54 datasets found
  1. T

    China Stock Price Volatility

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
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    TRADING ECONOMICS (2017). China Stock Price Volatility [Dataset]. https://tradingeconomics.com/china/stock-price-volatility-wb-data.html
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 27, 2017
    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 1, 1976 - Dec 31, 2025
    Area covered
    China
    Description

    Actual value and historical data chart for China Stock Price Volatility

  2. F

    Volatility of Stock Price Index for China

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
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    (2024). Volatility of Stock Price Index for China [Dataset]. https://fred.stlouisfed.org/series/DDSM01CNA066NWDB
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    jsonAvailable download formats
    Dataset updated
    May 7, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    China
    Description

    Graph and download economic data for Volatility of Stock Price Index for China (DDSM01CNA066NWDB) from 1991 to 2021 about volatility, stocks, China, price index, indexes, and price.

  3. F

    Volatility of Stock Price Index for Hong Kong SAR, China

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
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    (2024). Volatility of Stock Price Index for Hong Kong SAR, China [Dataset]. https://fred.stlouisfed.org/series/DDSM01HKA066NWDB
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    jsonAvailable download formats
    Dataset updated
    May 7, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Hong Kong
    Description

    Graph and download economic data for Volatility of Stock Price Index for Hong Kong SAR, China (DDSM01HKA066NWDB) from 1984 to 2021 about Hong Kong, volatility, stocks, price index, indexes, and price.

  4. 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.

  5. F

    CBOE China ETF Volatility Index (DISCONTINUED)

    • fred.stlouisfed.org
    json
    Updated Feb 14, 2022
    + more versions
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    (2022). CBOE China ETF Volatility Index (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/VXFXICLS
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    jsonAvailable download formats
    Dataset updated
    Feb 14, 2022
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    China
    Description

    Graph and download economic data for CBOE China ETF Volatility Index (DISCONTINUED) (VXFXICLS) from 2011-03-16 to 2022-02-11 about ETF, VIX, volatility, stock market, China, and USA.

  6. n

    Money Supply, House Price and the Stock Market Dynamics in China: Evidence...

    • narcis.nl
    • data.mendeley.com
    Updated Aug 1, 2019
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    Hong, Y (via Mendeley Data) (2019). Money Supply, House Price and the Stock Market Dynamics in China: Evidence from a TVP-VAR Model with Stochastic Volatility [Dataset]. http://doi.org/10.17632/w34rgh6zgr.1
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    Dataset updated
    Aug 1, 2019
    Dataset provided by
    Data Archiving and Networked Services (DANS)
    Authors
    Hong, Y (via Mendeley Data)
    Area covered
    China
    Description

    The house price data are collected from the official website of China's National Bureau of Statistics . We acquired the month-on-month growth data of the house price for 70 large and medium-sized representative cities in China since January 2006, then compiled the composite house price index (Houidx) based on January 2006 as 100. We use the Shanghai stock exchange composite index (SSEI) to measure the stock market price level, and the seasonal adjusted broad money M2 (M2) to proxy for the money supplying, both indexes are collected from the Wind database. The monthly house price shock (hous), stock price change (ssei) or the money supply growth (m2) are calculated as (ln(Idxt) - ln(Idxt-1))×100, where Index are the Houidx, SSEI or M2, correspondingly. 158 observations from February 2006 to March 2019 are obtained.

  7. Descriptive statistics of sector volatilities.

    • plos.figshare.com
    xls
    Updated Sep 5, 2025
    + more versions
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    Fusheng Xie; Hongjie Wei (2025). Descriptive statistics of sector volatilities. [Dataset]. http://doi.org/10.1371/journal.pone.0330599.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Fusheng Xie; Hongjie Wei
    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 volatility connectedness across 28 sectors in the Chinese stock market, aiming to discern the risk spillovers and their implications for financial security and economic stability. Employing a network connectedness approach, we analyze the volatility connectedness’s characteristics and dynamic evolution among various sectors. The findings indicate that manufacturing industries exhibit a high degree of correlation among themselves and predominantly function as exporters of risk spillovers. Conversely, the financial industry emerges as a primary recipient, characterized by a relatively low correlation to other sectors. During the COVID-19 epidemic, risk correlation within China’s stock market sectors experienced an increase, which, however, did not persist as the epidemic progressed. Furthermore, the conflict between Russia and Ukraine exerted a limited contagion effect on China’s stock market risks. These insights offer valuable guidance for China in managing economic and financial risks more effectively.

