23 datasets found
  1. T

    Pakistan Stock Market (KSE100) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Pakistan Stock Market (KSE100) Data [Dataset]. https://tradingeconomics.com/pakistan/stock-market
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    json, excel, csv, 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
    May 25, 1994 - Jul 31, 2025
    Area covered
    Pakistan
    Description

    Pakistan's main stock market index, the KSE 100, rose to 139379 points on July 31, 2025, gaining 0.70% from the previous session. Over the past month, the index has climbed 8.72% and is up 79.29% 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 July of 2025.

  2. T

    Pakistan - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). Pakistan - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/pakistan/stock-market-return-percent-year-on-year-wb-data.html
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    May 29, 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 market return (%, year-on-year) in Pakistan was reported at 16.44 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  3. Pakistan Equity Market Index

    • ceicdata.com
    • dr.ceicdata.com
    Updated Jun 15, 2023
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    CEICdata.com (2023). Pakistan Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/pakistan/equity-market-index
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    Dataset updated
    Jun 15, 2023
    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
    Jul 1, 2022 - Jun 1, 2023
    Area covered
    Pakistan
    Description

    Key information about Pakistan KSE 100

    • Pakistan KSE 100 closed at 41,452.7 points in Jun 2023, compared with 41,330.6 points at the previous month end
    • Pakistan Equity Market Index: Month End: Pakistan: KSE 100 data is updated monthly, available from Sep 1996 to Jun 2023, with an average number of 11,785.8 points
    • The data reached an all-time high of 50,591.6 points in May 2017 and a record low of 841.7 points in Oct 1998

    CEIC calculates monthly Equity Market Index from daily Equity Market Index based on the last business day of the month. Pakistan Stock Exchange Limited provides Equity Market Index

  4. 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 July of 2025.

  5. Pakistan Market Capitalization

    • ceicdata.com
    • dr.ceicdata.com
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    CEICdata.com, Pakistan Market Capitalization [Dataset]. https://www.ceicdata.com/en/indicator/pakistan/market-capitalization
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    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Pakistan
    Description

    Key information about Pakistan Market Capitalization

    • Pakistan Market Capitalization accounted for 49.986 USD bn in Feb 2025, compared with a percentage of 50.382 USD bn in the previous month
    • Pakistan Market Capitalization is updated monthly, available from Mar 1999 to Feb 2025
    • The data reached an all-time high of 96.158 USD bn in May 2017 and a record low of 4.459 USD bn in Sep 2001

    CEIC converts monthly Market Capitalization into USD. Pakistan Stock Exchange Limited provides Market Capitalization in local currency. The State Bank of Pakistan period end market exchange rate is used for currency conversions.

  6. Pakistan Market Cap: PSX: All Shares

    • ceicdata.com
    Updated Aug 9, 2020
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    CEICdata.com (2020). 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
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    Dataset updated
    Aug 9, 2020
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Pakistan
    Variables measured
    Market Capitalisation
    Description

    Pakistan Market Cap: PSX: All Shares data was reported at 13,520,596.056 PKR mn in Apr 2025. This records a decrease from the previous number of 14,374,200.085 PKR mn for Mar 2025. Pakistan Market Cap: PSX: All Shares data is updated monthly, averaging 4,126,558.206 PKR mn from Mar 1999 (Median) to Apr 2025, with 314 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).

  7. f

    Truth table 2021.

    • plos.figshare.com
    xls
    Updated May 30, 2024
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    Dongli Cao; Safdar Husain Tahir; Syed Maisam Raza Rizvi; Khuda Bakhsh Khan (2024). Truth table 2021. [Dataset]. http://doi.org/10.1371/journal.pone.0302210.t004
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    xlsAvailable download formats
    Dataset updated
    May 30, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Dongli Cao; Safdar Husain Tahir; Syed Maisam Raza Rizvi; Khuda Bakhsh Khan
    License

