100+ datasets found
  1. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 2, 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 - Dec 2, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

  2. T

    Hong Kong Stock Market Index (HK50) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Hong Kong Stock Market Index (HK50) Data [Dataset]. https://tradingeconomics.com/hong-kong/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 2, 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 - Dec 2, 2025
    Area covered
    Hong Kong
    Description

    Hong Kong's main stock market index, the HK50, rose to 26095 points on December 2, 2025, gaining 0.24% from the previous session. Over the past month, the index has declined 0.24%, though it remains 32.15% higher than a year ago, 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 December of 2025.

  3. C

    China CN: Index: Shanghai Stock Exchange: 50 Index

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: Index: Shanghai Stock Exchange: 50 Index [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-indices/cn-index-shanghai-stock-exchange-50-index
    Explore at:
    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
    Variables measured
    Securities Exchange Index
    Description

    China Index: Shanghai Stock Exchange: 50 Index data was reported at 2,633.160 31Dec2003=1000 in Apr 2025. This records a decrease from the previous number of 2,665.630 31Dec2003=1000 for Mar 2025. China Index: Shanghai Stock Exchange: 50 Index data is updated monthly, averaging 2,319.570 31Dec2003=1000 from Jan 2004 (Median) to Apr 2025, with 256 observations. The data reached an all-time high of 4,627.780 31Dec2003=1000 in Oct 2007 and a record low of 731.000 31Dec2003=1000 in May 2005. China Index: Shanghai Stock Exchange: 50 Index data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under Global Database’s China – Table CN.ZA: Shanghai Stock Exchange: Indices.

  4. China Stock Market Daily Price

    • kaggle.com
    zip
    Updated Oct 9, 2022
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    TBHonest (2022). China Stock Market Daily Price [Dataset]. https://www.kaggle.com/datasets/tbhonest/china-stock-market-daily-price
    Explore at:
    zip(437773123 bytes)Available download formats
    Dataset updated
    Oct 9, 2022
    Authors
    TBHonest
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    China
    Description
    • Only market data, eg. stock price, transaction amount, turnover etc. No enterprise data or valuation data included.
    • Only China A-stock is included, B/H stock or ETF or HK listed is out of scope.
    • In China stock market, the small capital stock price fluctuate heavily. It is not effective for long term analysis or modeling. This dataset only contains the stocks whose market capital larger than 3 billion CNY (eqv 500m USD)
    • The data set are split into 4 csv files by market capital at snapshot 2021-12-31 approximately. Please combine them together if you don't have preference on the market capital breakdown.
    • In the label files, label_f{}t{} means whether the stock price change exceed the threshold(t) in future(f) days. eg. label_f5t10 means the price raises over 10% in 5 days after current date(row date).
  5. m

    Data for: Interindustry Volatility Spillover Effects in China's Stock Market...

    • data.mendeley.com
    Updated Oct 14, 2019
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    Xue Jin (2019). Data for: Interindustry Volatility Spillover Effects in China's Stock Market [Dataset]. http://doi.org/10.17632/v2wjf3p42c.1
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    Dataset updated
    Oct 14, 2019
    Authors
    Xue Jin
    License

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

    Area covered
    China
    Description

    The data for this study consist of the daily opening, highest, lowest and closing prices of 10 industry indices, including the energy industry index (EII), raw material industry index (RMII), industrial sector index (ISI), optional consumer industry index (OCII), major consumer industry index (MCII), medical and health industry index (MHII), financial real estate industry index (FEII), information technology industry index (ITII), telecom business industry index (TBII) and utilities industry index (UII) of the Shanghai stock exchange (SSE). The Shanghai Stock Exchange Industry Index can reflect the overall performance of the stocks of companies in different sectors of the Shanghai stock market and provide a target for the development of indexed investment products, especially ETF. The base period was December 31, 2013 with a base point of 1000, which was started in January 9, 2009. The sample period is January 9, 2009 to June 29, 2018 and includes a total of 2303 groups of daily data. These data sets were extracted from the Wind information database. The rates of returns are calculated from yesterday’s and today’s closing prices in the form of a logarithmic expression. The realized range fluctuation rates are calculated using the range estimation method based on the stochastic volatility model.

  6. Tencent Stock Data 2025

    • kaggle.com
    zip
    Updated Jul 24, 2025
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    Umer Haddii (2025). Tencent Stock Data 2025 [Dataset]. https://www.kaggle.com/datasets/umerhaddii/tencent-stock-data-2025
    Explore at:
    zip(100101 bytes)Available download formats
    Dataset updated
    Jul 24, 2025
    Authors
    Umer Haddii
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Tencent Holdings Ltd. is a Chinese tech company that provides messaging services, social networks on the Internet, online media, Internet value-added services, multiplayer online games (MMO, MMORPG), e-commerce and online advertising. The company is behind WeChat and QQ.