  8. Z

    Data for Measuring the Market Impact of New Auditing Standards in China

    • data.niaid.nih.gov
    Updated Aug 21, 2020
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    Wu, Xiancong; Skolnik, Richard; Luo, Hongxiu (2020). Data for Measuring the Market Impact of New Auditing Standards in China [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3992230
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    Dataset updated
    Aug 21, 2020
    Dataset provided by
    Second Affiliated Hospital of the Army Medical University
    SUNY Oswego
    Southwest University of Political Science and Law
    Authors
    Wu, Xiancong; Skolnik, Richard; Luo, Hongxiu
    License

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

    Area covered
    China
    Description

    Data used in a study of the market impact of new auditing standards in China. The data includes 76 companies listed on the A+H share markets that were subject to the new auditing standards in 2017. It also includes 76 companies listed on the A share market which were matched with the experimental sample using the Propensity-Score Matching method. Files include 2016 & 2017 cumulative abnormal returns (CAR) and volatility (Vol) for the experimental group (A+H shares) and the control group (A shares) and control variables for both groups.

  9. Dataset used for analysis.

    • plos.figshare.com
    zip
    Updated Sep 5, 2025
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    Fusheng Xie; Hongjie Wei (2025). Dataset used for analysis. [Dataset]. http://doi.org/10.1371/journal.pone.0330599.s001
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Fusheng Xie; Hongjie Wei
    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 volatility connectedness across 28 sectors in the Chinese stock market, aiming to discern the risk spillovers and their implications for financial security and economic stability. Employing a network connectedness approach, we analyze the volatility connectedness’s characteristics and dynamic evolution among various sectors. The findings indicate that manufacturing industries exhibit a high degree of correlation among themselves and predominantly function as exporters of risk spillovers. Conversely, the financial industry emerges as a primary recipient, characterized by a relatively low correlation to other sectors. During the COVID-19 epidemic, risk correlation within China’s stock market sectors experienced an increase, which, however, did not persist as the epidemic progressed. Furthermore, the conflict between Russia and Ukraine exerted a limited contagion effect on China’s stock market risks. These insights offer valuable guidance for China in managing economic and financial risks more effectively.

  10. Securities Exchanges Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Jul 9, 2025
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    Technavio (2025). Securities Exchanges Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Switzerland, and UK), APAC (China, Hong Kong, India, and Japan), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/securities-exchanges-market-analysis
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    pdfAvailable download formats
    Dataset updated
    Jul 9, 2025
    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
    United States, Canada
    Description

    Snapshot img

    Securities Exchanges Market Size 2025-2029

    The securities exchanges market size is forecast to increase by USD 56.67 billion at a CAGR of 12.5% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing demand for investment opportunities. This trend is fueled by a global economic recovery and a rising interest in various asset classes, particularly in emerging markets. Another key driver is the increasing focus on sustainable and environmental, social, and governance (ESG) investing. This shift reflects a growing awareness of the importance of long-term value creation and the role of exchanges in facilitating socially responsible investments. This trend is driven by the expanding securities business units, including stocks, bonds, mutual funds, and other securities, which cater to the needs of investment firms and individual investors. However, the market is not without challenges. Increasing market volatility poses a significant risk for exchanges and their clients.
    Furthermore, the rapid digitization of trading and the emergence of alternative trading platforms are disrupting traditional exchange business models. To navigate these challenges, exchanges must adapt by investing in technology, expanding their product offerings, and building strong regulatory frameworks. Data analytics and big data are also crucial tools for e-brokerage firms to gain insights and make informed decisions. By doing so, they can capitalize on the market's growth potential and maintain their competitive edge. Geopolitical tensions, economic instability, and regulatory changes can all contribute to market fluctuations and uncertainty.
    

