69 datasets found
  1. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 30, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 19, 1990 - Sep 30, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3883 points on September 30, 2025, gaining 0.52% from the previous session. Over the past month, the index has climbed 0.19% and is up 11.26% 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 October of 2025.

  2. Leading stock exchanges APAC 2024, by domestic market capitalization

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). Leading stock exchanges APAC 2024, by domestic market capitalization [Dataset]. https://www.statista.com/statistics/265236/domestic-market-capitalization-in-the-asia-pacific-region/
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    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    APAC
    Description

    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.

  3. T

    Hong Kong Stock Market Index (HK50) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 8, 2025
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    TRADING ECONOMICS (2025). Hong Kong Stock Market Index (HK50) Data [Dataset]. https://tradingeconomics.com/hong-kong/stock-market
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 31, 1964 - Oct 8, 2025
    Area covered
    Hong Kong
    Description

    Hong Kong's main stock market index, the HK50, fell to 26850 points on October 8, 2025, losing 0.40% from the previous session. Over the past month, the index has climbed 3.52% and is up 30.10% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on October of 2025.

  4. Largest stock exchange operators worldwide 2025, by market capitalization

    • statista.com
    • tokrwards.com
    Updated Jun 23, 2025
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    Statista (2025). Largest stock exchange operators worldwide 2025, by market capitalization [Dataset]. https://www.statista.com/statistics/270126/largest-stock-exchange-operators-by-market-capitalization-of-listed-companies/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2025
    Area covered
    Worldwide
    Description

    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 June 2025. The following 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.

  5. f

    Data from: Trading Imbalance in Chinese Stock Market - A High-Frequency View...

    • figshare.com
    txt
    Updated May 31, 2023
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    Jichang Zhao; Shan Lu (2023). Trading Imbalance in Chinese Stock Market - A High-Frequency View [Dataset]. http://doi.org/10.6084/m9.figshare.5835936.v3
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    figshare
    Authors
    Jichang Zhao; Shan Lu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description
    1. The series of files named as ‘*_polarity.csv’ in folder ‘polarity’ includes the trading polarities of stocks listed on Shenzhen Stock Exchange from May 4 to July 31 2015. The eight numbers in the filenames specify the dates. The columns of these dataframes indicate the stock names, while the indices of dataframes indicate the time. The granularity of trading polarity is 1 minute for every stock. These trading polarities are calculated from the serial numbers for buyers and sellers in transactions data. The original transactions data is not publicly available due to the company’s license requirement.2. The files in the 'log_ret' folder cover the log returns of 1646 stocks listed on Shenzhen Stock Exchange from May 4 to July 31 2015. These data are calculated from the intraday price trends data provided by Thomson Reuters’ Tick History. The original price trends data is not publicly available due to the company’s license requirement.3. The file named as "stock_market_value.csv" gives the capitalization of stocks in June 31 2015, which is downloaded from Wind Information and we have converted the unit of measure from RMB into a dollar. Due to license requirements of the data companies, all of the above files have converted the names of stocks into integers in a consistent way. 4. Please cite the following paper:Shan Lu, Jichang Zhao and Huiwen Wang. Trading Imbalance in Chinese Stock Market—A High-Frequency View. Entropy, 2020, 22(8), 897.
  6. C

    China Market Capitalization

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China Market Capitalization [Dataset]. https://www.ceicdata.com/en/indicator/china/market-capitalization
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Description

    Key information about China Market Capitalization

    • China Market Capitalization accounted for 11,870.548 USD bn in Feb 2025, compared with a percentage of 11,513.605 USD bn in the previous month
    • China Market Capitalization is updated monthly, available from Jul 1995 to Feb 2025
    • The data reached an all-time high of 14,375.423 USD bn in Dec 2021 and a record low of 40.601 USD bn in Jan 1996

    CEIC calculates monthly Market Capitalization as the sum of Market Capitalization of Shanghai Stock Exchange and Market Capitalization of Shenzhen Stock Exchange and converts it into USD. Shanghai Stock Exchange and Shenzhen Stock Exchange provides Market Capitalization in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions.