    Market cap

    Market capitalization of Tencent (TCEHY)
    
    Market cap: $641.59 Billion USD
    
    

    As of July 2025 Tencent has a market cap of $641.59 Billion USD. This makes Tencent the world's 17th most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

    Revenue

    Revenue for Tencent (TCEHY)
    
    Revenue in 2022: $82.08 Billion USD
    

    According to Tencent's latest financial reports the company's current revenue (TTM ) is $86.19 Billion USD. In 2022 the company made a revenue of $82.08 Billion USD a decrease over the revenue in the year 2021 that were of $86.78 Billion USD. The revenue is the total amount of income that a company generates by the sale of goods or services. Unlike with the earnings no expenses are subtracted.

    Earnings

    Earnings for Tencent (TCEHY)
    
    Earnings in 2022: $32.29 Billion USD
    
    

    According to Tencent's latest financial reports the company's current earnings are $86.19 Billion USD. In 2022 the company made an earning of $32.29 Billion USD a decrease over its 2021 earnings that were of $39.73 Billion USD. The earnings displayed on this page is the company's Pretax Income.

    End of Day market cap according to different sources

    On Jul 23rd, 2025 the market cap of Tencent was reported to be:

    $638.32 Billion USD by CompaniesMarketCap

    Content

    Geography: China

    Time period: January 2010- July 2025

    Unit of analysis: Tencent Stock Data 2025

    Variables

    VariableDescription
    datedate
    openThe price at market open.
    highThe highest price for that day.
    lowThe lowest price for that day.
    closeThe price at market close, adjusted for splits.
    adj_closeThe closing price after adjustments for all applicable splits and dividend distributions. Data is adjusted using appropriate split and dividend multipliers, adhering to Center for Research in Security Prices (CRSP) standards.
    volumeThe number of shares traded on that day.

    Acknowledgements

    This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

  7. C

    China CN: No of New Investor Account: Shanghai SE: Stock: Individual

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: No of New Investor Account: Shanghai SE: Stock: Individual [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-no-of-investor-account/cn-no-of-new-investor-account-shanghai-se-stock-individual
    Explore at:
    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
    Variables measured
    Securities Accounts
    Description

    China Number of New Investor Account: Shanghai SE: Stock: Individual data was reported at 3,056.652 Unit th in Mar 2025. This records an increase from the previous number of 2,830.297 Unit th for Feb 2025. China Number of New Investor Account: Shanghai SE: Stock: Individual data is updated monthly, averaging 564.800 Unit th from Jan 1997 (Median) to Mar 2025, with 339 observations. The data reached an all-time high of 7,218.792 Unit th in Apr 2015 and a record low of 23.800 Unit th in Feb 1999. China Number of New Investor Account: Shanghai SE: Stock: Individual data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under Global Database’s China – Table CN.ZA: Shanghai Stock Exchange: No of Investor Account.

  8. C

    China CN: Market Cap: Shanghai SE: Tradable: Media

    • ceicdata.com
    Updated Jan 31, 2018
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    CEICdata.com (2018). China CN: Market Cap: Shanghai SE: Tradable: Media [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-market-capitalization
    Explore at:
    Dataset updated
    Jan 31, 2018
    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
    Dec 1, 2024 - Nov 1, 2025
    Area covered
    China
    Variables measured
    Market Capitalisation
    Description

    CN: Market Cap: Shanghai SE: Tradable: Media data was reported at 310,131.000 RMB mn in Nov 2025. This records an increase from the previous number of 306,085.000 RMB mn for Oct 2025. CN: Market Cap: Shanghai SE: Tradable: Media data is updated monthly, averaging 63,584.000 RMB mn from Apr 2001 (Median) to Nov 2025, with 295 observations. The data reached an all-time high of 360,637.000 RMB mn in Apr 2023 and a record low of 3,622.100 RMB mn in May 2005. CN: Market Cap: Shanghai SE: Tradable: Media data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Shanghai Stock Exchange: Market Capitalization.

  9. T

    Chinese Yuan Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 1, 2025
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    TRADING ECONOMICS (2025). Chinese Yuan Data [Dataset]. https://tradingeconomics.com/china/currency
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 1, 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
    Jan 2, 1981 - Dec 2, 2025
    Area covered
    China
    Description

    The USD/CNY exchange rate fell to 7.0696 on December 2, 2025, down 0.05% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.81%, and is up by 3.15% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on December of 2025.

