96 datasets found
  1. T

    Pakistan Stock Market (KSE100) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Feb 15, 2025
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    TRADING ECONOMICS (2025). Pakistan Stock Market (KSE100) Data [Dataset]. https://tradingeconomics.com/pakistan/stock-market
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Feb 15, 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
    May 25, 1994 - Mar 26, 2025
    Area covered
    Pakistan
    Description

    The main stock market index in Pakistan (KSE 100) increased 2645 points or 2.30% since the beginning of 2025, 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 March of 2025.

  2. T

    Pakistan - Stock Price Volatility

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2017
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    TRADING ECONOMICS (2017). Pakistan - Stock Price Volatility [Dataset]. https://tradingeconomics.com/pakistan/stock-price-volatility-wb-data.html
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    Jun 15, 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
    Pakistan
    Description

    Stock price volatility in Pakistan was reported at 17.28 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

  3. F

    Stock Market Turnover Ratio (Value Traded/Capitalization) for Pakistan

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
    + more versions
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    (2024). Stock Market Turnover Ratio (Value Traded/Capitalization) for Pakistan [Dataset]. https://fred.stlouisfed.org/graph/?id=DDEM01PKA156NWDB
    Explore at:
    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
    Pakistan
    Description

    Graph and download economic data for Stock Market Turnover Ratio (Value Traded/Capitalization) for Pakistan from 1996 to 2011 about Pakistan, ratio, and stock market.

  4. P

    Pakistan Market Cap: PSX: All Shares

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Pakistan Market Cap: PSX: All Shares [Dataset]. https://www.ceicdata.com/en/pakistan/karachi-stock-exchange-market-capitalization-new-classification/market-cap-psx-all-shares
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Pakistan
    Variables measured
    Market Capitalisation
    Description

    Pakistan Market Cap: PSX: All Shares data was reported at 13,980,815.536 PKR mn in Feb 2025. This records a decrease from the previous number of 14,053,839.602 PKR mn for Jan 2025. Pakistan Market Cap: PSX: All Shares data is updated monthly, averaging 4,064,573.756 PKR mn from Mar 1999 (Median) to Feb 2025, with 312 observations. The data reached an all-time high of 14,495,888.757 PKR mn in Dec 2024 and a record low of 285,126.330 PKR mn in Sep 2001. Pakistan Market Cap: PSX: All Shares data remains active status in CEIC and is reported by Pakistan Stock Exchange Limited. The data is categorized under Global Database’s Pakistan – Table PK.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).

  5. P

    Pakistan PK: Stocks Traded: Total Value: % of GDP

    • ceicdata.com
    Updated Apr 15, 2018
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    CEICdata.com (2018). Pakistan PK: Stocks Traded: Total Value: % of GDP [Dataset]. https://www.ceicdata.com/en/pakistan/financial-sector/pk-stocks-traded-total-value--of-gdp
    Explore at:
    Dataset updated
    Apr 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Pakistan
    Variables measured
    Turnover
    Description

    Pakistan PK: Stocks Traded: Total Value: % of GDP data was reported at 9.882 % in 2016. This records a decrease from the previous number of 10.019 % for 2015. Pakistan PK: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 16.919 % from Dec 1996 (Median) to 2016, with 21 observations. The data reached an all-time high of 143.188 % in 2004 and a record low of 0.221 % in 2014. Pakistan PK: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  6. P

    Pakistan Index: KSE All Share Index

    • ceicdata.com
    Updated Jun 15, 2018
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    CEICdata.com (2018). Pakistan Index: KSE All Share Index [Dataset]. https://www.ceicdata.com/en/pakistan/karachi-stock-exchange-index/index-kse-all-share-index
    Explore at:
    Dataset updated
    Jun 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Pakistan
    Variables measured
    Securities Exchange Index
    Description

    Pakistan Index: KSE All Share Index data was reported at 30,220.100 1995=1000 in Oct 2018. This records an increase from the previous number of 29,944.470 1995=1000 for Sep 2018. Pakistan Index: KSE All Share Index data is updated monthly, averaging 7,489.335 1995=1000 from Mar 1999 (Median) to Oct 2018, with 236 observations. The data reached an all-time high of 35,000.880 1995=1000 in May 2017 and a record low of 675.380 1995=1000 in Jun 1999. Pakistan Index: KSE All Share Index data remains active status in CEIC and is reported by Pakistan Stock Exchange Limited. The data is categorized under Global Database’s Pakistan – Table PK.Z001: Karachi Stock Exchange: Index.