  7. Trading volume of China's stock market 2013-2024

    • statista.com
    • tokrwards.com
    Updated Jul 11, 2025
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    Statista (2025). Trading volume of China's stock market 2013-2024 [Dataset]. https://www.statista.com/statistics/458183/china-stock-market-trading-volume/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    At yearend 2024, the trading volume of China's stock market had amounted to approximately ** trillion shares. The statistic shows the trading volume of stock transactions taking place at both the Shanghai Stock Exchange and the Shenzhen Stock Exchange. The bourses are the vanguard of China's trading industry.

  8. Asian Markets and U.S. Futures Decline as Trump's Fed Comments Stir Concerns...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Sep 1, 2025
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    IndexBox Inc. (2025). Asian Markets and U.S. Futures Decline as Trump's Fed Comments Stir Concerns - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/market-turmoil-asian-stocks-and-us-futures-slide-amid-fed-critique/
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    pdf, xls, doc, xlsx, docxAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Sep 1, 2025
    Area covered
    World
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Asian markets and U.S. futures decline as Trump's comments on the Fed heighten market anxiety, boosting gold prices to new highs.

  9. m

    Data for: Asian Financial Market Integration and the Role of Chinese...

    • data.mendeley.com
    Updated Oct 26, 2018
    + more versions
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    Byung-Joo Lee (2018). Data for: Asian Financial Market Integration and the Role of Chinese Financial Market [Dataset]. http://doi.org/10.17632/p22fnfhv4b.1
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    Dataset updated
    Oct 26, 2018
    Authors
    Byung-Joo Lee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Data consists of 10 Asian countries, Japan, China, Hong Kong, Taiwan, South Korea, Singapore, Malaysia, Thailand, Indonesia, Philippines plus U.S., total 11 countries. Monthly stock market index and nominal exchange rates (end of the month in local currency terms) are collected from Datastream from January 1990 to December 2013 total 288 monthly observations. Each country data in in a separate workbook tab. There are 10 country workbook tab plus US data in the 11th tab. 12th tab workbook describes data for each country. The last tab workbook combines all country data into one single pooled data file.

  10. d

    Asia Pacific | Corporate Buyback Data | Transactions and Intentions | 10...

    • datarade.ai
    Updated Feb 15, 2024
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    Smart Insider (2024). Asia Pacific | Corporate Buyback Data | Transactions and Intentions | 10 Years Historical Data | 20K+ companies | Corporate Actions Data [Dataset]. https://datarade.ai/data-products/asia-corporate-buyback-data-transactions-and-intentions-smart-insider
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    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Smart Insider
    Area covered
    Taiwan, Armenia, Mongolia, Bahrain, Bhutan, Nepal, Thailand, Bangladesh, Korea (Democratic People's Republic of), Sri Lanka
    Description

    Smart Insider’s Global Share Buyback Database offers invaluable insights to investors on corporate actions data. We provide detailed, up-to-date share buyback data covering over 55,000 companies globally and over 20K+ from Asia, that’s every company that reports Buybacks through regulatory processes.

    Our Share buyback data includes detailed information on all major buyback transactions including source announcements and derived analysis fields. Our platform adds a visual representation of the data, allowing investors to quickly identify patterns and make decisions based on their findings.

    Get detailed share buyback insights with Smart Insider and stay ahead of the curve with accurate, historical buyback insight that helps you make better investment decisions.

    We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as CSV, XML or XLSX via SFTP, API or Snowflake.

    Sample dataset for Desktop Service has been provided with limited fields. Upon request, we can provide a detailed Quant sample.

    Tags: Equity Market Data, Stock Market Data, Corporate Actions Data, Corporate Buyback Data, Company Financial Data, Insider Trading Data

  11. Equity market capitalization worldwide 2013-2024

    • statista.com
    • tokrwards.com
    Updated Jun 23, 2025
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    Statista (2025). Equity market capitalization worldwide 2013-2024 [Dataset]. https://www.statista.com/statistics/274490/global-value-of-share-holdings-since-2000/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    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.

  12. Effect of coronavirus on major global stock indices 2020-2021

    • statista.com
    • tokrwards.com
    Updated Jun 27, 2025
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    Statista (2025). Effect of coronavirus on major global stock indices 2020-2021 [Dataset]. https://www.statista.com/statistics/1251618/effect-coronavirus-major-global-stock-indices/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2020 - Nov 14, 2021
    Area covered
    Worldwide
    Description

    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.

