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

    • statista.com
    Updated Nov 29, 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
    Nov 29, 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.

  3. 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.

  4. H

    Data from: Minority State Ownership and Firm Performance: Evidence from the...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Feb 12, 2024
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    Si, Fangbo (2024). Minority State Ownership and Firm Performance: Evidence from the Chinese Stock Market Crash in 2015 [Dataset]. http://doi.org/10.7910/DVN/FZRBHY
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 12, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Si, Fangbo
    License

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

    Description

    We examine the effect of minority state ownership on firm performance using the Chinese stock market crash in 2015. We find that treatment firms with minority state ownership accumulated from governmental purchases of equities experience significant reductions in operating performance. The negative impact is more severe in firms with higher riskiness and firms with less powerful large shareholders. We also find that treatment firms’ risk decreases and their employment increases after minority state shareholders step in, providing supportive evidence on the government’s motives of reducing risk and preventing mass layoffs. Further tests reveal the channels through which minority state ownership impedes investment efficiency, productivity, and innovation. The negative impact diminishes when government institutions divest their shares in a timely manner. Overall, our results suggest there are unintended negative consequences of minority state ownership arising from the governmental rescue package in a market crisis.

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

    • statista.com
    Updated Nov 29, 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
    Nov 29, 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.

  6. 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

    Area covered
    China
    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

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

    • statista.com
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    Statista, 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/
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    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.

  8. U.S.-China Trade Tensions Sink Global Shares Ahead of Summit - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). U.S.-China Trade Tensions Sink Global Shares Ahead of Summit - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/global-shares-fall-as-us-china-trade-tensions-mount-ahead-of-summit/
    Explore at:
    pdf, doc, xls, docx, xlsxAvailable download formats
    Dataset updated
    Oct 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 - Oct 14, 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

    Analysis of global market downturn driven by escalating U.S.-China trade tensions ahead of crucial October summit, with safe haven assets rallying amid investor uncertainty.

  9. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 24, 2025
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    TRADING ECONOMICS (2025). Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Oct 24, 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
    Sep 22, 1997 - Dec 2, 2025
    Area covered
    Russia
    Description

    Russia's main stock market index, the MOEX, fell to 2681 points on December 2, 2025, losing 0.20% from the previous session. Over the past month, the index has climbed 4.30% and is up 5.58% 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 December of 2025.

  10. S

    External Earnings Pressure, Management Tone and Stock Price Crash Risk

    • scidb.cn
    Updated Jun 7, 2023
    + more versions
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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
    Explore at:
    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.

  11. Leading securities companies in China based on value of client monies 2021

    • statista.com
    Updated Oct 9, 2025
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    Statista (2025). Leading securities companies in China based on value of client monies 2021 [Dataset]. https://www.statista.com/statistics/1053382/china-client-monies-of-leading-securities-companies/
    Explore at:
    Dataset updated
    Oct 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 managed client monies amounting to around *** billion yuan, ranking first among all securities companies 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.

  12. Descriptive statistics of stock market returns.

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

  13. Copper Market Declines as US-China Trade Tensions Ease - News and Statistics...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). Copper Market Declines as US-China Trade Tensions Ease - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/copper-market-faces-downturn-amid-eased-us-china-trade-tensions/
    Explore at:
    pdf, xlsx, xls, doc, docxAvailable download formats
    Dataset updated
    Oct 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 - Oct 1, 2025
    Area covered
    Indonesia, China, 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

    The copper market saw a significant price drop this week due to eased US-China trade tensions, despite a 16% surge since the year's start. China's copper imports hit a five-year high, while investment opportunities in the sector remain attractive.

  14. Automotive Crash Test Dummies Market Analysis, Size, and Forecast 2025-2029:...

    • technavio.com
    pdf
    Updated Dec 17, 2024
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    Technavio (2024). Automotive Crash Test Dummies Market Analysis, Size, and Forecast 2025-2029: Europe (France, Germany, Italy, Spain, UK), North America (Canada), APAC (China, India, Japan, South Korea), South America (Brazil), and Middle East and Africa (UAE) [Dataset]. https://www.technavio.com/report/automotive-crash-test-dummies-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Dec 17, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    Germany, Canada
    Description

    Snapshot img

    Automotive Crash Test Dummies Market Size 2025-2029

    The automotive crash test dummies market size is valued to increase USD 17.2 million, at a CAGR of 2.9% from 2024 to 2029. Increasing need for crash and safety testing will drive the automotive crash test dummies market.

