29 datasets found
  1. Leading stock exchanges APAC 2024, by domestic market capitalization

    • statista.com
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    Statista, Leading stock exchanges APAC 2024, by domestic market capitalization [Dataset]. https://www.statista.com/statistics/265236/domestic-market-capitalization-in-the-asia-pacific-region/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    APAC
    Description

    As of December 2024, the Shanghai Stock Exchange had the largest domestic market capitalization among stock exchanges in the Asia Pacific region, amounting to approximately *** trillion U.S. dollars. Second in the ranking was the Shanghai Stock Exchange Group, followed by the Shenzhen Stock Exchange. Stock exchanges in Asia PacificThe major stock exchanges in the Asia-Pacific region are the Tokyo Stock Exchange in Japan, the Shanghai and Shenzhen Stock Exchange in Mainland China, the Hong Kong Stock Exchange in Hong Kong, and the Bombay Stock Exchange in India, which is also the oldest stock exchange in Asia. Also, five out of the ten largest stock exchange operators in the world are located in Asia.What is market capitalization?Market capitalization, also commonly referred to as market cap, is a measure of the total market value of outstanding shares of a company on the stock market. It indicates a company’s relative size and value while taking various determinants such as risk and the market’s perception into consideration. There are large-cap (>** billion), mid-cap (* to ** billion) and small-cap (*** million to * billion) companies depending on their market capitalization.

  2. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 30, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 30, 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 - Jul 1, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, rose to 3448 points on July 1, 2025, gaining 0.11% from the previous session. Over the past month, the index has climbed 2.57% and is up 15.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  3. Equity market capitalization worldwide 2013-2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista (2025). Equity market capitalization worldwide 2013-2024 [Dataset]. https://www.statista.com/statistics/274490/global-value-of-share-holdings-since-2000/
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    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The value of global domestic equity market increased from 65.04 trillion U.S. dollars in 2013 to 124.63 trillion U.S. dollars in 2023. The United States was by far the leading country with the largest share of total world stocks as of 2024. Global market capitalization in different regions The market capitalization of domestic companies listed varied across different regions of the world. As of Decmber 2024, the Americas region had the largest domestic equity market, totaling 62 trillion U.S. dollars. This region is home to the NYSE and Nasdaq, which are the two largest stock exchange operators in the world. The market capitalization of these two exchanges alone exceeded 60 billion U.S. dollars as of January 2025, larger than the total market capitalization in the Asia-Pacific, and in the EMEA regions in the same period. Largest Stock Exchanges in Latin America As of December 2024, the B3 (Brasil Bolsa Balcao) was the biggest stock exchange in Latin America in terms of market capitalization and the second-largest in terms of number of listed companies. Following the B3 were the Mexican Stock Exchange and the Santiago Stock Exchange in Chile. The most valuable company in Latin America is listed on the Mexican Stock Exchange: Fomento Económico Mexicano, a multinational beverage and retail company headquartered in Monterrey, had market cap of 177 billion U.S. dollars as of March 2025.

  4. T

    Bank Central Asia | BBCA - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    • cdn.tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 29, 2016
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    TRADING ECONOMICS (2016). Bank Central Asia | BBCA - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/bbca:ij
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Feb 29, 2016
    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, 2000 - Jul 1, 2025
    Description

    Bank Central Asia stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  5. k

    JPMorgan Asia Growth Income (JAGI) - A Strategic Play on the Rising Asian...

    • kappasignal.com
    Updated Aug 1, 2024
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    KappaSignal (2024). JPMorgan Asia Growth Income (JAGI) - A Strategic Play on the Rising Asian Tiger (Forecast) [Dataset]. https://www.kappasignal.com/2024/08/jpmorgan-asia-growth-income-jagi.html
    Explore at:
    Dataset updated
    Aug 1, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    JPMorgan Asia Growth Income (JAGI) - A Strategic Play on the Rising Asian Tiger

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  6. f

    Descriptive statistics of the model (7).