  10. S1 Data -

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Nov 30, 2023
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    Han Sun (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0295253.s002
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Han Sun
    License

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

    Description

    Financial reporting quality is critical for businesses, stakeholders, and government to ensure transparency and accountability. The purpose of this paper is to investigate the relationship between corporate governance, financial reporting quality, and ownership structure as a moderating factor for Chinese stock exchange-listed firms. Quantitative data of 550 listed firms from 2012 to 2022 are collected from the annual reports. For investigating the relationship between variables, panel data analysis with random and fixed effect models is used. Our results show that corporate governance’s different attributes such as Auditor brand name, Existence of an audit committee, independent board, family ownership, and profitability have a significant negative impact on the audit report lag that decreases the lags and increases the financial reporting quality in China listed firms. Auditor opinion, Board diligence Board size, and CEO duality have a significant positive impact on the audit report lag that increases the lags and decreases the financial reporting quality of China-listed firms. Furthermore, our findings show that ownership concentration has no moderating effect between corporate governance, different attributes, and financial reporting quality. Family ownership, on the other hand, has a strong moderating effect between corporate governance characteristics and financial reporting quality. However, due to limitations, this study provides the opportunity for future research on corporate governance mechanisms in different cultures and environments. Moreover, this study has some important implications for investors, policymakers, and government.

  11. d

    5-minute high-frequent data for SSE 50, CSI300, CSI500 and CSI 1000 indices

    • search.dataone.org
    • datadryad.org
    Updated Aug 29, 2025
    + more versions
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    Gongtao Zhang; Huanyu Zhao; Rujie Fan (2025). 5-minute high-frequent data for SSE 50, CSI300, CSI500 and CSI 1000 indices [Dataset]. http://doi.org/10.5061/dryad.18931zd65
    Explore at:
    Dataset updated
    Aug 29, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Gongtao Zhang; Huanyu Zhao; Rujie Fan
    Description

    The realized recurrent conditional heteroscedasticity (RealRECH) model improves volatility prediction by integrating long short-term memory (LSTM), a recurrent neural network unit, into the realized generalized autoregressive conditional heteroskedasticity (RealGARCH) model. However, at present, there is no literature on the ability of the RealRECH model to fit and predict volatility in the Chinese market. In this paper, a study is conducted to test the in-sample explainability and out-of-sample prediction ability of the RealRECH model for the SSE50, CSI300, CSI500, and CSI1000 indices in the Chinese market and to determine whether it performs better than the RealGARCH model. The results of the in-sample analysis show that the RealRECH model not only provides better in-sample interpretability for all four indices but also captures the complex dynamics of time series volatility that the RealGARCH model cannot capture, such as long-term dependence and nonlinearity..., The high-frequency data in our research is from the Wind Financial Terminal at Southwestern University of Finance and Economics (SWUFE). SWUFE has purchased access to the Wind Database and has Wind terminals on campus, which allows us to download the data needed for our research from these terminals. Currently, there are no free public channels for accessing high-frequency data on Chinese stock indices. Researchers can either use the Wind Financial Terminal for paid access or purchase it through Chinese exchanges or brokers. , , # 5-minute high-frequent data for SSE 50, CSI300, CSI500 and CSI 1000 indices

    The objective of this study is to conduct in-sample analysis and out-of-sample prediction of the volatility of four Chinese stock indices using the RealGARCH model and the LSTM-RealGARCH(RealRECH)Â model, and to compare their effectiveness in analyzing and predicting the volatility of the Chinese stock indices. Therefore, we divided all data into in-sample and out-of-sample datasets.

    The compressed package Data1 includes 2 folders, which are CSI300 and CSI500, and they both include 2 folders, SMC_for_RealGARCH and SMC_for_LSTM_RealGARCH.

    The compressed package Data2&code includes 3 folders: CSI1000, SSE50 and RealRECH_norm, a compressed package RealRECH_norm and a file realized_china. The folders CSI1000 and SSE50 also include 2 folders, SMC_for_RealGARCH and SMC_for_LSTM_RealGARCH.The file realized_china contains the raw data we used in this study, which includes 5-minute high-frequency data for 2000 tradin...,

  12. C

    China CN: Market Cap: Shanghai SE: Tradable: Preferred

    • ceicdata.com
    Updated Jan 31, 2018
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    CEICdata.com (2018). China CN: Market Cap: Shanghai SE: Tradable: Preferred [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-market-capitalization
    Explore at:
    Dataset updated
    Jan 31, 2018
    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
    Dec 1, 2024 - Nov 1, 2025
    Area covered
    China
    Variables measured
    Market Capitalisation
    Description