    Major Market Trends & Insights

    Europe dominated the market and accounted for a 44% growth during the forecast period.
    By Product - Male crash test dummy segment was valued at USD 78.30 million in 2023
    By Application - Passenger vehicle segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 27.68 million
    Market Future Opportunities: USD 17.20 million
    CAGR : 2.9%
    Europe: Largest market in 2023
    

    Market Summary

    The market encompasses the production and distribution of advanced testing solutions designed to evaluate the safety and durability of vehicles in collisions. This market is driven by the increasing need for stringent crash and safety testing, with a focus on both occupant and pedestrian protection systems. One notable trend is the rising popularity of crash test simulators, which offer more precise and cost-effective testing capabilities than traditional methods. According to a recent study, the global market share for crash test dummies is projected to reach 35% by 2026, reflecting a significant growth trajectory.
    Core technologies, such as biomechanical modeling and advanced sensor systems, continue to evolve, enabling more accurate and comprehensive testing. Regulations, including mandatory safety standards and increasing consumer expectations, also play a crucial role in shaping market dynamics.
    

    What will be the Size of the Automotive Crash Test Dummies Market during the forecast period?

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    How is the Automotive Crash Test Dummies Market Segmented and what are the key trends of market segmentation?

    The automotive crash test dummies industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Product
    
      Male crash test dummy
      Female crash test dummy
      Child crash test dummy
    
    
    Application
    
      Passenger vehicle
      Commercial vehicle
    
    
    Type
    
      Frontal Impact Testing
      Side Impact Testing
      Rear Impact Testing
      Pedestrian Impact Testing
    
    
    End-user Industry
    
      Automotive Manufacturers
      Government & Regulatory Agencies and Research
      Testing Centers
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Product Insights

    The male crash test dummy segment is estimated to witness significant growth during the forecast period.

    The automotive crash testing industry is driven by the continuous evolution of vehicle safety standards and the increasing demand for improved occupant protection. According to recent studies, the market for crash test dummies experienced a 21.3% increase in sales last year, with an anticipated expansion of 25.6% in the coming years. This growth is attributed to the development of advanced anthropomorphic dummies, which simulate human body responses to various impact forces during crashworthiness testing. These dummies are designed to measure injuries such as pelvis, neck, head, and leg injuries, as well as chest deceleration and abdominal impact.

    Request Free Sample

    The Male crash test dummy segment was valued at USD 78.30 million in 2019 and showed a gradual increase during the forecast period.

    Crash test sensors, including accelerometers, load cells, and strain gauges, are integrated into the dummies to collect data during collision dynamics. This information is then analyzed using simulation software and finite element analysis to predict injuries and optimize vehicle safety features. Furthermore, the industry is expanding beyond traditional male crash test dummies. Manufacturers like Humanetics are addressing the need for more diverse body structures by producing female and child crash test dummies. These dummies are essential for side impact protection and pedestrian protection testing. Moreover, the industry is focusing on improving biofidelity testing, which measures the correlation between dummy response and human response.

    This is crucial for accurately predicting injuries and ensuring the effectiveness of safety regulations. The future of crash test dummies lies in their ability to provide accurate, reliable, and comprehensive injury prediction, ultimately enhancing overall vehicle safety.

    Request Free Sample

    Regional Analysis

    Europe is estimated to contribute 44% to the growt

  15. Data from: Data and data sources.

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Cheng Hu; Wei Pan; Wulin Pan; Wan-qiang Dai; Ge Huang (2023). Data and data sources. [Dataset]. http://doi.org/10.1371/journal.pone.0272024.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cheng Hu; Wei Pan; Wulin Pan; Wan-qiang Dai; Ge Huang
    License

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

    Description

    Data and data sources.

  16. Descriptive statistics.

    • plos.figshare.com
    xls
    Updated Sep 19, 2025
    + more versions
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    Wanbo Lu; Qibo Liu; Haofang Li (2025). Descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0332909.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 19, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanbo Lu; Qibo Liu; Haofang Li
    License

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

    Description

    This paper employs the mixed-frequency Granger causality test, reverse unconstrained mixed-frequency data sampling models, and Chinese data from January 2006 to June 2024 to test the nexus between consumer confidence and the macroeconomy. The results show that changes in the real estate market, GDP, and urban unemployment rate are Granger causes of consumer confidence. In reverse, consumer confidence is a Granger cause of the CPI. Second, GDP and the real estate market (CPI and urban unemployment rate) have a significant positive (negative) impact on consumer confidence, while the conditions of industrial production, interest rate, and stock market do not. Third, the “animal spirits” extracted from consumer confidence cannot lead to noticeable fluctuations in China’s macroeconomy. This suggests that the “animal spirits” will not dominate economic growth, even though they affect the macroeconomy slightly and inevitably. The results are robust after replacing the dependent variable and considering the influence of the global financial crisis and the COVID-19 pandemic.

  17. CWT plots comparison of the COVID-19 and the GFC.

    • plos.figshare.com
    xls
    Updated Jun 12, 2023
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    Cheng Hu; Wei Pan; Wulin Pan; Wan-qiang Dai; Ge Huang (2023). CWT plots comparison of the COVID-19 and the GFC. [Dataset]. http://doi.org/10.1371/journal.pone.0272024.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cheng Hu; Wei Pan; Wulin Pan; Wan-qiang Dai; Ge Huang
    License

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

    Description

    CWT plots comparison of the COVID-19 and the GFC.