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

    Description

    This research investigates the glass cliff effect and the positions held by women in leadership roles, focusing on their impact on operational liquidity. The study delves into the relationship between corporate governance attributes and operational liquidity in 60 non-financial companies listed on the Pakistan Stock Exchange during Covid-19. Utilizing Quine-McCluskey technique and fuzzy set Qualitative Comparative Analysis (fsQCA), it examines the combined effect of Women on the Board, Board Size, Ownership by Blockholders, Board Qualifications and Busy Directors on Operational Liquidity. The necessary condition analysis (NCA) emphasises that firms can operate without reliance on any particular variable taken in the study. The sufficiency analysis provided an expanded understanding of the three conditions leading to the same outcome both before and during the pandemic. This research highlights the significance of the glass cliff effect and emphasizes the pivotal role of women in effectively managing liquidity during times of crisis. Additionally, it provides valuable insights for policymakers regarding the impact of Covid-19 on the interplay between corporate governance characteristics and operational liquidity.

  8. f

    S2 Data -

    • plos.figshare.com
    xlsx
    Updated Oct 19, 2023
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    Zhiying Mai; Hassan Mujtaba Nawaz Saleem; Muhammad Kamran (2023). S2 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0292284.s002
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Oct 19, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Zhiying Mai; Hassan Mujtaba Nawaz Saleem; Muhammad Kamran
    License

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

    Description

    The stock market is the barometer of the economy that reflects the overall health and direction of the economic development and is affected by different factors including social, environmental and political. It is important to investigate the effect of the political instability on the stock market performance, especially on emerging economies. Therefore, we aim to study the relationship between political instability and stock market performance in Pakistan. To meet our objectives, we used past data from 1996 to 2021. Data are collected from the DataStream data base. MSCI indices are used as the proxy for the Stock market performance of the selected country. World governance six indicators are used in the study as the explanatory variable concentrating the political instability index as the main explanatory variable. Regression analysis is used but two-way robustness analysis was done for the accuracy of the findings through GMM methods and taking GDP as another endogenous variable. Our findings shows that the political stability has significant positive impact on the stock market performance while, political instability has negative impact on stock market performance. Moreover, other governance indicators has a significant positive impact on performance. However, political instability disrupts the operations and economical activities that leads to decrease the investor confidence and also decrease the foreign investment with the increment of the risk in the country. Moreover, our study has some implications for investors to develop the diversified portfolio to minimize the risk and policy makers can increase their foreign direct investment within the economy by controlling the political instability.

  9. f

    Variables measurement.

    • plos.figshare.com
    xls
    Updated Oct 19, 2023
    + more versions
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    Zhiying Mai; Hassan Mujtaba Nawaz Saleem; Muhammad Kamran (2023). Variables measurement. [Dataset]. http://doi.org/10.1371/journal.pone.0292284.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 19, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Zhiying Mai; Hassan Mujtaba Nawaz Saleem; Muhammad Kamran
    License

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

    Description

    The stock market is the barometer of the economy that reflects the overall health and direction of the economic development and is affected by different factors including social, environmental and political. It is important to investigate the effect of the political instability on the stock market performance, especially on emerging economies. Therefore, we aim to study the relationship between political instability and stock market performance in Pakistan. To meet our objectives, we used past data from 1996 to 2021. Data are collected from the DataStream data base. MSCI indices are used as the proxy for the Stock market performance of the selected country. World governance six indicators are used in the study as the explanatory variable concentrating the political instability index as the main explanatory variable. Regression analysis is used but two-way robustness analysis was done for the accuracy of the findings through GMM methods and taking GDP as another endogenous variable. Our findings shows that the political stability has significant positive impact on the stock market performance while, political instability has negative impact on stock market performance. Moreover, other governance indicators has a significant positive impact on performance. However, political instability disrupts the operations and economical activities that leads to decrease the investor confidence and also decrease the foreign investment with the increment of the risk in the country. Moreover, our study has some implications for investors to develop the diversified portfolio to minimize the risk and policy makers can increase their foreign direct investment within the economy by controlling the political instability.