    CN: Market Cap: Shanghai SE: Tradable: Preferred data was reported at 689,393.000 RMB mn in Nov 2025. This records a decrease from the previous number of 695,110.000 RMB mn for Oct 2025. CN: Market Cap: Shanghai SE: Tradable: Preferred data is updated monthly, averaging 759,754.000 RMB mn from Dec 2021 (Median) to Nov 2025, with 48 observations. The data reached an all-time high of 791,000.000 RMB mn in Jun 2022 and a record low of 689,393.000 RMB mn in Nov 2025. CN: Market Cap: Shanghai SE: Tradable: Preferred data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Shanghai Stock Exchange: Market Capitalization.

  13. S1 File -

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    txt
    Updated Dec 30, 2024
    + more versions
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    Yingdong Wang; Qingbo Li (2024). S1 File - [Dataset]. http://doi.org/10.1371/journal.pone.0316337.s002
    Explore at:
    txtAvailable download formats
    Dataset updated
    Dec 30, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yingdong Wang; Qingbo Li
    License

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

    Description

    Green development is related to the long-term sustainable development of enterprises, but there is little literature on the impact of information and communication technology (ICT) investment on green development of enterprises. To fill this gap, based on the sample of A-share high-polluting industry enterprises in China’s Shanghai and Shenzhen stock markets from 2007 to 2019, this paper uses the dynamic panel threshold model to deeply study the non-linear impact of ICT investment on green development. This paper found that: (1) there is a threshold effect on the impact of ICT investment on green development of enterprises in high-polluting industries, and when ICT investment breaks through the threshold value, it can promote green development. This conclusion remains robust after the estimation of Multi-period DID model and instrumental variable; (2) ICT investment mainly promotes green development of enterprises by improving production efficiency and promoting green technology innovation; (3) ICT investment has a significant impact on green development of enterprises with higher management level, heavy industrial enterprises and non-state-owned enterprises, but has no significant impact on green development of enterprises with lower management level, light industrial enterprises and state-owned enterprises. And digital technology investment has a stronger role in promoting green development than traditional ICT investment. This paper proposes that enterprises in high-pollution industries can increase ICT investment to promote green development.

  14. C

    China CN: No of Listed Securities: Shanghai SE: Fund: REITs

    • ceicdata.com
    Updated Mar 26, 2018
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    CEICdata.com (2018). China CN: No of Listed Securities: Shanghai SE: Fund: REITs [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-no-of-listed-companies-and-securities
    Explore at:
    Dataset updated
    Mar 26, 2018
    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
    Dec 1, 2024 - Nov 1, 2025
    Area covered
    China
    Variables measured
    Number of Securities
    Description

    CN: No of Listed Securities: Shanghai SE: Fund: REITs data was reported at 52.000 Unit in Nov 2025. This records an increase from the previous number of 51.000 Unit for Oct 2025. CN: No of Listed Securities: Shanghai SE: Fund: REITs data is updated monthly, averaging 19.000 Unit from Jun 2021 (Median) to Nov 2025, with 54 observations. The data reached an all-time high of 52.000 Unit in Nov 2025 and a record low of 5.000 Unit in Nov 2021. CN: No of Listed Securities: Shanghai SE: Fund: REITs data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Shanghai Stock Exchange: No of Listed Companies and Securities.

  15. d

    Replication Data for: To see is to believe: Corporate site visits and mutual...

    • search.dataone.org
    Updated Dec 16, 2023
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    Xiang, Cheng (2023). Replication Data for: To see is to believe: Corporate site visits and mutual fund herding [Dataset]. http://doi.org/10.7910/DVN/ZTPV3I
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Xiang, Cheng
    Description

    Using a unique data set of corporate site visits by mutual funds to Chinese firms listed on the Shenzhen Stock Exchange from 2013 to 2021, we find that firms with visits (more visits) are associated with lower mutual fund herding than those with no (fewer) visits. In addition, we demonstrate that mutual funds’ visits to a firm drive the change in their herding propensity by verifying hard information (e.g., the firm’s technology, innovation, accounting, and finance information) and obtaining soft information (e.g., management’s risk appetite, employee morale, and corporate culture). Furthermore, corporate site visits are found to strengthen herding’s price impact without return reversals. Overall, our results are consistent with information cascade theory.