    What will be the Size of the Securities Exchanges Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic market, financial instrument classification plays a crucial role in facilitating efficient trade matching through advanced execution quality metrics and order book liquidity. Quantitative trading models leverage options clearing corporation data to optimize portfolio holdings, while trade matching engines utilize high-speed data storage solutions and portfolio optimization algorithms to minimize latency and enhance market depth indicators. Data center infrastructure and network bandwidth capacity are essential components for supporting complex algorithmic trading strategies, including latency reduction and price volatility forecasting. Market impact measurement and risk assessment methodologies are integral to managing market impact and mitigating fraud, ensuring regulatory compliance through transaction reporting standards and regulatory compliance software.

    Exchange traded funds (ETFs) have gained popularity, necessitating robust quote dissemination systems and trade surveillance analytics. Server virtualization and cybersecurity threat mitigation strategies further strengthen the market's resilience, enabling seamless integration of data-driven quantitative models and sophisticated fraud detection algorithms. Additionally, users of online trading platforms can easily monitor the performance of their assets thanks to real-time stock data.

    How is this Securities Exchanges Industry segmented?

    The securities exchanges 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.

    Service
    
      Market platforms
      Capital access platforms
      Others
    
    
    Trade Finance Instruments
    
      Equities
      Derivatives
      Bonds
      Exchange-traded funds
      Others
    
    
    Type
    
      Large-cap exchanges
      Mid-cap exchanges
      Small-cap exchanges
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Switzerland
        UK
    
    
      APAC
    
        China
        Hong Kong
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Service Insights

    The Market platforms segment is estimated to witness significant growth during the forecast period. The market is characterized by advanced technologies and systems that enable efficient price discovery, manage settlement risk, and ensure regulatory compliance. Market platforms, which include trading platforms, order-matching systems, and market data dissemination, hold the largest share of the market. These platforms facilitate the buying and selling of securities, providing market liquidity and transparency. Real-time market surveillance and high-frequency trading infrastructure are crucial components, ensuring fair and orderly markets and enabling efficient trade execution. Financial modeling techniques and algorithmic trading platforms optimize trading strategies, while electronic communication networks and central counterparty clearing minimize r

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

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

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

    Time period covered
    2014 - 2029
    Area covered
    China
    Description

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

  12. Drivers of growth for the global derivatives market 2023

    • statista.com
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    Statista, Drivers of growth for the global derivatives market 2023 [Dataset]. https://www.statista.com/statistics/1538162/drivers-of-growth-for-derivatives-market/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2023 - Dec 2023
    Area covered
    Worldwide
    Description

    According to a survey conducted at the end of 2023, macroeconomic uncertainty and financial market volatility are expected to drive significant growth in derivatives trading over the next five years, especially among intermediaries and end users. Other factors include the expansion of futures and options markets in China and India, innovation in product development and new asset classes, and increasing retail participation globally. Decarbonization and the resulting demand for commodities are also noted as growth drivers, though to a lesser extent.