  10. f

    Data from: S1 Dataset -

    • plos.figshare.com
    xlsx
    Updated Apr 16, 2024
    + more versions
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    Rekurd S. Maghdid; Saeed Mohammed Kareem; Yaseen Salih Hama; Muhammad Waris; Rana Tahir Naveed (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0301698.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Apr 16, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Rekurd S. Maghdid; Saeed Mohammed Kareem; Yaseen Salih Hama; Muhammad Waris; Rana Tahir Naveed
    License

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

    Description

    The objective of the study is to explore the relationship between country governance practices along with political stability and Economic policy uncertainty, and stock market performance of two different economies, Pakistan and Kurdistan region of Iraq. To meet our objectives, we used the 25 years past data from 1996 to 2021. Data is collected from the DataStream database. The regression analysis is used as the method of estimation for linear and moderation effect. Our results show that regulatory quality, rules of law and political stability has significant positive relationship with stock market performance of Pakistan, but all the governance indicators have significant positive relationship with stock market performance of the Kurdistan Region of Iraq. Moreover, political stability has significant moderating impact between the governance practices and the performance of the stock markets of both economies indicating that the governance practices perform well with the political stability that leads to rise in the stock market indices of selected countries. Economic policy uncertainty has significant negative moderation impact due to creating the risk in both economies that decrease the performance of the stock markets of the selected economies. Finally, our study advocated some implications for the investors to increase their confidence on the stock of high political stability and low economic policy uncertainty economies. Government can take significant measures to control the uncertainty of the policy and portfolio managers can adjust their risk on the ground of the political stability and efficient governance practices countries.

  11. f

    Robustness analysis through GMM method.

    • plos.figshare.com
    xls
    Updated Oct 19, 2023
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    Zhiying Mai; Hassan Mujtaba Nawaz Saleem; Muhammad Kamran (2023). Robustness analysis through GMM method. [Dataset]. http://doi.org/10.1371/journal.pone.0292284.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Oct 19, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Zhiying Mai; Hassan Mujtaba Nawaz Saleem; Muhammad Kamran
    License

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

    Description

    The stock market is the barometer of the economy that reflects the overall health and direction of the economic development and is affected by different factors including social, environmental and political. It is important to investigate the effect of the political instability on the stock market performance, especially on emerging economies. Therefore, we aim to study the relationship between political instability and stock market performance in Pakistan. To meet our objectives, we used past data from 1996 to 2021. Data are collected from the DataStream data base. MSCI indices are used as the proxy for the Stock market performance of the selected country. World governance six indicators are used in the study as the explanatory variable concentrating the political instability index as the main explanatory variable. Regression analysis is used but two-way robustness analysis was done for the accuracy of the findings through GMM methods and taking GDP as another endogenous variable. Our findings shows that the political stability has significant positive impact on the stock market performance while, political instability has negative impact on stock market performance. Moreover, other governance indicators has a significant positive impact on performance. However, political instability disrupts the operations and economical activities that leads to decrease the investor confidence and also decrease the foreign investment with the increment of the risk in the country. Moreover, our study has some implications for investors to develop the diversified portfolio to minimize the risk and policy makers can increase their foreign direct investment within the economy by controlling the political instability.

  12. Pakistan CB: Advances: NB: Stock Exchange & Brokerage Houses

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Pakistan CB: Advances: NB: Stock Exchange & Brokerage Houses [Dataset]. https://www.ceicdata.com/en/pakistan/advances-by-borrowers-scheduled-commercial-banks/cb-advances-nb-stock-exchange--brokerage-houses
    Explore at:
    Dataset updated
    Jan 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
    Dec 1, 2019 - Jun 1, 2023
    Area covered
    Pakistan
    Variables measured
    Loans
    Description

    Pakistan CB: Advances: NB: Stock Exchange & Brokerage Houses data was reported at 15,817.300 PKR mn in Jun 2023. This records a decrease from the previous number of 15,830.900 PKR mn for Dec 2022. Pakistan CB: Advances: NB: Stock Exchange & Brokerage Houses data is updated semiannually, averaging 15,824.100 PKR mn from Dec 2019 (Median) to Jun 2023, with 8 observations. The data reached an all-time high of 19,351.300 PKR mn in Dec 2021 and a record low of 10,855.500 PKR mn in Dec 2019. Pakistan CB: Advances: NB: Stock Exchange & Brokerage Houses 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.KB011: Advances by Borrowers: Scheduled Commercial Banks.