    • 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 the model (7). [Dataset]. http://doi.org/10.1371/journal.pone.0290680.t002
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    xlsAvailable download formats
    Dataset updated
    Dec 14, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Minh Phuoc-Bao Tran; Duc Hong Vo
    License

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

    Description

    This study examines the market return spillovers from the US market to 10 Asia-Pacific stock markets, accounting for approximately 91 per cent of the region’s GDP from 1991 to 2022. Our findings indicate an increased return spillover from the US stock market to the Asia-Pacific stock market over time, particularly after major global events such as the 1997 Asian and the 2008 global financial crises, the 2015 China stock market crash, and the COVID-19 pandemic. The 2008 global financial crisis had the most substantial impact on these events. In addition, the findings also indicate that US economic policy uncertainty and US geopolitical risk significantly affect spillovers from the US to the Asia-Pacific markets. In contrast, the geopolitical risk of Asia-Pacific countries reduces these spillovers. The study also highlights the significant impact of information and communication technologies (ICT) on these spillovers. Given the increasing integration of global financial markets, the findings of this research are expected to provide valuable policy implications for investors and policymakers.

  7. i

    Asia Pacific Current Transducer Market - Global Industry Share

    • imrmarketreports.com
    Updated Feb 2025
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    Swati Kalagate; Akshay Patil; Vishal Kumbhar (2025). Asia Pacific Current Transducer Market - Global Industry Share [Dataset]. https://www.imrmarketreports.com/reports/asia-pacific-current-transducer-market
    Explore at:
    Dataset updated
    Feb 2025
    Dataset provided by
    IMR Market Reports
    Authors
    Swati Kalagate; Akshay Patil; Vishal Kumbhar
    License

    https://www.imrmarketreports.com/privacy-policy/https://www.imrmarketreports.com/privacy-policy/

    Description

    The Asia Pacific Current Transducer report features an extensive regional analysis, identifying market penetration levels across major geographic areas. It highlights regional growth trends and opportunities, allowing businesses to tailor their market entry strategies and maximize growth in specific regions.

  8. k

    Asia Dragon Trust (DGN) Stock Forecast: Prepare to Soar with This Emerging...

    • kappasignal.com
    Updated Jun 30, 2024
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    KappaSignal (2024). Asia Dragon Trust (DGN) Stock Forecast: Prepare to Soar with This Emerging Market Powerhouse (Forecast) [Dataset]. https://www.kappasignal.com/2024/06/asia-dragon-trust-dgn-stock-forecast_30.html
    Explore at:
    Dataset updated
    Jun 30, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Asia Dragon Trust (DGN) Stock Forecast: Prepare to Soar with This Emerging Market Powerhouse

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  9. Thailand SET: Turnover: Value: Buy: Asia Plus Securities

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Thailand SET: Turnover: Value: Buy: Asia Plus Securities [Dataset]. https://www.ceicdata.com/en/thailand/the-stock-exchange-of-thailand-turnover-value-by-broker-set/set-turnover-value-buy-asia-plus-securities
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    Thailand
    Variables measured
    Turnover
    Description

    Thailand SET: Turnover: Value: Buy: Asia Plus Securities data was reported at 15,017.525 THB mn in Nov 2018. This records a decrease from the previous number of 23,390.248 THB mn for Oct 2018. Thailand SET: Turnover: Value: Buy: Asia Plus Securities data is updated monthly, averaging 22,888.481 THB mn from Jan 2004 (Median) to Nov 2018, with 179 observations. The data reached an all-time high of 139,281.823 THB mn in Jul 2017 and a record low of 2,538.553 THB mn in Mar 2013. Thailand SET: Turnover: Value: Buy: Asia Plus Securities data remains active status in CEIC and is reported by The Stock Exchange of Thailand. The data is categorized under Global Database’s Thailand – Table TH.Z013: The Stock Exchange of Thailand: Turnover Value by Broker: SET.

  10. k

    PAI PLATINUM ASIA INVESTMENTS LIMITED (Forecast)

    • kappasignal.com
    Updated Apr 5, 2023
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    KappaSignal (2023). PAI PLATINUM ASIA INVESTMENTS LIMITED (Forecast) [Dataset]. https://www.kappasignal.com/2023/04/pai-platinum-asia-investments-limited.html
    Explore at:
    Dataset updated
    Apr 5, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    PAI PLATINUM ASIA INVESTMENTS LIMITED

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  11. f

    Table_2_Research on the dynamic spillover of stock markets under...