  13. C

    China Capital Market Exchange Ecosystem Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 29, 2025
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    Market Report Analytics (2025). China Capital Market Exchange Ecosystem Report [Dataset]. https://www.marketreportanalytics.com/reports/china-capital-market-exchange-ecosystem-99770
    Explore at:
    pdf, ppt, docAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The China capital market exchange ecosystem, valued at $151.36 million in 2025, is projected to experience robust growth, fueled by a compound annual growth rate (CAGR) of 8.12% from 2025 to 2033. This expansion is driven by several key factors. Increasing financial literacy and a growing middle class are creating a larger pool of potential investors. Government initiatives promoting financial market development and increased integration with global markets are further stimulating growth. Technological advancements, particularly in online trading platforms offered by companies like XM, HotForex, IQ Option, eToro, IC Markets, Alpari, FXTM, ExpertOption, OctaFX, and Olymp Trade (among others), are lowering barriers to entry and increasing accessibility for retail investors. However, regulatory hurdles and volatility in global financial markets pose potential restraints on market growth. The market segmentation reveals a dynamic interplay between production, consumption, import, and export activities, indicating a maturing and increasingly sophisticated market structure within China. Detailed analysis across these segments is crucial to understanding the specific drivers and challenges within this ecosystem. Price trend analysis will likely show periods of fluctuation reflecting global economic conditions and investor sentiment. Analysis of the historical period (2019-2024) reveals the foundations upon which this future growth is built. Understanding the trajectory of the market during these years, including periods of both expansion and contraction, provides valuable context for the projected figures. The significant participation of major international brokerage firms highlights the ecosystem's global integration. The regional data, beginning with China as a focal point, allows for a detailed understanding of market concentration and future growth opportunities within specific geographic areas. Further research into regional disparities and consumption patterns across various segments would offer even more granular insights. The forecast period (2025-2033) represents a substantial opportunity for investors and market participants alike, contingent upon effective management of regulatory and market risks. Notable trends are: Impact of Increasing Foreign Direct Investment in China.

  14. c

    The global stock market size is USD 3645.2 million in 2024.

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, The global stock market size is USD 3645.2 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/stock-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    The global stock market demonstrates a robust growth trajectory, poised for significant expansion in the coming decade. Projections indicate the market will surge from approximately $9.55 trillion in 2021 to over $23.85 trillion by 2033, expanding at a compound annual growth rate (CAGR) of 7.926%. This growth is underpinned by strong corporate earnings, technological advancements in trading, and increasing participation from retail investors. While North America currently dominates in terms of market size, the Asia-Pacific region is emerging as the fastest-growing hub, driven by the burgeoning economies of India and China. Factors such as monetary policies, geopolitical stability, and regulatory environments will continue to be pivotal in shaping regional market dynamics and overall global performance.

    Key strategic insights from our comprehensive analysis reveal:

    The Asia-Pacific region is the primary growth engine for the global stock market, exhibiting the highest CAGR of 9.112%, with nations like India and China leading this rapid expansion.
    North America, particularly the United States, will maintain its position as the largest market by value, commanding a significant share of the global total, despite a slightly more moderate growth rate compared to APAC.
    There is a consistent and broad-based growth trend across all major global regions, indicating widespread investor confidence and economic recovery, though the pace of expansion varies, highlighting diverse investment opportunities and risks.
    

    Global Market Overview & Dynamics of Stock Market Analysis The global stock market is on a path of sustained and significant growth, driven by a confluence of economic, technological, and social factors. The market is forecast to expand from $9.55 trillion in 2021 to nearly $23.86 trillion by 2033. This expansion reflects growing global wealth, increased corporate profitability, and the continuous innovation in financial technologies that makes investing more accessible. However, this growth is not without its challenges, as markets must navigate through geopolitical tensions, inflationary pressures, and evolving regulatory landscapes that can introduce volatility and uncertainty.

    Global Stock Market Drivers

    Favorable Economic Conditions: Broad-based global GDP growth, coupled with supportive monetary policies from central banks in major economies, stimulates corporate investment and boosts earnings, attracting investors to equity markets.
    Technological Innovation and Accessibility: The proliferation of online trading platforms, robo-advisors, and mobile investing apps has democratized access to stock markets, leading to a surge in retail investor participation.
    Corporate Profitability and IPO Activity: Strong and resilient corporate earnings growth, along with a healthy pipeline of Initial Public Offerings (IPOs) from innovative companies, continually injects fresh capital and opportunities into the market.
    

    Global Stock Market Trends

    Rise of ESG Investing: There is a rapidly growing trend of investors integrating Environmental, Social, and Governance (ESG) criteria into their investment decisions, pushing companies to adopt more sustainable practices.
    Increased Focus on Emerging Markets: Investors are increasingly allocating capital to emerging markets, particularly in the Asia-Pacific and South American regions, in pursuit of higher growth potential compared to more mature markets.
    Growth of Passive Investing: The shift towards passive investment strategies, such as index funds and Exchange-Traded Funds (ETFs), continues to gain momentum due to their lower costs and broad market exposure.
    