  13. T

    Pakistan Interest Rate

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 5, 2025
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    TRADING ECONOMICS (2025). Pakistan Interest Rate [Dataset]. https://tradingeconomics.com/pakistan/interest-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    May 5, 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
    Feb 3, 1992 - Jul 30, 2025
    Area covered
    Pakistan
    Description

    The benchmark interest rate in Pakistan was last recorded at 11 percent. This dataset provides - Pakistan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. Pakistan SB: All Bank: Advances: NB: Stock Exchange & Brokerage Houses

    • ceicdata.com
    Updated Jun 15, 2023
    + more versions
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    CEICdata.com (2023). Pakistan SB: All Bank: Advances: NB: Stock Exchange & Brokerage Houses [Dataset]. https://www.ceicdata.com/en/pakistan/advances-by-borrowers-scheduled-banks/sb-all-bank-advances-nb-stock-exchange--brokerage-houses
    Explore at:
    Dataset updated
    Jun 15, 2023
    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
    Dec 1, 2019 - Jun 1, 2023
    Area covered
    Pakistan
    Variables measured
    Loans
    Description

    Pakistan SB: All Bank: Advances: NB: Stock Exchange & Brokerage Houses data was reported at 15,817.300 PKR mn in Jun 2023. This records a decrease from the previous number of 15,830.900 PKR mn for Dec 2022. Pakistan SB: All Bank: Advances: NB: Stock Exchange & Brokerage Houses data is updated semiannually, averaging 15,824.100 PKR mn from Dec 2019 (Median) to Jun 2023, with 8 observations. The data reached an all-time high of 19,351.300 PKR mn in Dec 2021 and a record low of 10,855.500 PKR mn in Dec 2019. Pakistan SB: All Bank: Advances: NB: Stock Exchange & Brokerage Houses 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.KB010: Advances by Borrowers: Scheduled Banks.

  15. F

    France Foreign Direct Investment Financial Flows: Inward: Total: Pakistan

    • ceicdata.com
    Updated Mar 16, 2023
    + more versions
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    CEICdata.com (2023). France Foreign Direct Investment Financial Flows: Inward: Total: Pakistan [Dataset]. https://www.ceicdata.com/en/france/foreign-direct-investment-financial-flows-by-region-and-country-oecd-member-annual
    Explore at:
    Dataset updated
    Mar 16, 2023
    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, 2015 - Dec 1, 2021
    Area covered
    France
    Description

    Foreign Direct Investment Financial Flows: Inward: Total: Pakistan data was reported at -2.000 EUR mn in 2021. This records a decrease from the previous number of -1.000 EUR mn for 2020. Foreign Direct Investment Financial Flows: Inward: Total: Pakistan data is updated yearly, averaging -1.000 EUR mn from Dec 2013 (Median) to 2021, with 9 observations. The data reached an all-time high of 3.000 EUR mn in 2013 and a record low of -3.000 EUR mn in 2015. Foreign Direct Investment Financial Flows: Inward: Total: Pakistan data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s France – Table FR.OECD.FDI: Foreign Direct Investment Financial Flows: by Region and Country: OECD Member: Annual. Reverse investment:Reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) has never been observed or is very negligible. It would be treated as portfolio investment in theory. Netting of reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). Resident Special Purpose Entities (SPEs) do not exist or are not significant and are recorded as zero in the FDI database. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Nominal value .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Direct Influence/Indirect Control (DIIC) method. Debt between fellow enterprises are completely covered. Collective investment institutions not covered as direct investment enterprises. Non-profit institutions serving households are covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the resident direct investor. Outward FDI positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