    • figshare.com
    xlsx
    Updated May 31, 2023
    + more versions
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    Baicheng Zhou; Qingshu Yin; Shu Wang; Tianye Li (2023). Table_2_Research on the dynamic spillover of stock markets under COVID-19—Taking the stock markets of China, Japan, and South Korea as an example.XLSX [Dataset]. http://doi.org/10.3389/fpubh.2022.1008348.s006
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Baicheng Zhou; Qingshu Yin; Shu Wang; Tianye Li
    License

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

    Area covered
    Japan, China, South Korea
    Description

    Examining stock market interactions between China (mainland China and Hong Kong), Japan, and South Korea, this study employs a framework that includes 239 economic variables to identify the spillover effects among these three countries, and empirically simulates the dynamic time-varying non-linear relationship between the stock markets of different countries. The findings are that in recent decades, China's stock market relied on Hong Kong's as a window to the exchange of price information with Japan and South Korea. More recently, the China stock market's spillover effect on East Asia has expanded. The spread of the crisis has strengthened co-movement between the stock markets of China, Japan, and South Korea.

  12. f

    Data_Sheet_1_Research on the dynamic spillover of stock markets under...

    • figshare.com
    zip
    Updated Jun 1, 2023
    + more versions
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    Baicheng Zhou; Qingshu Yin; Shu Wang; Tianye Li (2023). Data_Sheet_1_Research on the dynamic spillover of stock markets under COVID-19—Taking the stock markets of China, Japan, and South Korea as an example.ZIP [Dataset]. http://doi.org/10.3389/fpubh.2022.1008348.s001
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Baicheng Zhou; Qingshu Yin; Shu Wang; Tianye Li
    License

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

    Area covered
    Japan, China, South Korea
    Description

    Examining stock market interactions between China (mainland China and Hong Kong), Japan, and South Korea, this study employs a framework that includes 239 economic variables to identify the spillover effects among these three countries, and empirically simulates the dynamic time-varying non-linear relationship between the stock markets of different countries. The findings are that in recent decades, China's stock market relied on Hong Kong's as a window to the exchange of price information with Japan and South Korea. More recently, the China stock market's spillover effect on East Asia has expanded. The spread of the crisis has strengthened co-movement between the stock markets of China, Japan, and South Korea.

  13. D

    Comparative Analysis of Real Estate and Stock Markets as Inflation Hedges:...

    • ssh.datastations.nl
    • datacatalogue.cessda.eu
    tsv
    Updated Mar 27, 2024
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    DANS Data Station Social Sciences and Humanities (2024). Comparative Analysis of Real Estate and Stock Markets as Inflation Hedges: Insights from East Asia and the US [Dataset]. http://doi.org/10.17026/SS/UNBVRV
    Explore at:
    tsv(16752), tsv(19155), tsv(9795), tsv(13754), tsv(21353), tsv(41554), tsv(10619), tsv(21637), tsv(42653), tsv(12868)Available download formats
    Dataset updated
    Mar 27, 2024
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    License

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

    Area covered
    East Asia, United States
    Description

    To investigate the issue of inflation-hedging to find appropriate hedging assets against inflation by using the VAR or VECM model. We have collected data encompassing housing price indices, stock indices, price indexes, and money supply from five countries: the United States, Hong Kong, South Korea, Singapore, and Taiwan. The housing price index focuses on the transaction prices of listed residential houses in the metropolitan area as the benchmark, the stock price index is the ordinary stock market index of various countries, the price index is the consumer price index (CPI), and the money supply is M2 aggregate. The time period for obtaining data on the housing price index and stock price index is not the same.