    Global Stock Market Restraints

    Geopolitical Instability and Trade Disputes: International conflicts, trade wars, and political uncertainty can disrupt global supply chains, dampen investor sentiment, and lead to significant market volatility.
    Inflation and Interest Rate Hikes: Persistent inflationary pressures force central banks to raise interest rates, which increases borrowing costs for companies and can make less risky assets like bonds more attractive relative to stocks.
    Regulatory Scrutiny and Complexity: Stricter regulations on financial markets, data privacy, and corporate governance can increase compliance costs and limit certain market activities, potentially hindering growth.
    

    Strategic Recommendations for Manufacturers

    Prioritize market entry and expansion s...
    
  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. Are Price Limits Effective? An Examination of an Artificial Stock Market

    • plos.figshare.com
    rar
    Updated Jun 2, 2023
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    Xiaotao Zhang; Jing Ping; Tao Zhu; Yuelei Li; Xiong Xiong (2023). Are Price Limits Effective? An Examination of an Artificial Stock Market [Dataset]. http://doi.org/10.1371/journal.pone.0160406
    Explore at:
    rarAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xiaotao Zhang; Jing Ping; Tao Zhu; Yuelei Li; Xiong Xiong
    License

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

    Description

    We investigated the inter-day effects of price limits policies that are employed in agent-based simulations. To isolate the impact of price limits from the impact of other factors, we built an artificial stock market with higher frequency price limits hitting. The trading mechanisms in this market are the same as the trading mechanisms in China’s stock market. Then, we designed a series of simulations with and without price limits policy. The results of these simulations demonstrate that both upper and lower price limits can cause a volatility spillover effect and a trading interference effect. The process of price discovery will be delayed if upper price limits are imposed on a stock market; however, this phenomenon does not occur when lower price limits are imposed.

  17. d

    Data from: Global Shocks and their Impact on the Tanzanian Economy

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Haile, Fiseha (2023). Global Shocks and their Impact on the Tanzanian Economy [Dataset]. http://doi.org/10.7910/DVN/P9VSZA
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Haile, Fiseha
    Area covered
    Tanzania
    Description

    Plummeting commodity prices, China’s economic malaise, and global financial market turbulence have recently wreaked havoc on African economies. This paper investigates whether, and to what extent, these intertwined shocks spillover into the Tanzanian economy. The author finds that a 1 percentage point (ppts) drop in China’s investment growth is associated with a decline in Tanzania’s export growth of roughly 0.60 ppts. A 1 percent fall in commodity prices leads to 0.65 percent lower exports value. The results suggest that a hard landing of the Chinese economy to its ‘new normal’ would doubtless send shock waves through the Tanzanian economy by further driving down commodity demand and prices as well as lowering development finance. In contrast, financial market volatility has a fairly negligible impact on economic growth. The main results stand up well to a wide-array of robustness checks.

  18. G

    Volatility Swaps Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 22, 2025
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    Growth Market Reports (2025). Volatility Swaps Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/volatility-swaps-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Volatility Swaps Market Outlook



    According to our latest research, the global volatility swaps market size reached USD 8.2 billion in 2024, reflecting robust activity and demand across multiple asset classes. The market is projected to expand at a CAGR of 7.9% from 2025 to 2033, reaching an estimated USD 16.5 billion by 2033. This impressive growth is driven by rising demand for advanced risk management tools, increasing market uncertainties, and the growing sophistication of institutional investors. As per our latest research, the volatility swaps market is positioned for sustained expansion, bolstered by technological advancements and the proliferation of trading platforms.




