Actual value and historical data chart for China Stock Price Volatility

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.

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

This dataset includes SSEC and SSEC daily returns, realized volatility data, and the RTREGARCH-MIDAS model proposed in this paper.

This paper examines the linkage between Chinese stock market volatility and investor attention fluctuation. In Heterogeneous autoregressive (HAR) model, first, we analyzed the linkage between both decomposed and undecomposed stock market realized volatility and investor attention fluctuations across full-sample and two-year moving window sub-samples. Second, we compare the predictive power of four models in short-, medium-, and long-term volatility forecasting. Empirical results show large positive attention fluctuation amplified Chinese stock market volatility after the outbreak of COVID-19, and negative small attention fluctuation significantly stabilized stock market volatility before COVID-19, and the impact dwindled in after COVID-19. The model incorporating decomposed realized volatility and decomposed attention fluctuation performs better in volatility Forecasting. This research underscores a shift in the dynamics between stock market volatility and investor attention fluctuations, and investor attention fluctuation improves the volatility forecasting accuracy of the Chinese stock market.

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.

Dataset used in the empirical analysis.

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.

This study investigates the impact of oil market uncertainty on the volatility of Chinese sector indexes. We utilize commonly used realized volatility of WTI and Brent oil price along with the CBOE crude oil volatility index (OVX) to embody the oil market uncertainty. Based on the sample span from Mar 16, 2011 to Dec 31, 2019, this study utilizes vector autoregression (VAR) model to derive the impacts of the three different uncertainty indicators on Chinese stock volatilities. The empirical results show, for all sectors, the impact of OVX on sectors volatilities are more economically and statistically significant than that of realized volatility of both WTI and Brent oil prices, especially after the Chinese refined oil pricing reform of March 27, 2013. That implies OVX is more informative than traditional WTI and Brent oil prices with respect to volatility spillover from oil market to Chinese stock market. This study could provide some important implications for the participants in Chinese stock market.

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.

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...,

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.

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.

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.

Hong Kong Settlement Price: H Shares Index Futures: 2nd Month data was reported at 10,150.000 Point in Oct 2018. This records a decrease from the previous number of 11,084.000 Point for Sep 2018. Hong Kong Settlement Price: H Shares Index Futures: 2nd Month data is updated monthly, averaging 10,332.000 Point from Dec 2003 (Median) to Oct 2018, with 179 observations. The data reached an all-time high of 20,011.000 Point in Oct 2007 and a record low of 4,045.000 Point in Apr 2004. Hong Kong Settlement Price: H Shares Index Futures: 2nd Month data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong SAR – Table HK.Z012: Derivatives Market: Futures and Options: Settlement Price & Implied Volatility.

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...

Cumulative response of Chinese sector indexes volatilities to three different kinds of oil market uncertainty.

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.

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.

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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?

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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.

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

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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.

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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