  13. f

    Chinese Stock Market Index Datasets

    • figshare.com
    txt
    Updated May 19, 2024
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    Zibin Sheng (2024). Chinese Stock Market Index Datasets [Dataset]. http://doi.org/10.6084/m9.figshare.25855999.v2
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    txtAvailable download formats
    Dataset updated
    May 19, 2024
    Dataset provided by
    figshare
    Authors
    Zibin Sheng
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  14. f

    Correlation analysis (emerging market).

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Ijaz Younis; Cheng Longsheng; Muhammad Farhan Basheer; Ahmed Shafique Joyo (2023). Correlation analysis (emerging market). [Dataset]. http://doi.org/10.1371/journal.pone.0240472.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ijaz Younis; Cheng Longsheng; Muhammad Farhan Basheer; Ahmed Shafique Joyo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Correlation analysis (emerging market).

  15. Chinese Stock Market——Main Index Since 2020

    • kaggle.com
    Updated Dec 4, 2023
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    EumenesXY (2023). Chinese Stock Market——Main Index Since 2020 [Dataset]. https://www.kaggle.com/datasets/eumenesxy/china-stock-marketmain-index-from-2020/suggestions
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 4, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    EumenesXY
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    The dataset contains a collection of indices representing different segments of the Chinese stock market. Here's an overview based on the column names and general knowledge about these indices:

    TradingDay: Represents the trading day or date for which the index values are recorded.

    SZ50 (上证50): The Shanghai Stock Exchange 50 Index, commonly known as the SSE 50 Index. It tracks the 50 largest and most liquid A-share stocks listed on the Shanghai Stock Exchange. This index is often used as a barometer for the overall performance of blue-chip stocks in China.

    KC50 (科创50): Likely refers to the Science and Technology Innovation Board 50 Index. This index tracks the top 50 companies (by market capitalization) listed on the STAR Market, which is a Nasdaq-style tech board on the Shanghai Stock Exchange. It focuses on companies in high-tech and strategic emerging sectors.

    HS300 (沪深300): The CSI 300 Index, which includes the top 300 stocks by market capitalization from the Shanghai and Shenzhen stock exchanges. It's a comprehensive reflection of the performance of China's A-shares market.

    ZZ500 (中证500): The CSI 500 Index, which tracks the 500 next largest stocks after the CSI 300 (i.e., stocks ranked 301st to 800th by size). It provides a broader view of mid-cap stocks in the Chinese market.

    ZZ800 (中证800): The CSI 800 Index, which combines the CSI 300 and CSI 500 indices, encompassing the largest 800 stocks in the Chinese A-share market.

    ZZ1000 (中证1000): The CSI 1000 Index, which reflects the performance of stocks ranked 801st to 1800th in terms of total market capitalization. It's a measure of small-cap stocks in the market.

    These indices collectively offer a comprehensive view of the Chinese stock market, covering large-cap, mid-cap, and small-cap stocks across various sectors. Each index is constructed based on market capitalization and liquidity criteria, ensuring that they accurately reflect the segments of the market they are meant to represent.

  16. f

    DataSheet1_Network Structures for Asset Return Co-Movement: Evidence From...

    • frontiersin.figshare.com
    pdf
    Updated Jun 5, 2023
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    Huai-Long Shi; Huayi Chen (2023). DataSheet1_Network Structures for Asset Return Co-Movement: Evidence From the Chinese Stock Market.pdf [Dataset]. http://doi.org/10.3389/fphy.2022.593493.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    Frontiers
    Authors
    Huai-Long Shi; Huayi Chen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This article focuses on the detailed network structure of the co-movement for asset returns. Based on the Chinese sector indices and Fama-French five factors, we conducted return decomposition and constructed a minimum spanning tree (MST) in terms of the rank correlation among raw return, idiosyncratic return, and factor premium. With the adoption of a rolling window analysis, we examined the static and time-varying characteristics associated with the MST(s). We obtained the following findings: 1) A star-like structure is presented for the whole sample period, in which market factor MKT acts as the hub node; 2) the star-like structure changes during the periods for major market cycles. The idiosyncratic returns for some sector indices would be disjointed from MKT and connected with their counterparts and other pricing factors; and 3) the effectiveness of pricing factors are time-varying, and investment factor CMA seems redundant in the Chinese market. Our work provides a new perspective for the research of asset co-movement, and the test of the effectiveness of empirical pricing factors.