    A primary growth factor in the volatility swaps market is the increasing need for effective risk management solutions among institutional investors and other market participants. As financial markets become more volatile due to global economic uncertainties, geopolitical tensions, and rapid shifts in monetary policy, investors are seeking instruments that allow them to hedge or gain exposure to volatility itself. Volatility swaps enable market participants to isolate and trade pure volatility risk without exposure to the underlying asset's price movements. This unique characteristic has made volatility swaps an essential tool in the arsenal of asset managers, hedge funds, and banks, who are continually seeking to optimize their risk-return profiles. The rising adoption of volatility-based strategies, especially in equity and FX markets, is further fueling the demand for these derivatives.




    Another significant driver of growth in the volatility swaps market is the technological evolution of trading infrastructure. The proliferation of sophisticated trading platforms, both in over-the-counter (OTC) and exchange-traded environments, has enhanced market transparency, reduced transaction costs, and improved execution efficiency. These advancements have made volatility swaps more accessible to a broader range of market participants, including smaller asset managers and proprietary trading firms. Additionally, the integration of advanced analytics and algorithmic trading has empowered traders to develop and execute complex volatility strategies with greater precision. The overall result is a more liquid and efficient market, which in turn attracts further participation and drives volume growth.




    The expansion of volatility swaps into new asset classes and geographies also contributes to market growth. While equity volatility swaps remain the most prominent product type, there is increasing interest in FX, interest rate, and commodity volatility swaps. This diversification is driven by global macroeconomic developments, such as fluctuations in interest rates, currency volatility, and commodity price swings. As multinational corporations and institutional investors seek to manage risks across multiple exposures, the demand for tailored volatility swap products continues to rise. Furthermore, regulatory developments in major financial centers, including North America, Europe, and Asia Pacific, are fostering a more robust and transparent derivatives market, further supporting growth.




    Regionally, North America continues to dominate the volatility swaps market, accounting for the largest share in 2024. The region's leadership is underpinned by the presence of mature financial markets, sophisticated institutional investors, and a well-developed trading infrastructure. Europe follows closely, benefiting from regulatory harmonization and the presence of major financial hubs such as London and Frankfurt. The Asia Pacific region is experiencing the fastest growth, driven by the rapid development of financial markets in countries like China, Japan, and Singapore. These regions are witnessing increased adoption of volatility products, supported by growing investor sophistication and regulatory reforms aimed at deepening capital markets. Latin America and the Middle East & Africa represent smaller but emerging markets, with growth potential tied to economic development and financial market modernization.





  19. f

    Evolvement of Uniformity and Volatility in the Stressed Global Financial...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Feb 8, 2012
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    Raddant, Matthias; Lux, Thomas; Ben-Jacob, Eshel; Kenett, Dror Y. (2012). Evolvement of Uniformity and Volatility in the Stressed Global Financial Village [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001146800
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    Dataset updated
    Feb 8, 2012
    Authors
    Raddant, Matthias; Lux, Thomas; Ben-Jacob, Eshel; Kenett, Dror Y.
    Description

    BackgroundIn the current era of strong worldwide market couplings the global financial village became highly prone to systemic collapses, events that can rapidly sweep throughout the entire village. Methodology/Principal FindingsWe present a new methodology to assess and quantify inter-market relations. The approach is based on the correlations between the market index, the index volatility, the market Index Cohesive Force and the meta-correlations (correlations between the intra-correlations.) We investigated the relations between six important world markets—U.S., U.K., Germany, Japan, China and India—from January 2000 until December 2010. We found that while the developed “western” markets (U.S., U.K., Germany) are highly correlated, the interdependencies between these markets and the developing “eastern” markets (India and China) are volatile and with noticeable maxima at times of global world events. The Japanese market switches “identity”—it switches between periods of high meta-correlations with the “western” markets and periods when it behaves more similarly to the “eastern” markets. Conclusions/SignificanceThe methodological framework presented here provides a way to quantify the evolvement of interdependencies in the global market, evaluate a world financial network and quantify changes in the world inter market relations. Such changes can be used as precursors to the agitation of the global financial village. Hence, the new approach can help to develop a sensitive “financial seismograph” to detect early signs of global financial crises so they can be treated before they develop into worldwide events.