  18. Variable definitions and data sources.

    • plos.figshare.com
    xls
    Updated Sep 19, 2025
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    Wanbo Lu; Qibo Liu; Haofang Li (2025). Variable definitions and data sources. [Dataset]. http://doi.org/10.1371/journal.pone.0332909.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Sep 19, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanbo Lu; Qibo Liu; Haofang Li
    License

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

    Description

    This paper employs the mixed-frequency Granger causality test, reverse unconstrained mixed-frequency data sampling models, and Chinese data from January 2006 to June 2024 to test the nexus between consumer confidence and the macroeconomy. The results show that changes in the real estate market, GDP, and urban unemployment rate are Granger causes of consumer confidence. In reverse, consumer confidence is a Granger cause of the CPI. Second, GDP and the real estate market (CPI and urban unemployment rate) have a significant positive (negative) impact on consumer confidence, while the conditions of industrial production, interest rate, and stock market do not. Third, the “animal spirits” extracted from consumer confidence cannot lead to noticeable fluctuations in China’s macroeconomy. This suggests that the “animal spirits” will not dominate economic growth, even though they affect the macroeconomy slightly and inevitably. The results are robust after replacing the dependent variable and considering the influence of the global financial crisis and the COVID-19 pandemic.

  19. f

    S1 Data -

    • figshare.com
    xlsx
    Updated Jan 2, 2024
    + more versions
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    Yu Lou; Chao Xiao; Yi Lian (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0296501.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jan 2, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yu Lou; Chao Xiao; Yi Lian
    License

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

    Description

    This study investigates the dynamic and asymmetric propagation of return spillovers between sectoral commodities and industry stock markets in China. Using a daily dataset from February 2007 to July 2022, we employ a time-varying vector autoregressive (TVP-VAR) model to examine the asymmetric return spillovers and dynamic connectedness across sectors. The results reveal significant time-varying spillovers among these sectors, with the industry stocks acting as the primary transmitter of information to the commodity market. Materials, energy, and industrials stock sectors contribute significantly to these spillovers due to their close ties to commodity production and processing. The study also identifies significant asymmetric spillovers with bad returns dominating, influenced by major economic and political events such as the 2008 global financial crisis, the 2015 Chinese stock market crisis, the COVID-19 pandemic, and the Russia-Ukraine war. Furthermore, our study highlights the unique dynamics within the Chinese market, where net information spillovers from the stock market to commodities drive the financialization process, which differs from the bidirectional commodity financialization observed in other markets. Finally, portfolio analysis reveals that the minimum connectedness portfolio outperforms other approaches and effectively reflects asymmetries. Understanding these dynamics and sectoral heterogeneities has important implications for risk management, policy development, and trading practices.

  20. f

    S1 Data -

    • figshare.com
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    Updated Jan 25, 2024
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    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0296712.s001
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    xlsxAvailable download formats
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din
    License

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

    Description

    The growing trend of interdependence between the international stock markets indicated the amalgamation of risk across borders that plays a significant role in portfolio diversification by selecting different assets from the financial markets and is also helpful for making extensive economic policy for the economies. By applying different methodologies, this study undertakes the volatility analysis of the emerging and OECD economies and analyzes the co-movement pattern between them. Moreover, with that motive, using the wavelet approach, we provide strong evidence of the short and long-run risk transfer over different time domains from Malaysia to its trading partners. Our findings show that during the Asian financial crisis (1997–98), Malaysia had short- and long-term relationships with China, Germany, Japan, Singapore, the UK, and Indonesia due to both high and low-frequency domains. Meanwhile, after the Global financial crisis (2008–09), it is being observed that Malaysia has long-term and short-term synchronization with emerging (China, India, Indonesia), OECD (Germany, France, USA, UK, Japan, Singapore) stock markets but Pakistan has the low level of co-movement with Malaysian stock market during the global financial crisis (2008–09). Moreover, it is being seen that Malaysia has short-term at both high and low-frequency co-movement with all the emerging and OECD economies except Japan, Singapore, and Indonesia during the COVID-19 period (2020–21). Japan, Singapore, and Indonesia have long-term synchronization relationships with the Malaysian stock market at high and low frequencies during COVID-19. While in a leading-lagging relationship, Malaysia’s stock market risk has both leading and lagging behavior with its trading partners’ stock market risk in the selected period; this behavior changes based on the different trade and investment flow factors. Moreover, DCC-GARCH findings shows that Malaysian market has both short term and long-term synchronization with trading partners except USA. Conspicuously, the integration pattern seems that the cooperation development between stock markets matters rather than the regional proximity in driving the cointegration. The study findings have significant implications for investors, governments, and policymakers around the globe.

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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)

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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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