64 datasets found
  1. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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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 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 - Jul 14, 2025
    Area covered
    China
    Description

    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.

  2. C

    China Stock market capitalization, percent of GDP - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Dec 25, 2013
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    Globalen LLC (2013). China Stock market capitalization, percent of GDP - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/stock_market_capitalization/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    Dec 25, 2013
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 2003 - Dec 31, 2022
    Area covered
    China
    Description

    China: Stock market capitalization as percent of GDP: The latest value from 2022 is 64.14 percent, a decline from 81.02 percent in 2021. In comparison, the world average is 76.15 percent, based on data from 74 countries. Historically, the average for China from 2003 to 2022 is 57.27 percent. The minimum value, 17.58 percent, was reached in 2005 while the maximum of 126.15 percent was recorded in 2007.

  3. Respondents' views on likelihood of major stock markets crashing China 2020

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Respondents' views on likelihood of major stock markets crashing China 2020 [Dataset]. https://www.statista.com/statistics/1042539/chinese-likelihood-major-stock-markets-crashing/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 26, 2019 - Dec 6, 2019
    Area covered
    China
    Description

    According to a survey conducted by Ipsos on predictions for global issues in 2020, ** percent of Chinese believed it that major stock markets might crash in 2020. The results of the survey showed that Chinese were among the most optimistic regarding the stock market in 2020.

  4. Annual performance of the Shenzhen Component Index in China 1997-2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Annual performance of the Shenzhen Component Index in China 1997-2024 [Dataset]. https://www.statista.com/statistics/1132477/china-performance-of-shenzhen-component-index/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    At the end of *************, the Shenzhen Component Index value was *********, an increase of about 1,000 index points from *************. The data clearly shows how the value of the index increased before the stock market crash of 2015 and the following sell-off in the following year. In addition to that, the low year-end index value of 2018 was the result of the worst trading year of the decade on Chinese stock exchanges. Together, stocks on the Shanghai and Shenzhen stock exchanges lost around ** percent in that year.

  5. f

    S1 Data -

    • figshare.com
    xls
    Updated Mar 28, 2024
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    Yang Li; Yingchun Zhang; Rui Ma; Ruixuan Wang (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0297055.s001
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    xlsAvailable download formats
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Li; Yingchun Zhang; Rui Ma; Ruixuan Wang
    License

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

    Description

    This study selects stock data of listed companies in China’s A-share stock market from 2011 to 2020 as research samples. Using a fixed-effects model, it examines the impact of analyst optimism on stock price collapses and the moderating effect of information disclosure quality. Simultaneously, it conducts additional research to explore the potential transmission mechanisms involved. The main findings are as follows: Firstly, a positive correlation exists between analyst optimism and the risk of stock price collapse. Secondly, improving information disclosure quality of listed companies can enhance the positive impact of analyst optimism on the risk of stock price collapses and expedite the market’s adjustment of overly optimistic valuations of listed companies. Additionally, analyst optimism can increase the risk of stock price collapses by affecting institutional ownership. These findings provide theoretical support for regulatory authorities to revise and improve the "information disclosure evaluation" system, regulate the analyst industry, guide analyst behavior, and encourage listed companies to enhance internal governance and improve information disclosure practices.

  6. Escalating US-China Trade Tensions: Impact of New Port Fees - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). Escalating US-China Trade Tensions: Impact of New Port Fees - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/us-china-trade-tensions-escalate-over-port-fees/
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    xlsx, xls, pdf, docx, docAvailable download formats
    Dataset updated
    Jun 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 - Jun 1, 2025
    Area covered
    China
    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

    The US decision to impose port fees on Chinese ships has intensified trade tensions, impacting stock markets and economic outlooks.

  7. D

    Investigating the Role of Auditors in Stock Price Crash Risk: A Focus on...

    • ssh.datastations.nl
    xls, zip
    Updated Dec 5, 2023
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    CH Tang; CH Tang (2023). Investigating the Role of Auditors in Stock Price Crash Risk: A Focus on China's Capital Market [Dataset]. http://doi.org/10.17026/DANS-ZF4-V3JK
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    xls(16815104), zip(10662)Available download formats
    Dataset updated
    Dec 5, 2023
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    CH Tang; CH Tang
    License

    https://doi.org/10.17026/fp39-0x58https://doi.org/10.17026/fp39-0x58

    Description

    Chinese listed companies data, encompasses stock price crash risk variables, audit system change records, and other necessary control variables. Date Submitted: 2023-11-18

  8. T

    Hong Kong Stock Market Index (HK50) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, 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 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 - Jul 14, 2025
    Area covered
    Hong Kong
    Description

    Hong Kong's main stock market index, the HK50, rose to 24219 points on July 14, 2025, gaining 0.33% from the previous session. Over the past month, the index has climbed 0.66% and is up 34.43% 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 July of 2025.