  20. Stockbroking Market Analysis, Size, and Forecast 2025-2029: North America...

    • technavio.com
    pdf
    Updated Jul 4, 2025
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    Technavio (2025). Stockbroking Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, and UK), APAC (China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/stockbroking-market-analysis
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    pdfAvailable download formats
    Dataset updated
    Jul 4, 2025
    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, United Kingdom, Mexico, Japan, United States, Canada
    Description

    Snapshot img

    Stockbroking Market Size 2025-2029

    The stockbroking market size is valued to increase USD 27.45 billion, at a CAGR of 10.1% from 2024 to 2029. Need for market surveillance will drive the stockbroking market.

    Major Market Trends & Insights

    North America dominated the market and accounted for a 40% growth during the forecast period.
    By Mode Of Booking - Offline segment was valued at USD 25.93 billion in 2023
    By Type - Long term trading segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 114.30 million
    Market Future Opportunities: USD 27450.80 million
    CAGR from 2024 to 2029 : 10.1%
    

    Market Summary

    In the dynamic world of finance, the market plays a pivotal role as an intermediary between buyers and sellers of securities. This market, which facilitates the buying and selling of stocks, bonds, and other securities, has seen significant growth in recent years. According to the latest estimates, it is valued at over USD10 trillion globally. Key drivers fueling this market's expansion include increasing investor participation, technological advancements, and the growing preference for digital trading platforms. Enhanced cash flow empowers businesses to invest in research, development, and expansion initiatives for security brokerage and stock exchange services, driving overall market growth. Technological innovations, such as artificial intelligence and machine learning, have revolutionized the way trades are executed, enabling real-time investments monitoring and market surveillance.
    However, the market faces challenges as well. Geopolitical tensions, such as trade wars, can significantly impact investment decisions and market volatility. Regulatory compliance and cybersecurity concerns also pose challenges for market participants. Despite these challenges, the future of the market looks promising. Continuous technological advancements and evolving regulatory frameworks are expected to create new opportunities for growth. As the market continues to adapt to changing market conditions and investor needs, it will remain a critical component of the global financial landscape.
    

    What will be the Size of the Stockbroking Market during the forecast period?

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

    How is the Stockbroking Market Segmented ?

    The stockbroking 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.

    Mode Of Booking
    
      Offline
      Online
    
    
    Type
    
      Long term trading
      Short term trading
    
    
    End-user
    
      Institutional investor
      Retail investor
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Mode Of Booking Insights

    The offline segment is estimated to witness significant growth during the forecast period.

    Request Free Sample

    The Offline segment was valued at USD 25.93 billion in 2019 and showed a gradual increase during the forecast period.

    Request Free Sample

    Regional Analysis

    North America is estimated to contribute 40% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    See How Stockbroking Market Demand is Rising in North America Request Free Sample

    The North America region holds a prominent role in The market, characterized by its mature financial infrastructure and regulatory clarity. This region benefits from a well-established capital market ecosystem that fosters high-frequency trading, institutional investment, and retail participation. Regulatory frameworks in North America are structured to ensure transparency and investor protection, bolstering market confidence and encouraging sustained trading activity. Advanced technological platforms and the integration of algorithmic trading further streamline operations and enhance execution efficiency.

    These factors contribute significantly to the region's ability to maintain high liquidity levels and attract global investors seeking stable and efficient market environments.

    Market Dynamics

    Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    The market is a dynamic and complex ecosystem where investors and traders seek to optimize their portfolio performance through various strategies. In this competitive landscape, the impact of algorithmic trading latency and the effectiveness of different order routing strategies

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TRADING ECONOMICS (2017). China Stock Price Volatility [Dataset]. https://tradingeconomics.com/china/stock-price-volatility-wb-data.html

China Stock Price Volatility

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3 scholarly articles cite this dataset (View in Google Scholar)
xml, json, excel, csvAvailable download formats
Dataset updated
May 27, 2017
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 1, 1976 - Dec 31, 2025
Area covered
China
Description

Actual value and historical data chart for China Stock Price Volatility

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