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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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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.
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Key information about Pakistan KSE 100
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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.
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Key information about Pakistan Market Capitalization
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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).
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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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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.