  7. pakistan stock market DFC

    • kaggle.com
    zip
    Updated Oct 17, 2023
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    zeenat educator (2023). pakistan stock market DFC [Dataset]. https://www.kaggle.com/datasets/zeenateducator/pakistan-stock-market-dfc/suggestions
    Explore at:
    zip(3205 bytes)Available download formats
    Dataset updated
    Oct 17, 2023
    Authors
    zeenat educator
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    Pakistan
    Description

    Dataset

    This dataset was created by zeenat educator

    Released under Apache 2.0

    Contents

  8. f

    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
    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.

  9. P

    Pakistan Market Cap: PSX: Real Estate Investment Trust

    • ceicdata.com
    Updated Jun 15, 2021
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    CEICdata.com (2021). Pakistan Market Cap: PSX: Real Estate Investment Trust [Dataset]. https://www.ceicdata.com/en/pakistan/karachi-stock-exchange-market-capitalization-new-classification/market-cap-psx-real-estate-investment-trust
    Explore at:
    Dataset updated
    Jun 15, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Pakistan
    Variables measured
    Market Capitalisation
    Description

    Pakistan Market Cap: PSX: Real Estate Investment Trust data was reported at 29,531.000 PKR mn in May 2018. This records an increase from the previous number of 28,708.000 PKR mn for Apr 2018. Pakistan Market Cap: PSX: Real Estate Investment Trust data is updated monthly, averaging 24,994.000 PKR mn from Nov 2016 (Median) to May 2018, with 19 observations. The data reached an all-time high of 29,531.000 PKR mn in May 2018 and a record low of 23,794.000 PKR mn in Nov 2016. Pakistan Market Cap: PSX: Real Estate Investment Trust data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).

  10. P

    Pakistan PK: Market Capitalization: Listed Domestic Companies: % of GDP

    • ceicdata.com
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    CEICdata.com, Pakistan PK: Market Capitalization: Listed Domestic Companies: % of GDP [Dataset]. https://www.ceicdata.com/en/pakistan/financial-sector/pk-market-capitalization-listed-domestic-companies--of-gdp
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Pakistan
    Variables measured
    Turnover
    Description

    Pakistan PK: Market Capitalization: Listed Domestic Companies: % of GDP data was reported at 32.967 % in 2016. This records an increase from the previous number of 24.420 % for 2015. Pakistan PK: Market Capitalization: Listed Domestic Companies: % of GDP data is updated yearly, averaging 19.720 % from Dec 1993 (Median) to 2016, with 24 observations. The data reached an all-time high of 46.537 % in 2004 and a record low of 6.781 % in 2001. Pakistan PK: Market Capitalization: Listed Domestic Companies: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

  11. f

    Correlation matrix.

    • figshare.com
    xls
    Updated Apr 16, 2024
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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.

  12. P

    Pakistan PSX: Market Capitalization

    • ceicdata.com
    Updated Sep 1, 2018
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    CEICdata.com (2018). Pakistan PSX: Market Capitalization [Dataset]. https://www.ceicdata.com/en/pakistan/karachi-stock-exchange-annual-statistics/psx-market-capitalization
    Explore at:
    Dataset updated
    Sep 1, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Pakistan
    Variables measured
    New Capital Raised
    Description

    Pakistan PSX: Market Capitalization data was reported at 8,570,926.330 PKR mn in 2017. This records a decrease from the previous number of 9,628,514.370 PKR mn for 2016. Pakistan PSX: Market Capitalization data is updated yearly, averaging 1,723,454.360 PKR mn from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 9,628,514.370 PKR mn in 2016 and a record low of 189,518.300 PKR mn in 1991. Pakistan PSX: Market Capitalization data remains active status in CEIC and is reported by Pakistan Stock Exchange Limited. The data is categorized under Global Database’s Pakistan – Table PK.Z005: Karachi Stock Exchange: Annual Statistics.