  14. A

    Asia Pacific Metal Cans Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jun 2, 2025
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    Archive Market Research (2025). Asia Pacific Metal Cans Market Report [Dataset]. https://www.archivemarketresearch.com/reports/asia-pacific-metal-cans-market-6837
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

    Time period covered
    2025 - 2033
    Area covered
    global, Asia–Pacific
    Variables measured
    Market Size
    Description

    The Asia Pacific Metal Cans Market size was valued at USD 14.23 billion in 2023 and is projected to reach USD 22.26 billion by 2032, exhibiting a CAGR of 6.6 % during the forecasts period. The Asia Pacific Metal Cans Market concerns the business in the Asia Pacific region that manufactures and markets the metal cans mainly from aluminium or tinplate material. Populated primarily as food and non-food packaging, these cans are used to package food and beverages such as carbonated drinks, beer, canned foods, and dairy products owing to their metallic body’s durability and recyclability, and its capacity to help sustain a product’s freshness. These includes the food industry, the medicament manufacturing industry, and the producers of household chemicals. Current trends and opportunities are: The desire for unusually eco-friendly packaging materials some of the most innovative trends within the packaging market of canned goods – changes in the design of cans for more attractive appearance and convenience; and finally, the use of advanced technologies in the production process. The factors encouraging population penetration in the Asia Pacific region are increasing disposable income, development of cities and towns, and the change of consumer habits where there is a preference for convenient and biodegradable packages.

  15. A

    Asia-Pacific Natural Gas Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 14, 2025
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    Data Insights Market (2025). Asia-Pacific Natural Gas Market Report [Dataset]. https://www.datainsightsmarket.com/reports/asia-pacific-natural-gas-market-3183
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    Recent developments include: July 2022: The Indian government announced that it had set a target to raise the share of natural gas in the energy mix to 15% by 2030 from the current 6.3%. According to the data demonstrated by the Ministry of Petroleum & Natural Gas, 95.21 lakh PNG (Domestic) connections have been provided, and the authorized entities have established 4531 CNG (Transport) stations as of 31 May 2022., May 2022: The China National Offshore Oil Company (CNOOC) awarded CNY 16 billion (USD2.42 billion) contracts for building 12 liquefied natural gas tankers. The 12 vessels will be constructed by Hudong Zhonghua Shipbuilding Co., a China State Shipbuilding Corporation (CSSC). Each tanker can carry about 174,000 cubic meters of LNG, equivalent to 108 million cubic meters when re-gasified. The vessels are slated for commissioning between 2024 and 2027., January 2022: GAIL (India) Ltd commenced India's first-of-its-kind project of mixing hydrogen into the natural gas system in Indore, Madhya Pradesh. The hydrogen blended natural gas will be supplied to Avantika Gas Ltd, one of GAIL's joint ventures with HPCL, to retail CNG to automobiles and piped natural gas to households in Indore.. Key drivers for this market are: 4., Increasing Electricity Demand4.; Rsing Investments in the Coal Industry. Potential restraints include: 4., Increasing Installation of Renewable Energy Sources. Notable trends are: Increasing Investments in Natural Gas Production to Drive the Market.

  16. i

    Asia Pacific Oral Care Market - Global Industry Share

    • imrmarketreports.com
    Updated Apr 2025
    + more versions
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    Swati Kalagate; Akshay Patil; Vishal Kumbhar (2025). Asia Pacific Oral Care Market - Global Industry Share [Dataset]. https://www.imrmarketreports.com/reports/asia-pacific-oral-care-market
    Explore at:
    Dataset updated
    Apr 2025
    Dataset provided by
    IMR Market Reports
    Authors
    Swati Kalagate; Akshay Patil; Vishal Kumbhar
    License

    https://www.imrmarketreports.com/privacy-policy/https://www.imrmarketreports.com/privacy-policy/

    Description

    The Asia Pacific Oral Care market report offers a thorough competitive analysis, mapping key players’ strategies, market share, and business models. It provides insights into competitor dynamics, helping companies align their strategies with the current market landscape and future trends.

  17. k

    VG8 VGI PARTNERS ASIAN INVESTMENTS LIMITED (Forecast)

    • kappasignal.com
    Updated Apr 2, 2023
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    KappaSignal (2023). VG8 VGI PARTNERS ASIAN INVESTMENTS LIMITED (Forecast) [Dataset]. https://www.kappasignal.com/2023/04/vg8-vgi-partners-asian-investments.html
    Explore at:
    Dataset updated
    Apr 2, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    VG8 VGI PARTNERS ASIAN INVESTMENTS LIMITED

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  18. f

    List of CHPCA Eigenvalues, their 99% RRS Range, and the mean contribution...