  9. Correlation analysis of variables.

    • plos.figshare.com
    xls
    Updated Mar 28, 2024
    + more versions
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    Yang Li; Yingchun Zhang; Rui Ma; Ruixuan Wang (2024). Correlation analysis of variables. [Dataset]. http://doi.org/10.1371/journal.pone.0297055.t003
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    xlsAvailable download formats
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yang Li; Yingchun Zhang; Rui Ma; Ruixuan Wang
    License

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

    Description

    This study selects stock data of listed companies in China’s A-share stock market from 2011 to 2020 as research samples. Using a fixed-effects model, it examines the impact of analyst optimism on stock price collapses and the moderating effect of information disclosure quality. Simultaneously, it conducts additional research to explore the potential transmission mechanisms involved. The main findings are as follows: Firstly, a positive correlation exists between analyst optimism and the risk of stock price collapse. Secondly, improving information disclosure quality of listed companies can enhance the positive impact of analyst optimism on the risk of stock price collapses and expedite the market’s adjustment of overly optimistic valuations of listed companies. Additionally, analyst optimism can increase the risk of stock price collapses by affecting institutional ownership. These findings provide theoretical support for regulatory authorities to revise and improve the "information disclosure evaluation" system, regulate the analyst industry, guide analyst behavior, and encourage listed companies to enhance internal governance and improve information disclosure practices.

  10. C

    China Financial markets development, depth - data, chart |...

    • pl.theglobaleconomy.com
    csv, excel, xml
    Updated Jun 26, 2024
    + more versions
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    Globalen LLC (2024). China Financial markets development, depth - data, chart | TheGlobalEconomy.com [Dataset]. pl.theglobaleconomy.com/China/financial_markets_development_depth/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1982 - Dec 31, 2021
    Area covered
    China
    Description

    China: Financial markets development, depth: The latest value from 2021 is 0.683 index points, a decline from 0.714 index points in 2020. In comparison, the world average is 0.255 index points, based on data from 157 countries. Historically, the average for China from 1982 to 2021 is 0.334 index points. The minimum value, 0.102 index points, was reached in 1989 while the maximum of 0.714 index points was recorded in 2020.

  11. Securities Investment in China - Market Research Report (2015-2030)

    • ibisworld.com
    Updated May 15, 2024
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    IBISWorld (2024). Securities Investment in China - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/china/market-research-reports/securities-investment-industry/
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    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    China
    Description

    Over the five years through 2024, revenue for the Securities Investment industry in China has been increasing at a CAGR of 11.6%. This includes expected industry revenue increase of 6.2% in the current year. Due to uncertainty brought about by the COVID-19, the international political geopolitical crisis and the fluctuation of the international financial market, the industry experienced significant fluctuations over the last five years.The strong growth of 33.1% and 49.7% in 2020 and 2021 was due to the surging initial public offering (IPO) activities in China and the strong performance of securities investments. In 2022 and 2023, due to the decline of major stock indices in China, industry revenue decreased by 11.9% and 7.1%.The Securities Investment industry in China has experienced dramatic developments since the establishment of China's securities market. Due to the intrinsically volatile nature and early stage of China's securities markets, the industry has been subject to high volatility. The industry competition is very fierce. In the next five years, the number of enterprises will increase at a CAGR of 0.2% while the number of establishments increase at a CAGR of 1.0%.Industry revenue is forecast to grow at a CAGR of 8.5% over the five years through 2029. Institutional investors, including securities investment funds, securities companies and qualified foreign institutional investors will make up greater shares of the market, with government policies encouraging the healthy and stable development of the country's securities markets. The industry will be more active as the comprehensive implementation of the registration system reform and influx of new listed companies into the securities market.