  16. Data from: Hausman specification test.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Nov 30, 2023
    + more versions
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    Han Sun (2023). Hausman specification test. [Dataset]. http://doi.org/10.1371/journal.pone.0295253.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Han Sun
    License

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

    Description

    Financial reporting quality is critical for businesses, stakeholders, and government to ensure transparency and accountability. The purpose of this paper is to investigate the relationship between corporate governance, financial reporting quality, and ownership structure as a moderating factor for Chinese stock exchange-listed firms. Quantitative data of 550 listed firms from 2012 to 2022 are collected from the annual reports. For investigating the relationship between variables, panel data analysis with random and fixed effect models is used. Our results show that corporate governance’s different attributes such as Auditor brand name, Existence of an audit committee, independent board, family ownership, and profitability have a significant negative impact on the audit report lag that decreases the lags and increases the financial reporting quality in China listed firms. Auditor opinion, Board diligence Board size, and CEO duality have a significant positive impact on the audit report lag that increases the lags and decreases the financial reporting quality of China-listed firms. Furthermore, our findings show that ownership concentration has no moderating effect between corporate governance, different attributes, and financial reporting quality. Family ownership, on the other hand, has a strong moderating effect between corporate governance characteristics and financial reporting quality. However, due to limitations, this study provides the opportunity for future research on corporate governance mechanisms in different cultures and environments. Moreover, this study has some important implications for investors, policymakers, and government.

  17. C

    China CN: No of Listed Securities: Shanghai SE: Public Health

    • ceicdata.com
    Updated Nov 15, 2025
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    CEICdata.com (2025). China CN: No of Listed Securities: Shanghai SE: Public Health [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-no-of-listed-companies-and-securities/cn-no-of-listed-securities-shanghai-se-public-health
    Explore at:
    Dataset updated
    Nov 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
    Dec 1, 2024 - Nov 1, 2025
    Area covered
    China
    Variables measured
    Number of Securities
    Description

    China Number of Listed Securities: Shanghai SE: Public Health data was reported at 4.000 Unit in Nov 2025. This stayed constant from the previous number of 4.000 Unit for Oct 2025. China Number of Listed Securities: Shanghai SE: Public Health data is updated monthly, averaging 3.000 Unit from Jan 2013 (Median) to Nov 2025, with 155 observations. The data reached an all-time high of 4.000 Unit in Nov 2025 and a record low of 1.000 Unit in Jan 2017. China Number of Listed Securities: Shanghai SE: Public Health data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Shanghai Stock Exchange: No of Listed Companies and Securities.

  18. T

    China Capital Flows

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China Capital Flows [Dataset]. https://tradingeconomics.com/china/capital-flows
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Mar 14, 2024
    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
    Mar 31, 1998 - Jun 30, 2025
    Area covered
    China
    Description

    China recorded a capital and financial account deficit of 1369.75 USD Hundred Million in the second quarter of 2025. This dataset provides - China Capital Flows - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  19. C

    China CN: No of Depository Securities: Shanghai SE: ABS

    • ceicdata.com
    Updated Mar 25, 2025
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    CEICdata.com (2025). China CN: No of Depository Securities: Shanghai SE: ABS [Dataset]. https://www.ceicdata.com/en/china/shanghai-stock-exchange-depository-securities--daily/cn-no-of-depository-securities-shanghai-se-abs
    Explore at:
    Dataset updated
    Mar 25, 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 10, 2025 - Mar 25, 2025
    Area covered
    China
    Description

    China Number of Depository Securities: Shanghai SE: ABS data was reported at 4,535.000 Unit in 13 May 2025. This records an increase from the previous number of 4,526.000 Unit for 12 May 2025. China Number of Depository Securities: Shanghai SE: ABS data is updated daily, averaging 4,141.000 Unit from Jun 2018 (Median) to 13 May 2025, with 1680 observations. The data reached an all-time high of 4,586.000 Unit in 25 Mar 2025 and a record low of 2,085.000 Unit in 11 Jun 2018. China Number of Depository Securities: Shanghai SE: ABS data remains active status in CEIC and is reported by Shanghai Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Shanghai Stock Exchange: Depository Securities : Daily.

  20. T

    China Foreign Direct Investment

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, China Foreign Direct Investment [Dataset]. https://tradingeconomics.com/china/foreign-direct-investment
    Explore at:
    csv, json, 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
    Jan 31, 1997 - Oct 31, 2025
    Area covered
    China
    Description

    Foreign Direct Investment in China increased by 507 USD Hundred Million in August of 2025. This dataset provides the latest reported value for - China Foreign Direct Investment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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Email
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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 (1990-12-19/2025-12-02)

Explore at:
15 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, excel, jsonAvailable download formats
Dataset updated
Dec 2, 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 - Dec 2, 2025
Area covered
China
Description

China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

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