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Irena Vodenska; Hideaki Aoyama; Yoshi Fujiwara; Hiroshi Iyetomi; Yuta Arai (2023). List of CHPCA Eigenvalues, their 99% RRS Range, and the mean contribution rate . [Dataset]. http://doi.org/10.1371/journal.pone.0150994.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Irena Vodenska; Hideaki Aoyama; Yoshi Fujiwara; Hiroshi Iyetomi; Yuta Arai
    License

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

    Description

    Although the seventh eigenmode is outside the RRS range, we exclude this mode as insignificant as it is very close to the boundary.

  19. Market share of the Carlsberg Group in Asia 2023, by country

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Market share of the Carlsberg Group in Asia 2023, by country [Dataset]. https://www.statista.com/statistics/781249/market-share-of-the-carlsberg-group-in-asia-by-country/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Asia
    Description

    This statistic shows the market share of the Carlsberg Group in Asia in 2023, by country. That year, the market share of the company was highest in Laos, with ** percent. In Nepal, the company reached a share of ** percent. The Carlsberg Group had a market share of ***** percent in Vietnam.

  20. A

    Asia Pacific Digital Pathology Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Nov 30, 2024
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    Archive Market Research (2024). Asia Pacific Digital Pathology Market Report [Dataset]. https://www.archivemarketresearch.com/reports/asia-pacific-digital-pathology-market-2378
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Nov 30, 2024
    Dataset authored and provided by
    Archive Market Research
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Asia–Pacific
    Variables measured
    Market Size
    Description

    The Asia Pacific Digital Pathology Market size was valued at USD 227.3 million in 2023 and is projected to reach USD 434.56 million by 2032, exhibiting a CAGR of 9.7 % during the forecasts period. Digital pathology is a dynamic, image-based environment that enables the acquisition, management, and interpretation of pathology information generated from digitized glass slides. This innovative field leverages computer technology to convert traditional glass slides into digital slides that can be easily viewed, shared, and analyzed on a computer monitor. With the advent of whole-slide imaging (WSI), digital pathology has become increasingly prevalent, offering a new paradigm for diagnostics and research. The process begins with the scanning of glass slides to create high-resolution digital images. These images can then be stored in a database and accessed remotely, facilitating telepathology and collaborative studies. Digital pathology supports automated image analysis, which enhances the accuracy and efficiency of diagnosing diseases. Recent developments include: In June 2023, Aignostics announced the launch of a collaboration with Virchow Laboratories to advance the use of AI-powered pathology in China in both research and clinical routine. Aignostics is planning to deploy its platform in China at Virchow Laboratories’ sites and enable local AI-powered testing of samples per Chinese regulations , In October 2023, Intralink undertook a business expansion program for Diagnexia across Singapore, Malaysia, Thailand, Indonesia, and China. The company is strategically planning its global expansion drive with a focus on Southeast Asia and China .

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Statista, Leading stock exchanges APAC 2024, by domestic market capitalization [Dataset]. https://www.statista.com/statistics/265236/domestic-market-capitalization-in-the-asia-pacific-region/
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Leading stock exchanges APAC 2024, by domestic market capitalization

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Dec 2024
Area covered
APAC
Description

As of December 2024, the Shanghai Stock Exchange had the largest domestic market capitalization among stock exchanges in the Asia Pacific region, amounting to approximately *** trillion U.S. dollars. Second in the ranking was the Shanghai Stock Exchange Group, followed by the Shenzhen Stock Exchange. Stock exchanges in Asia PacificThe major stock exchanges in the Asia-Pacific region are the Tokyo Stock Exchange in Japan, the Shanghai and Shenzhen Stock Exchange in Mainland China, the Hong Kong Stock Exchange in Hong Kong, and the Bombay Stock Exchange in India, which is also the oldest stock exchange in Asia. Also, five out of the ten largest stock exchange operators in the world are located in Asia.What is market capitalization?Market capitalization, also commonly referred to as market cap, is a measure of the total market value of outstanding shares of a company on the stock market. It indicates a company’s relative size and value while taking various determinants such as risk and the market’s perception into consideration. There are large-cap (>** billion), mid-cap (* to ** billion) and small-cap (*** million to * billion) companies depending on their market capitalization.

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