  17. f

    Profitability of Contrarian Strategies in the Chinese Stock Market

    • plos.figshare.com
    pdf
    Updated Jun 1, 2023
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    Huai-Long Shi; Zhi-Qiang Jiang; Wei-Xing Zhou (2023). Profitability of Contrarian Strategies in the Chinese Stock Market [Dataset]. http://doi.org/10.1371/journal.pone.0137892
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Huai-Long Shi; Zhi-Qiang Jiang; Wei-Xing Zhou
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This paper reexamines the profitability of loser, winner and contrarian portfolios in the Chinese stock market using monthly data of all stocks traded on the Shanghai Stock Exchange and Shenzhen Stock Exchange covering the period from January 1997 to December 2012. We find evidence of short-term and long-term contrarian profitability in the whole sample period when the estimation and holding horizons are 1 month or longer than 12 months and the annualized return of contrarian portfolios increases with the estimation and holding horizons. We perform subperiod analysis and find that the long-term contrarian effect is significant in both bullish and bearish states, while the short-term contrarian effect disappears in bullish states. We compare the performance of contrarian portfolios based on different grouping manners in the estimation period and unveil that decile grouping outperforms quintile grouping and tertile grouping, which is more evident and robust in the long run. Generally, loser portfolios and winner portfolios have positive returns and loser portfolios perform much better than winner portfolios. Both loser and winner portfolios in bullish states perform better than those in the whole sample period. In contrast, loser and winner portfolios have smaller returns in bearish states, in which loser portfolio returns are significant only in the long term and winner portfolio returns become insignificant. These results are robust to the one-month skipping between the estimation and holding periods and for the two stock exchanges. Our findings show that the Chinese stock market is not efficient in the weak form. These findings also have obvious practical implications for financial practitioners.

  18. Asia Pacific Mutual Funds Market - Industry Statistics & Price

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Oct 5, 2025
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    Mordor Intelligence (2025). Asia Pacific Mutual Funds Market - Industry Statistics & Price [Dataset]. https://www.mordorintelligence.com/industry-reports/asia-pacific-mutual-fund-industry
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Oct 5, 2025
    Dataset provided by
    Authors
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Asia
    Description

    The Asia-Pacific Mutual Fund Market Report is Segmented by Asset Class (Equity, Bond, Hybrid, Money Market, Others), Investor Type (Retail, Institutional), Distribution Channel (Banks, Online Platforms, Financial Advisors, Direct), and Geography (India, China, Japan, Australia, South Korea, South-East Asia, Rest of Asia-Pacific). The Market Forecasts are Provided in Terms of Value (USD).

  19. f

    Descriptive statistics of stock market returns.

    • plos.figshare.com
    xls
    Updated Dec 14, 2023
    + more versions
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    Minh Phuoc-Bao Tran; Duc Hong Vo (2023). Descriptive statistics of stock market returns. [Dataset]. http://doi.org/10.1371/journal.pone.0290680.t001
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    xlsAvailable download formats
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Minh Phuoc-Bao Tran; Duc Hong Vo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  20. D

    Comparative Analysis of Real Estate and Stock Markets as Inflation Hedges:...

    • ssh.datastations.nl
    tsv
    Updated Mar 27, 2024
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    DANS Data Station Social Sciences and Humanities (2024). Comparative Analysis of Real Estate and Stock Markets as Inflation Hedges: Insights from East Asia and the US [Dataset]. http://doi.org/10.17026/SS/UNBVRV
    Explore at:
    tsv(16752), tsv(19155), tsv(9795), tsv(13754), tsv(21353), tsv(41554), tsv(10619), tsv(21637), tsv(42653), tsv(12868)Available download formats
    Dataset updated
    Mar 27, 2024
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    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.

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TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market

China Shanghai Composite Stock Market Index Data

China Shanghai Composite Stock Market Index - Historical Dataset (1990-12-19/2025-09-30)

Explore at:
13 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, excel, jsonAvailable download formats
Dataset updated
Sep 30, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 19, 1990 - Sep 30, 2025
Area covered
China
Description

China's main stock market index, the SHANGHAI, rose to 3883 points on September 30, 2025, gaining 0.52% from the previous session. Over the past month, the index has climbed 0.19% and is up 11.26% 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 October of 2025.

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