  12. Securities Exchanges in China - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Apr 15, 2025
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    IBISWorld (2025). Securities Exchanges in China - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/china/market-research-reports/securities-exchanges-industry/
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    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    China
    Description

    The Securities Exchanges industry in China has displayed extreme volatility over the past five years. The uncertainty brought about by the COVID-19 pandemic, the international political geopolitical crisis and the fluctuation of the international financial market has led to the volatility of industry revenue.In the past five years, the total trading volume of stocks, futures and bonds has increased, which enables industry operators to obtain more transaction costs, which is the largest source of income of the exchange. Overall, industry revenue is expected to rise at an annualized 14.5% over the five years through 2025. This includes an anticipated revenue increase of 10.7% in the current year.With additional regulations and legislation, and further product innovation, China’s securities markets are forecast to continue developing. The comprehensive implementation of the registration system reform has led to the influx of new listed companies into the securities market, resulting in an increase in market activity. Industry revenue is forecast to grow at an annualized 9.1% over the five years through 2030. Since the establishment of new institutions needs to be approved by the State Council, the number of enterprises and establishment in the industry is almost unchanged. The number of enterprises and establishment will remain constant in the next five years. Although no new securities exchanges are anticipated to enter the market over the period, existing exchanges are projected to introduce more products. For example, more financial derivatives, such as treasury futures, will likely be available to trade on financial futures exchanges.

  13. Data from: Fear and Fear Regulation of Chinese and Vietnamese Investors in...

    • zenodo.org
    Updated Feb 14, 2025
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    Quan-Hoang Vuong; Phuong-Tri Nguyen; Ruining Jin; Giang Hoang; Viet-Phuong La; Minh-Hoang Nguyen; Quan-Hoang Vuong; Phuong-Tri Nguyen; Ruining Jin; Giang Hoang; Viet-Phuong La; Minh-Hoang Nguyen (2025). Fear and Fear Regulation of Chinese and Vietnamese Investors in the Extremely Volatile Markets [Dataset]. http://doi.org/10.5281/zenodo.14868465
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    Dataset updated
    Feb 14, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Quan-Hoang Vuong; Phuong-Tri Nguyen; Ruining Jin; Giang Hoang; Viet-Phuong La; Minh-Hoang Nguyen; Quan-Hoang Vuong; Phuong-Tri Nguyen; Ruining Jin; Giang Hoang; Viet-Phuong La; Minh-Hoang Nguyen
    License

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

    Description

    Emotions are fundamental elements driving humans’ decision-making and information processing. Fear is one of the most common emotions influencing investors’ behaviors in the stock market. Although many studies have been conducted to explore the impacts of fear on investors’ investment performance and trading behaviors, little is known about factors contributing to and alleviating investors’ fear during the market crash (or extremely volatile periods) and their fear regulation after the crisis. Thus, the current data descriptor provides details of a dataset of 1526 Chinese and Vietnamese investors, a potential resource for researchers to fill in the gap. The dataset was designed and structured based on the information-processing perspective of the Mindsponge Theory and existing evidence in life sciences. The Bayesian Mindsponge Framework (BMF) analytics validated the data. Insights generated from the dataset are expected to help researchers expand the existing literature on behavioral finance and the psychology of fear, improve the investment effectiveness among investors, and inform policymakers on strategies to mitigate the negative impacts of market crashes on the stock market.

  14. Great Recession: GDP growth for the E7 emerging economies 2007-2011

    • statista.com
    Updated Sep 2, 2024
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    Statista (2024). Great Recession: GDP growth for the E7 emerging economies 2007-2011 [Dataset]. https://www.statista.com/statistics/1346915/great-recession-e7-emerging-economies-gdp-growth/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    The Global Financial Crisis (2007-2008), which began due to the collapse of the U.S. housing market, had a negative effect in many regions across the globe. The global recession which followed the crisis in 2008 and 2009 showed how interdependent and synchronized many of the world's economies had become, with the largest advanced economies showing very similar patterns of negative GDP growth during the crisis. Among the largest emerging economies (commonly referred to as the 'E7'), however, a different pattern emerged, with some countries avoiding a recession altogether. Some commentators have particularly pointed to 2008-2009 as the moment in which China emerged on the world stage as an economic superpower and a key driver of global economic growth. The Great Recession in the developing world While some countries, such as Russia, Mexico, and Turkey, experienced severe recessions due to their connections to the United States and Europe, others such as China, India, and Indonesia managed to record significant economic growth during the period. This can be partly explained by the decoupling from western financial systems which these countries undertook following the Asian financial crises of 1997, making many Asian nations more wary of opening their countries to 'hot money' from other countries. Other likely explanations of this trend are that these countries have large domestic economies which are not entirely reliant on the advanced economies, that their export sectors produce goods which are inelastic (meaning they are still bought during recessions), and that the Chinese economic stimulus worth almost 600 billion U.S. dollars in 2008/2009 increased growth in the region.

