39 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. 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.

  3. 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.

  4. 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

  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. 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.

  7. Income of margin financing & securities business of China's securities...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Income of margin financing & securities business of China's securities companies 2021 [Dataset]. https://www.statista.com/statistics/1052851/china-interest-income-from-margin-financing-and-securities-lending-business-of-leading-securities-companies/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    China
    Description

    In 2021, the interest income from margin financing and securities lending business of CITIC Securities amounted to around *** billion yuan, ranking first among China's securities companies. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

  8. 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.

  9. 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.

  10. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
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    json, csv, excel, xmlAvailable 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
    Sep 22, 1997 - Jul 11, 2025
    Area covered
    Russia
    Description

    Russia's main stock market index, the MOEX, fell to 2642 points on July 11, 2025, losing 3.31% from the previous session. Over the past month, the index has declined 3.94% and is down 11.21% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on July of 2025.

  11. 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.

  12. 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.

  13. 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.

  14. m

    China Car Insurance Market Size & Share Analysis - Industry Research Report...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jan 24, 2024
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    China Car Insurance Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/china-car-insurance-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 24, 2024
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2020 - 2030
    Area covered
    China
    Description

    China's Car Insurance Market is Segmented by Coverage (third-Party Liability Coverage, Collision/comprehensive/other Optional Coverage), Application (personal Vehicles, Commercial Vehicles), and Distribution Channel (direct Sales, Individual Agents, Brokers, Banks, Online, and Other Distribution Channels). The Report Offers Market Size and Forecasts for the China Car Insurance Market in Value (USD) for all the Above Segments.

  15. Leading securities companies in China for asset management business 2021

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Leading securities companies in China for asset management business 2021 [Dataset]. https://www.statista.com/statistics/1053341/china-income-from-asset-management-business-of-leading-securities-companies/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    China
    Description

    In 2021, China's securities company Orient Securities generated an income of around *** billion yuan from its asset management business. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

  16. Leading securities companies in China based on net profit 2021

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Leading securities companies in China based on net profit 2021 [Dataset]. https://www.statista.com/statistics/1053243/china-net-profit-of-leading-securities-companies/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    China
    Description

    In 2021, China's securities company CITIC Securities generated net profits of around ** billion yuan, ranking first in China. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

  17. f

    Descriptive statistics of the model (7).

    • plos.figshare.com
    xls
    Updated Dec 14, 2023
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    Minh Phuoc-Bao Tran; Duc Hong Vo (2023). Descriptive statistics of the model (7). [Dataset]. http://doi.org/10.1371/journal.pone.0290680.t002
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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.

  18. C

    China Car Insurance Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 6, 2025
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    Data Insights Market (2025). China Car Insurance Market Report [Dataset]. https://www.datainsightsmarket.com/reports/china-car-insurance-market-4713
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

    Time period covered
    2025 - 2033
    Area covered
    China
    Variables measured
    Market Size
    Description

    The diverse product offerings within the China car insurance market cater to a broad spectrum of consumer needs, encompassing: Third-Party Liability Coverage (TPL): Mandated coverage providing protection against financial liabilities arising from bodily injury or property damage caused to third parties in accidents. Collision/Comprehensive Coverage: Offers comprehensive protection for the insured vehicle against various risks, including collisions, theft, and other forms of damage. This often includes coverage for repairs, replacement, and associated expenses. Optional Add-on Coverages: A wide array of supplemental coverages enhances policy protection, encompassing roadside assistance, medical expenses, driver injury protection, and other customized options to address specific risk profiles. Recent developments include: May 2022: Auto Services Group Limited, which exists as a leading provider of digitalized auto services and auto insurance through Sun Car Online Insurance Agency in China, merged with Goldenbridge Acquisition Limited, a British Virgin Islands special purpose acquisition company., January 2023: China's auto insurance technology platform Cheche Group merged with the Prime Impact Acquisition I. Cheche Group exists as China's auto insurance company, digitizing the end-to-end insurance purchasing process, and Prime Impact exists as a company focusing on acquisition opportunities and building data-centric technology companies.. Key drivers for this market are: Rising Sales of Cars in the China, Increase in Road Traffic Accidents. Potential restraints include: Increase in Cost of Claim, Increase in False Claims and Scams. Notable trends are: Rising Road Traffic Accidents.

  19. f

    Analyst rating and risk of stock price collapse: Heterogeneity test.

    • plos.figshare.com
    xls
    Updated Mar 28, 2024
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    Yang Li; Yingchun Zhang; Rui Ma; Ruixuan Wang (2024). Analyst rating and risk of stock price collapse: Heterogeneity test. [Dataset]. http://doi.org/10.1371/journal.pone.0297055.t007
    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 and risk of stock price collapse: Heterogeneity test.

  20. T

    Traffic Accident Insurance Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 21, 2025
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    Archive Market Research (2025). Traffic Accident Insurance Report [Dataset]. https://www.archivemarketresearch.com/reports/traffic-accident-insurance-565492
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    pdf, ppt, docAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global traffic accident insurance market is experiencing robust growth, driven by rising vehicle ownership, increasing urbanization, and stricter government regulations mandating insurance coverage. While precise figures for market size and CAGR aren't provided, a reasonable estimation, considering the numerous players and geographical spread, places the 2025 market size at approximately $150 billion USD. This substantial figure reflects the significant economic impact of road accidents globally. Considering the industry's historical growth and projected future trends – including advancements in autonomous driving technology (which could eventually impact claim rates), evolving demographic trends (aging populations in some regions), and fluctuations in fuel prices influencing vehicle usage – a conservative Compound Annual Growth Rate (CAGR) of 5% is plausible for the forecast period (2025-2033). This growth will be influenced by factors such as increased awareness of insurance benefits, expanding digital distribution channels, and the introduction of innovative insurance products catering to specific needs. Segmentation within the market is multifaceted. The application segment includes children, adults, and senior citizens, each with unique risk profiles and insurance needs. By vehicle type, the market is divided into plane, car, ship, train, and others, with car insurance likely dominating the market share due to the high volume of road accidents. Geographical distribution reveals a significant concentration in North America and Europe, driven by higher vehicle ownership and a well-established insurance sector. Emerging markets in Asia-Pacific and other regions are poised for substantial growth, presenting both opportunities and challenges for insurers. The leading companies listed represent a mix of global players and regional insurers, highlighting the competitive landscape and varied strategies employed within this sector. The study period (2019-2033), with a base year of 2025 and a forecast period of 2025-2033, provides a comprehensive perspective on past performance and future projections.

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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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