  16. Lithuania LT: Foreign Direct Investment Position: Inward: % of Total FDI:...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). Lithuania LT: Foreign Direct Investment Position: Inward: % of Total FDI: Total: Pakistan [Dataset]. https://www.ceicdata.com/en/lithuania/foreign-direct-investment--of-total-fdi-by-region-and-country-oecd-member-annual/lt-foreign-direct-investment-position-inward--of-total-fdi-total-pakistan
    Explore at:
    Dataset updated
    Mar 15, 2023
    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
    Dec 1, 2015 - Dec 1, 2023
    Area covered
    Lithuania
    Description

    Lithuania LT: Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Pakistan data was reported at 0.002 % in 2023. This stayed constant from the previous number of 0.002 % for 2022. Lithuania LT: Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Pakistan data is updated yearly, averaging 0.002 % from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 0.003 % in 2015 and a record low of 0.001 % in 2021. Lithuania LT: Foreign Direct Investment Position: Inward: % of Total (FDI) Foreign Direct Investment: Total: Pakistan data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment: % of Total FDI: by Region and Country: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

  17. T

    Steel - Price Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 31, 2025
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    TRADING ECONOMICS (2016). Steel - Price Data [Dataset]. https://tradingeconomics.com/commodity/steel
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 31, 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
    Mar 27, 2009 - Jul 31, 2025
    Area covered
    World
    Description

    Steel fell to 3,158 CNY/T on July 31, 2025, down 2.17% from the previous day. Over the past month, Steel's price has risen 4.22%, and is up 5.27% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Steel - values, historical data, forecasts and news - updated on July of 2025.

  18. T

    Wheat - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 22, 2016
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    TRADING ECONOMICS (2016). Wheat - Price Data [Dataset]. https://tradingeconomics.com/commodity/wheat
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Oct 22, 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
    Sep 21, 1977 - Jul 30, 2025
    Area covered
    World
    Description

    Wheat fell to 527.81 USd/Bu on July 30, 2025, down 0.37% from the previous day. Over the past month, Wheat's price has fallen 3.86%, but it is still 0.11% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on July of 2025.

  19. T

    Iron Ore - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 21, 2015
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    TRADING ECONOMICS (2015). Iron Ore - Price Data [Dataset]. https://tradingeconomics.com/commodity/iron-ore
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Dec 21, 2015
    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
    Oct 22, 2010 - Jul 30, 2025
    Area covered
    World
    Description

    Iron Ore rose to 99.07 USD/T on July 30, 2025, up 0.09% from the previous day. Over the past month, Iron Ore's price has risen 6.06%, but it is still 6.48% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Iron Ore - values, historical data, forecasts and news - updated on July of 2025.

  20. T

    Palm Oil - Price Data

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Jul 25, 2025
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    TRADING ECONOMICS (2025). Palm Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/palm-oil
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jul 25, 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
    Oct 23, 1980 - Jul 25, 2025
    Area covered
    World
    Description

    Palm Oil fell to 4,276 MYR/T on July 25, 2025, down 1.25% from the previous day. Over the past month, Palm Oil's price has risen 6.58%, and is up 8.50% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Palm Oil - values, historical data, forecasts and news - updated on July of 2025.

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Link copied
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TRADING ECONOMICS, Pakistan Stock Market (KSE100) Data [Dataset]. https://tradingeconomics.com/pakistan/stock-market

Pakistan Stock Market (KSE100) Data

Pakistan Stock Market (KSE100) - Historical Dataset (1994-05-25/2025-07-31)

Explore at:
7 scholarly articles cite this dataset (View in Google Scholar)
json, excel, csv, 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
May 25, 1994 - Jul 31, 2025
Area covered
Pakistan
Description

Pakistan's main stock market index, the KSE 100, rose to 139379 points on July 31, 2025, gaining 0.70% from the previous session. Over the past month, the index has climbed 8.72% and is up 79.29% 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 July of 2025.

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