct their business mainly in mainland China and are subjected to influence from the Chinese government in one form or another. Finally, H-shares are also shares from companies from mainland China, but these shares are traded on the Hong Kong Exchange as well as on the mainland Chinese bourses in Shanghai and Shenzhen.

Thailand SET: Turnover: Value: Buy: Asia Plus Securities data was reported at 15,017.525 THB mn in Nov 2018. This records a decrease from the previous number of 23,390.248 THB mn for Oct 2018. Thailand SET: Turnover: Value: Buy: Asia Plus Securities data is updated monthly, averaging 22,888.481 THB mn from Jan 2004 (Median) to Nov 2018, with 179 observations. The data reached an all-time high of 139,281.823 THB mn in Jul 2017 and a record low of 2,538.553 THB mn in Mar 2013. Thailand SET: Turnover: Value: Buy: Asia Plus Securities data remains active status in CEIC and is reported by The Stock Exchange of Thailand. The data is categorized under Global Database’s Thailand – Table TH.Z013: The Stock Exchange of Thailand: Turnover Value by Broker: SET.

Access Asia Pacific Hair Extension Industry Overview which includes Asia Pacific country analysis of (China, Japan, South Korea, India, Australia, Singapore, Taiwan, South East Asia, Rest of APAC), market split by Type, Application

In 2023, the stock of Kweichow Moutai had a market value of over ************ yuan. The stock exchange in Shanghai had the second-highest annual turnover in the Greater China region behind the bourse in Shenzhen.

The SSE trading boards

The Shanghai Stock Exchange has *** trading boards known as the Main Board and the Star A board. The Main Board lists some of China’s largest companies, such as the Industrial and Commercial Bank of China, and Pingan Insurance. While the main board is geared toward large companies that have a consolidated market position and stable profitability, the Star A market targets early-stage tech startups.

Kweichow Moutai

Kweichow Moutai is a Chinese Baijiu manufacturer from Guizhou province and the most valuable stock in China. Initially, after the company’s first public offering in 2001, its share price remained stable until it skyrocketed in 2016. By now, Moutai is not only the most valuable spirits company in China, but also worldwide. In China, Moutai’s Baijiu is seen as a status symbol and the official spirit of the Chinese government.

In 2019, China Petroleum & Chemical Corporation had the highest revenue from the overseas market of all A-share listed companies in China, generating about *** billion yuan in foreign markets. Chinese A-shares generated a total of approximately **** trillion yuan of revenue from overseas markets in 2019.

The revenue in the cryptocurrency market in Southeast Asia was estimated at 9.2 billion U.S. dollars in 2025. The revenue was estimated to increase to nearly ten billion U.S. dollars in 2026.