  15. Nvidia Shares Fall Amid Chinese Antitrust Investigation - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Nvidia Shares Fall Amid Chinese Antitrust Investigation - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/nvidia-stock-decline-after-china-investigates-antitrust-concerns/
    Explore at:
    doc, pdf, docx, xlsx, xlsAvailable download formats
    Dataset updated
    Jul 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 - Jul 1, 2025
    Area covered
    China
    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

    Nvidia's shares dropped as China launches antitrust probe, spotlighting the 2019 Mellanox acquisition and raising market concerns amid geopolitical tensions.

  16. S

    External Earnings Pressure, Management Tone and Stock Price Crash Risk

    • scidb.cn
    Updated Jun 7, 2023
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    Kuang-Cheng Chai; Jia-Hui Zhang; Zi-Lu Wang; Ke-Chiun Chang; Yang-Yang (2023). External Earnings Pressure, Management Tone and Stock Price Crash Risk [Dataset]. http://doi.org/10.57760/sciencedb.08175
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    Science Data Bank
    Authors
    Kuang-Cheng Chai; Jia-Hui Zhang; Zi-Lu Wang; Ke-Chiun Chang; Yang-Yang
    License

    https://api.github.com/licenses/cc0-1.0https://api.github.com/licenses/cc0-1.0

    Description

    This study uses panel data on Chinese A-share listed companies in Shanghai and Shenzhen covering 2014 to 2020 selected through the following screening: first, we exclude listed companies in the finance and insurance sectors; second, we exclude listed companies in ST and *ST (Special Treatment); finally, we exclude samples that lack important data. This approach generates 8,658 valid research sample observations. The data are obtained from several official websites, such as those for CSMAR (China Stock Market & Accounting Research Database), CNRDS (Chinese Research Data Services), and the Shanghai and Shenzhen stock exchanges.In this study, the descriptive and relevance of the final data was tested using Stata software, and baseline regression, threshold regression, and robustness and heterogeneity tests were performed. The final data were tested for descriptiveness and correlation using Stata software, and baseline regression, threshold regression, and robustness and heterogeneity tests were performed.

  17. f

    Regression results of analyst ratings on stock price collapse risk.

    • plos.figshare.com
    xls
    Updated Mar 28, 2024
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    Yang Li; Yingchun Zhang; Rui Ma; Ruixuan Wang (2024). Regression results of analyst ratings on stock price collapse risk. [Dataset]. http://doi.org/10.1371/journal.pone.0297055.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Li; Yingchun Zhang; Rui Ma; Ruixuan Wang
    License

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

    Description

    Regression results of analyst ratings on stock price collapse risk.

  18. Coking Coal Prices in China Drop Due to Oversupply and Low Steel Demand -...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). Coking Coal Prices in China Drop Due to Oversupply and Low Steel Demand - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/coking-coal-market-in-china-faces-decline-amid-oversupply/
    Explore at:
    doc, xlsx, docx, pdf, xlsAvailable download formats
    Dataset updated
    Jun 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 - Jun 1, 2025
    Area covered
    Australia, China
    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

    The Chinese coking coal market is experiencing a price decline due to oversupply and low steel demand, affecting global market dynamics.

  19. Texas Instruments Stock Declines Amid New Chinese Chip Import Rules - News...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Texas Instruments Stock Declines Amid New Chinese Chip Import Rules - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/texas-instruments-faces-market-volatility-amid-new-chinese-regulations/
    Explore at:
    pdf, xls, docx, xlsx, docAvailable download formats
    Dataset updated
    Jul 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 - Jul 1, 2025
    Area covered
    United States
    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

    Texas Instruments' stock fell 8.3% due to new Chinese regulations on chip imports, raising investor concerns amid U.S.-China trade tensions.

  20. f

    Analyst rating, quality of information disclosure and robustness test of...

    • plos.figshare.com
    xls
    Updated Mar 28, 2024
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    Yang Li; Yingchun Zhang; Rui Ma; Ruixuan Wang (2024). Analyst rating, quality of information disclosure and robustness test of stock price collapse risk. [Dataset]. http://doi.org/10.1371/journal.pone.0297055.t010
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Li; Yingchun Zhang; Rui Ma; Ruixuan Wang
    License

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

    Description

    Analyst rating, quality of information disclosure and robustness test of stock price collapse risk.

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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 (1990-12-19/2025-07-14)

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15 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, excel, jsonAvailable download formats
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 - Jul 14, 2025
Area covered
China
Description

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.

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