  13. f

    VAR lag selection criteria.

    • plos.figshare.com
    xls
    Updated Apr 16, 2024
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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.

  14. T

    Pakistan Foreign Direct Investment

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +17more
    csv, excel, json, xml
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    TRADING ECONOMICS, Pakistan Foreign Direct Investment [Dataset]. https://tradingeconomics.com/pakistan/foreign-direct-investment
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jul 31, 1997 - Feb 28, 2025
    Area covered
    Pakistan
    Description

    Foreign Direct Investment in Pakistan increased by 94.70 USD Million in February of 2025. This dataset provides - Pakistan Foreign Direct Investment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. Pakistan Market Cap: PSX: Insurance

    • ceicdata.com
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    CEICdata.com, Pakistan Market Cap: PSX: Insurance [Dataset]. https://www.ceicdata.com/en/pakistan/karachi-stock-exchange-market-capitalization-new-classification/market-cap-psx-insurance
    Explore at:
    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
    Jun 1, 2017 - May 1, 2018
    Area covered
    Pakistan
    Variables measured
    Market Capitalisation
    Description

    Pakistan Market Cap: PSX: Insurance data was reported at 196,653.000 PKR mn in Sep 2018. This records a decrease from the previous number of 204,235.000 PKR mn for Aug 2018. Pakistan Market Cap: PSX: Insurance data is updated monthly, averaging 230,112.000 PKR mn from Nov 2016 (Median) to Sep 2018, with 23 observations. The data reached an all-time high of 261,469.000 PKR mn in Jul 2017 and a record low of 196,653.000 PKR mn in Sep 2018. Pakistan Market Cap: PSX: Insurance data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).

  16. f

    p-values for the second hypothesis test.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
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    Shazia Usmani; Jawwad A. Shamsi (2023). p-values for the second hypothesis test. [Dataset]. http://doi.org/10.1371/journal.pone.0282234.t007
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Shazia Usmani; Jawwad A. Shamsi
    License

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

    Description

    A significant correlation between financial news with stock market trends has been explored extensively. However, very little research has been conducted for stock prediction models that utilize news categories, weighted according to their relevance with the target stock. In this paper, we show that prediction accuracy can be enhanced by incorporating weighted news categories simultaneously into the prediction model. We suggest utilizing news categories associated with the structural hierarchy of the stock market: that is, news categories for the market, sector, and stock-related news. In this context, Long Short-Term Memory (LSTM) based Weighted and Categorized News Stock prediction model (WCN-LSTM) is proposed. The model incorporates news categories with their learned weights simultaneously. To enhance the effectiveness, sophisticated features are integrated into WCN-LSTM. These include, hybrid input, lexicon-based sentiment analysis, and deep learning to impose sequential learning. Experiments have been performed for the case of the Pakistan Stock Exchange (PSX) using different sentiment dictionaries and time steps. Accuracy and F1-score are used to evaluate the prediction model. We have analyzed the WCN-LSTM results thoroughly and identified that WCN-LSTM performs better than the baseline model. Moreover, the sentiment lexicon HIV4 along with time steps 3 and 7, optimized the prediction accuracy. We have conducted statistical analysis to quantitatively assess our findings. A qualitative comparison of WCN-LSTM with existing prediction models is also presented to highlight its superiority and novelty over its counterparts.

  17. f

    Baseline model’s (LSTM) optimized hyper-parameters values.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 2, 2023
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    Shazia Usmani; Jawwad A. Shamsi (2023). Baseline model’s (LSTM) optimized hyper-parameters values. [Dataset]. http://doi.org/10.1371/journal.pone.0282234.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Shazia Usmani; Jawwad A. Shamsi
    License

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

    Description

    Baseline model’s (LSTM) optimized hyper-parameters values.

