5 datasets found
  1. T

    Pakistan Stock Market (KSE100) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 3, 2020
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    TRADING ECONOMICS (2020). Pakistan Stock Market (KSE100) Data [Dataset]. https://tradingeconomics.com/pakistan/stock-market
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Feb 3, 2020
    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
    May 25, 1994 - Aug 1, 2025
    Area covered
    Pakistan
    Description

    Pakistan's main stock market index, the KSE 100, rose to 141103 points on August 1, 2025, gaining 1.23% from the previous session. Over the past month, the index has climbed 8.25% and is up 80.38% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Pakistan. Pakistan Stock Market (KSE100) - values, historical data, forecasts and news - updated on August of 2025.

  2. Prerequisites test for GARCH.

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    + more versions
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    Baixiang Wang; Muhammad Waris; Katarzyna Adamiak; Mohammad Adnan; Hawkar Anwer Hamad; Saad Mahmood Bhatti (2024). Prerequisites test for GARCH. [Dataset]. http://doi.org/10.1371/journal.pone.0295853.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Baixiang Wang; Muhammad Waris; Katarzyna Adamiak; Mohammad Adnan; Hawkar Anwer Hamad; Saad Mahmood Bhatti
    License

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

    Description

    The COVID-19 pandemic has emerged as a significant event of the current century, introducing substantial transformations in economic and social activities worldwide. The primary objective of this study is to investigate the relationship between daily COVID-19 cases and Pakistan stock market (PSX) return volatility. To assess the relationship between daily COVID-19 cases and the PSX return volatility, we collected secondary data from the World Health Organization (WHO) and the PSX website, specifically focusing on the PSX 100 index, spanning from March 15, 2020, to March 31, 2021. We used the GARCH family models for measuring the volatility and the COVID-19 impact on the stock market performance. Our E-GARCH findings show that there is long-term persistence in the return volatility of the stock market of Pakistan in the period of the COVID-19 timeline because ARCH alpha (ω1) and GARCH beta (ω2) are significant. Moreover, is asymmetrical effect is found in the stock market of Pakistan during the COVID-19 period due to Gamma (ѱ) being significant for PSX. Our DCC-GARCH results show that the COVID-19 active cases have a long-term spillover impact on the Pakistan stock market. Therefore, the need of strong planning and alternative platform should be needed in the distress period to promote the stock market and investor should advised to make diversified international portfolio by investing in high and low volatility stock market to save their income. This study advocated the implications for investors to invest in low volatility stock especially during the period of pandemics to protect their return on investment. Moreover, policy makers and the regulators can make effective policies to maintain financial stability during pandemics that is very important for the country’s economic development.

  3. f

    Correlation matrix.

    • figshare.com
    xls
    Updated Apr 16, 2024
    + more versions
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    Baixiang Wang; Muhammad Waris; Katarzyna Adamiak; Mohammad Adnan; Hawkar Anwer Hamad; Saad Mahmood Bhatti (2024). Correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0295853.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Baixiang Wang; Muhammad Waris; Katarzyna Adamiak; Mohammad Adnan; Hawkar Anwer Hamad; Saad Mahmood Bhatti
    License

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

    Description

    The COVID-19 pandemic has emerged as a significant event of the current century, introducing substantial transformations in economic and social activities worldwide. The primary objective of this study is to investigate the relationship between daily COVID-19 cases and Pakistan stock market (PSX) return volatility. To assess the relationship between daily COVID-19 cases and the PSX return volatility, we collected secondary data from the World Health Organization (WHO) and the PSX website, specifically focusing on the PSX 100 index, spanning from March 15, 2020, to March 31, 2021. We used the GARCH family models for measuring the volatility and the COVID-19 impact on the stock market performance. Our E-GARCH findings show that there is long-term persistence in the return volatility of the stock market of Pakistan in the period of the COVID-19 timeline because ARCH alpha (ω1) and GARCH beta (ω2) are significant. Moreover, is asymmetrical effect is found in the stock market of Pakistan during the COVID-19 period due to Gamma (ѱ) being significant for PSX. Our DCC-GARCH results show that the COVID-19 active cases have a long-term spillover impact on the Pakistan stock market. Therefore, the need of strong planning and alternative platform should be needed in the distress period to promote the stock market and investor should advised to make diversified international portfolio by investing in high and low volatility stock market to save their income. This study advocated the implications for investors to invest in low volatility stock especially during the period of pandemics to protect their return on investment. Moreover, policy makers and the regulators can make effective policies to maintain financial stability during pandemics that is very important for the country’s economic development.

