China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, 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 December of 2025.

As of December 2024, the Shanghai Stock Exchange had the largest domestic market capitalization among stock exchanges in the Asia Pacific region, amounting to approximately *** trillion U.S. dollars. Second in the ranking was the Shanghai Stock Exchange Group, followed by the Shenzhen Stock Exchange. Stock exchanges in Asia PacificThe major stock exchanges in the Asia-Pacific region are the Tokyo Stock Exchange in Japan, the Shanghai and Shenzhen Stock Exchange in Mainland China, the Hong Kong Stock Exchange in Hong Kong, and the Bombay Stock Exchange in India, which is also the oldest stock exchange in Asia. Also, five out of the ten largest stock exchange operators in the world are located in Asia.What is market capitalization?Market capitalization, also commonly referred to as market cap, is a measure of the total market value of outstanding shares of a company on the stock market. It indicates a company’s relative size and value while taking various determinants such as risk and the market’s perception into consideration. There are large-cap (>** billion), mid-cap (* to ** billion) and small-cap (*** million to * billion) companies depending on their market capitalization.

The value of global domestic equity market increased from ***** trillion U.S. dollars in 2013 to ****** trillion U.S. dollars in 2024. 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 ** 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 ** 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 a market cap of *** billion U.S. dollars as of March 2025.

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

The dataset used in this paper is a collection of financial time series data, including daily open price, high price, low price, close price, and trading volume.

This dataset contains historical stock price data for major banks from the year 2014 to 2024. The dataset includes daily stock prices, trading volume, and other relevant financial metrics for prominent banks. The stock prices are provided in IDR (Indonesian Rupiah) currency.

PT Bank Central Asia Tbk (BBCA.JK), more commonly recognized as Bank Central Asia (BCA). As one of Indonesia's largest privately-owned banks, BCA was founded in 1955 and provides a diverse array of banking services encompassing consumer banking, corporate banking, investment banking, and asset management. With a widespread presence throughout Indonesia, including numerous branches and ATMs, BCA is esteemed for its robust financial achievements, inventive banking offerings, and dedication to customer satisfaction.

Dataset Variables:

1. Date: The date of the stock price data.
2. Open Price: The opening price of the bank's stock on the given date.
3. Close Price: The closing price of the bank's stock on the given date.
4. High Price: The highest price reached by the bank's stock during the trading day.
5. Low Price: The lowest price reached by the bank's stock during the trading day.
6. Adjusted Low Price: The closing price on a given trading day, adjusted to reflect any corporate actions, such as stock splits, dividends, rights offerings, or other adjustments that may affect the stock price.
7. Volume: The number of shares traded on the given date.

Data Sources: The dataset is compiled from reliable financial sources, including stock exchanges, financial news websites, and reputable financial data providers. Data cleaning and preprocessing techniques have been applied to ensure accuracy and consistency. More info: https://finance.yahoo.com/quote/BBCA.JK/history/

Use Case: This dataset can be utilized for various purposes, including financial analysis, stock market forecasting, algorithmic trading strategies, and academic research. Researchers, analysts, and data scientists can explore the trends, patterns, and relationships within the data to derive valuable insights into the performance of the banking sector over the specified period. Additionally, this dataset can serve as a benchmark for evaluating the performance of machine learning models and quantitative trading strategies in the banking industry.

Comprehensive 27+ years of daily stock market data for Indian indices (SENSEX & NIFTY 50) and all their constituent companies. This dataset includes OHLCV data along with pre-calculated technical indicators, making it perfect for time series analysis, algorithmic trading strategies, and machine learning applications.

Total Records: 400,000+
Companies: 80 stocks (30 SENSEX + 50 NIFTY 50)
Features: 21 columns per record

Use Cases:

Machine Learning & Prediction:

• Stock price forecasting using LSTM, GRU, or Transformers
• Next-day close price prediction
• Multi-stock portfolio prediction
• Market regime detection (bull/bear markets)

Technical Analysis:

• Backtest trading strategies (RSI, MACD, Moving Average crossovers)
• Identify support/resistance levels
• Bollinger Band squeeze patterns
• Golden Cross / Death Cross detection

Statistical Analysis:

-Correlation analysis between stocks - Volatility clustering analysis - Market crash impact studies (2008 financial crisis, 2020 COVID) - Sectoral performance comparison

Portfolio Optimization:

• Modern Portfolio Theory implementation
• Risk-return optimization
• Diversification analysis
• Sharpe ratio calculations

Education:

• Financial markets course projects
• Time series analysis tutorials
• Data science portfolio projects
• Algorithmic trading education

Company List:

SENSEX 30 Companies:

Adani Enterprises, Asian Paints, Axis Bank, Bajaj Finance, Bajaj Finserv, Bharti Airtel, HDFC Bank, HCL Technologies, Hindustan Unilever, ICICI Bank, IndusInd Bank, Infosys, ITC, Kotak Mahindra Bank, Larsen & Toubro, Mahindra & Mahindra, Maruti Suzuki, Nestle India, NTPC, ONGC, Power Grid Corporation, Reliance Industries, State Bank of India, Sun Pharmaceutical, Tata Consultancy Services, Tata Motors, Tata Steel, Tech Mahindra, Titan Company, UltraTech Cement, Wipro

NIFTY 50 Companies:

All SENSEX 30 companies plus: Adani Ports, Apollo Hospitals, Bajaj Auto, Bharat Petroleum, Britannia Industries, Cipla, Coal India, Divi's Laboratories, Dr. Reddy's Laboratories, Eicher Motors, Grasim Industries, Hero MotoCorp, Hindalco Industries, Hindustan Zinc, JSW Steel, LTIMindtree, Shriram Finance, Tata Consumer Products, Trent

Ticker Conventions: - .BO suffix = Bombay Stock Exchange (BSE) - .NS suffix = National Stock Exchange (NSE)

Citation Policy:

If you use this dataset in your research, please cite:

Indian Stock Market Historical Data - SENSEX & NIFTY 50 (1997-2024)
Kaggle Dataset, November 2024
URL: https://www.kaggle.com/datasets/rockyt07/stock-market-sensex-nifty-all-time-dataset

This study examines the market return spillovers from the US market to 10 Asia-Pacific stock markets, accounting for approximately 91 per cent of the region’s GDP from 1991 to 2022. Our findings indicate an increased return spillover from the US stock market to the Asia-Pacific stock market over time, particularly after major global events such as the 1997 Asian and the 2008 global financial crises, the 2015 China stock market crash, and the COVID-19 pandemic. The 2008 global financial crisis had the most substantial impact on these events. In addition, the findings also indicate that US economic policy uncertainty and US geopolitical risk significantly affect spillovers from the US to the Asia-Pacific markets. In contrast, the geopolitical risk of Asia-Pacific countries reduces these spillovers. The study also highlights the significant impact of information and communication technologies (ICT) on these spillovers. Given the increasing integration of global financial markets, the findings of this research are expected to provide valuable policy implications for investors and policymakers.

Correlation analysis (emerging market).

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 Current Transducer report features an extensive regional analysis, identifying market penetration levels across major geographic areas. It highlights regional growth trends and opportunities, allowing businesses to tailor their market entry strategies and maximize growth in specific regions.

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.

The size of the Asia-Pacific Natural Gas Market was valued at USD 14940 Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 4.00">> 4.00% during the forecast period. Recent developments include: July 2022: The Indian government announced that it had set a target to raise the share of natural gas in the energy mix to 15% by 2030 from the current 6.3%. According to the data demonstrated by the Ministry of Petroleum & Natural Gas, 95.21 lakh PNG (Domestic) connections have been provided, and the authorized entities have established 4531 CNG (Transport) stations as of 31 May 2022., May 2022: The China National Offshore Oil Company (CNOOC) awarded CNY 16 billion (USD2.42 billion) contracts for building 12 liquefied natural gas tankers. The 12 vessels will be constructed by Hudong Zhonghua Shipbuilding Co., a China State Shipbuilding Corporation (CSSC). Each tanker can carry about 174,000 cubic meters of LNG, equivalent to 108 million cubic meters when re-gasified. The vessels are slated for commissioning between 2024 and 2027., January 2022: GAIL (India) Ltd commenced India's first-of-its-kind project of mixing hydrogen into the natural gas system in Indore, Madhya Pradesh. The hydrogen blended natural gas will be supplied to Avantika Gas Ltd, one of GAIL's joint ventures with HPCL, to retail CNG to automobiles and piped natural gas to households in Indore.. Key drivers for this market are: 4., Increasing Electricity Demand4.; Rsing Investments in the Coal Industry. Potential restraints include: 4., Increasing Installation of Renewable Energy Sources. Notable trends are: Increasing Investments in Natural Gas Production to Drive the Market.

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.

This study considers the effect of an industry’s network topology on its systemic risk contribution to the stock market using data from the CSI 300 two-tier industry indices from the Chinese stock market. We first measure industry’s conditional-value-at-risk (CoVaR) and the systemic risk contribution (ΔCoVaR) using the fitted time-varying t-copula function. The network of the stock industry is established based on dynamic conditional correlations with the minimum spanning tree. Then, we investigate the connection characteristics and topology of the network. Finally, we utilize seemingly unrelated regression estimation (SUR) of panel data to analyze the relationship between network topology of the stock industry and the industry’s systemic risk contribution. The results show that the systemic risk contribution of small-scale industries such as real estate, food and beverage, software services, and durable goods and clothing, is higher than that of large-scale industries, such as banking, insurance and energy. Industries with large betweenness centrality, closeness centrality, and clustering coefficient and small node occupancy layer are associated with greater systemic risk contribution. In addition, further analysis using a threshold model confirms that the results are robust.

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.

Bilibili Battle: Will the Chinese YouTube Knockoff Conquer America? (BILI)

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 Vegetable Seed market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.

The Asia Pacific Lime Market Report Includes An Analysis of Production (Volume), Consumption (Volume and Value), Import (Volume and Value), Export (Volume and Value), and Price Trends, Across the Countries India, China, and Japan. The Report Offers Market Size and Forecasts in Terms of Value (USD) and Volume (Metric Tons) for all the Above.

Index Time Series for iShares MSCI Emerging Markets Asia ETF. The frequency of the observation is daily. Moving average series are also typically included. The fund generally will invest at least 80% of its assets in the component securities of the underlying index and in investments that have economic characteristics that are substantially identical to the component securities of the underlying index. The underlying index is designed to measure equity market performance in the emerging market countries of Asia. The underlying index includes large- and mid-capitalization companies and may change over time.

This statistic shows the market share of the Carlsberg Group in Asia in 2023, by country. That year, the market share of the company was highest in Laos, with ** percent. In Nepal, the company reached a share of ** percent. The Carlsberg Group had a market share of ***** percent in Vietnam.