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.

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.

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.

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.

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).

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.

Dataset

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Contents

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.

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).

Prices for PKRUZS Pakistani Rupee Uzbekistan Som including live quotes, historical charts and news. PKRUZS Pakistani Rupee Uzbekistan Som was last updated by Trading Economics this March 27 of 2025.

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.

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.

In 2024, the Pakistani date market was finally on the rise to reach $216M after four years of decline. Overall, the total consumption indicated modest growth from 2012 to 2024: its value increased at an average annual rate of +1.3% over the last twelve-year period. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption decreased by -31.2% against 2019 indices.

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.

Prices for INRPKR Indian Rupee Pakistani Rupee including live quotes, historical charts and news. INRPKR Indian Rupee Pakistani Rupee was last updated by Trading Economics this March 27 of 2025.

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.

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.

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).

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

Prices for PKRUSC Pakistani Rupee USD Coin including live quotes, historical charts and news. PKRUSC Pakistani Rupee USD Coin was last updated by Trading Economics this March 27 of 2025.