  4. f

    VAR lag selection criteria.

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    Share
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    Baixiang Wang; Muhammad Waris; Katarzyna Adamiak; Mohammad Adnan; Hawkar Anwer Hamad; Saad Mahmood Bhatti (2024). VAR lag selection criteria. [Dataset]. http://doi.org/10.1371/journal.pone.0295853.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Baixiang Wang; Muhammad Waris; Katarzyna Adamiak; Mohammad Adnan; Hawkar Anwer Hamad; Saad Mahmood Bhatti
    License

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

    Description

    The COVID-19 pandemic has emerged as a significant event of the current century, introducing substantial transformations in economic and social activities worldwide. The primary objective of this study is to investigate the relationship between daily COVID-19 cases and Pakistan stock market (PSX) return volatility. To assess the relationship between daily COVID-19 cases and the PSX return volatility, we collected secondary data from the World Health Organization (WHO) and the PSX website, specifically focusing on the PSX 100 index, spanning from March 15, 2020, to March 31, 2021. We used the GARCH family models for measuring the volatility and the COVID-19 impact on the stock market performance. Our E-GARCH findings show that there is long-term persistence in the return volatility of the stock market of Pakistan in the period of the COVID-19 timeline because ARCH alpha (ω1) and GARCH beta (ω2) are significant. Moreover, is asymmetrical effect is found in the stock market of Pakistan during the COVID-19 period due to Gamma (ѱ) being significant for PSX. Our DCC-GARCH results show that the COVID-19 active cases have a long-term spillover impact on the Pakistan stock market. Therefore, the need of strong planning and alternative platform should be needed in the distress period to promote the stock market and investor should advised to make diversified international portfolio by investing in high and low volatility stock market to save their income. This study advocated the implications for investors to invest in low volatility stock especially during the period of pandemics to protect their return on investment. Moreover, policy makers and the regulators can make effective policies to maintain financial stability during pandemics that is very important for the country’s economic development.

  5. f

    Spillover effect of COVID-19 cases on stock market return volatility.

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Baixiang Wang; Muhammad Waris; Katarzyna Adamiak; Mohammad Adnan; Hawkar Anwer Hamad; Saad Mahmood Bhatti (2024). Spillover effect of COVID-19 cases on stock market return volatility. [Dataset]. http://doi.org/10.1371/journal.pone.0295853.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Baixiang Wang; Muhammad Waris; Katarzyna Adamiak; Mohammad Adnan; Hawkar Anwer Hamad; Saad Mahmood Bhatti
    License

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

    Description

    Spillover effect of COVID-19 cases on stock market return volatility.

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Share
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Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2020). Pakistan Stock Market (KSE100) Data [Dataset]. https://tradingeconomics.com/pakistan/stock-market

Pakistan Stock Market (KSE100) Data

Pakistan Stock Market (KSE100) - Historical Dataset (1994-05-25/2025-08-01)

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
json, excel, csv, xmlAvailable download formats
Dataset updated
Feb 3, 2020
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
May 25, 1994 - Aug 1, 2025
Area covered
Pakistan
Description

Pakistan's main stock market index, the KSE 100, rose to 141103 points on August 1, 2025, gaining 1.23% from the previous session. Over the past month, the index has climbed 8.25% and is up 80.38% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Pakistan. Pakistan Stock Market (KSE100) - values, historical data, forecasts and news - updated on August of 2025.

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