  18. P

    Pakistan Market Cap: PSX: Leasing Companies

    • ceicdata.com
    Updated Aug 9, 2020
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    CEICdata.com (2020). Pakistan Market Cap: PSX: Leasing Companies [Dataset]. https://www.ceicdata.com/en/pakistan/karachi-stock-exchange-market-capitalization-new-classification/market-cap-psx-leasing-companies
    Explore at:
    Dataset updated
    Aug 9, 2020
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Pakistan
    Variables measured
    Market Capitalisation
    Description

    Pakistan Market Cap: PSX: Leasing Companies data was reported at 6,084.000 PKR mn in Oct 2018. This records a decrease from the previous number of 7,128.000 PKR mn for Sep 2018. Pakistan Market Cap: PSX: Leasing Companies data is updated monthly, averaging 6,390.500 PKR mn from Nov 2016 (Median) to Oct 2018, with 24 observations. The data reached an all-time high of 7,570.000 PKR mn in Apr 2018 and a record low of 4,308.000 PKR mn in Jul 2017. Pakistan Market Cap: PSX: Leasing Companies data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).

  19. P

    Pakistan Market Cap: PSX: Textile Spinning

    • ceicdata.com
    Updated Aug 9, 2020
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    CEICdata.com (2020). Pakistan Market Cap: PSX: Textile Spinning [Dataset]. https://www.ceicdata.com/en/pakistan/karachi-stock-exchange-market-capitalization-new-classification/market-cap-psx-textile-spinning
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    Dataset updated
    Aug 9, 2020
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Pakistan
    Variables measured
    Market Capitalisation
    Description

    Pakistan Market Cap: PSX: Textile Spinning data was reported at 47,759.000 PKR mn in Oct 2018. This records an increase from the previous number of 47,503.000 PKR mn for Sep 2018. Pakistan Market Cap: PSX: Textile Spinning data is updated monthly, averaging 50,811.500 PKR mn from Nov 2016 (Median) to Oct 2018, with 24 observations. The data reached an all-time high of 61,608.000 PKR mn in Nov 2016 and a record low of 44,544.000 PKR mn in Nov 2017. Pakistan Market Cap: PSX: Textile Spinning data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).

  20. P

    Pakistan Market Cap: PSX: Textile Weaving

    • ceicdata.com
    Updated Aug 9, 2020
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    CEICdata.com (2020). Pakistan Market Cap: PSX: Textile Weaving [Dataset]. https://www.ceicdata.com/en/pakistan/karachi-stock-exchange-market-capitalization-new-classification/market-cap-psx-textile-weaving
    Explore at:
    Dataset updated
    Aug 9, 2020
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Pakistan
    Variables measured
    Market Capitalisation
    Description

    Pakistan Market Cap: PSX: Textile Weaving data was reported at 27,856.000 PKR mn in Sep 2018. This records a decrease from the previous number of 29,801.000 PKR mn for Aug 2018. Pakistan Market Cap: PSX: Textile Weaving data is updated monthly, averaging 30,093.000 PKR mn from Nov 2016 (Median) to Sep 2018, with 23 observations. The data reached an all-time high of 87,706.000 PKR mn in Nov 2016 and a record low of 25,105.000 PKR mn in Feb 2018. Pakistan Market Cap: PSX: Textile Weaving data remains active status in CEIC and is reported by State Bank of Pakistan. The data is categorized under Global Database’s Pakistan – Table PK.Z003: Karachi Stock Exchange: Market Capitalization (New Classification).

Share
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Email
Click to copy link
Link copied
Close
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TRADING ECONOMICS (2025). Pakistan Stock Market (KSE100) Data [Dataset]. https://tradingeconomics.com/pakistan/stock-market

Pakistan Stock Market (KSE100) Data

Pakistan Stock Market (KSE100) - Historical Dataset (1994-05-25/2025-03-26)

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8 scholarly articles cite this dataset (View in Google Scholar)
json, excel, csv, xmlAvailable download formats
Dataset updated
Feb 15, 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
May 25, 1994 - Mar 26, 2025
Area covered
Pakistan
Description

The main stock market index in Pakistan (KSE 100) increased 2645 points or 2.30% since the beginning of 2025, 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 March of 2025.

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