Traders mark 2022 as ‘bad year’ for Pakistan stock market, fears haunt investors for 2023

A stockbroker monitors the latest share prices during a trading session at the Pakistan Stock Exchange (PSX) in Karachi on April 4, 2022. (AFP/File)
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Updated 29 December 2022
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Traders mark 2022 as ‘bad year’ for Pakistan stock market, fears haunt investors for 2023

  • Benchmark KSE100 index lost over 6,000 points as market capitalization fell 18 percent in rupee and 36 percent in US dollar terms since January
  • The equity market was impacted by political turbulence, high interest regime, currency depreciation and falling forex reserves

KARACHI: Traders and market analysts described 2022 as a tough year for Pakistan’s stock market on Thursday, as many of them warned the trend could persist in the coming year amid a worsening economic situation and enduring political uncertainty in the country.

According to the Pakistan Stock Exchange (PSX) data, the benchmark KSE100 index lost over 6,000 points since the beginning of the year and the market capitalization of listed companies fell by 18 percent to Rs6.3 trillion until December 28.

Given the exchange rate volatility, the loss in the US dollar terms amounted to 36 percent and brought the market value down to $28 billion.

“For the Pakistan stock market, 2022 was not a good year,” Muhammad Sohail, chief executive officer of Topline Securities, told Arab News. “The share prices came down sharply in 2022 along with the volume. There were also very few initial public offerings and other right issues.”




A stockbroker monitors the share prices during a trading session at the Pakistan Stock Exchange (PSX) in Karachi on June 3, 2022. (AFP)

Pakistan’s stock market only recorded three new listings in the outgoing year that generated a total amount Rs1.3 billion, the lowest in the last nine years.
Sohail believed the tight monetary policy regime and political situation played a critical role in keeping the market performance subdued.

“The tightening of monetary policy, which led to an interest rate hike from 10 to 16 percent, did not prove good along with the overall pollical situation of the country,” he continued. “Together the two things kept the equity market situation bad.”

Pakistan’s central bank raised the key policy rate by 625 basis points in 2022 to contain rising inflation which hovered around the record high of 25 percent.

Ahsan Mehanti, the top official at the Arif Habib Corporation, added “growing cost of doing business” to his list of negative factors that slowed down the stock market.

He noted the national currency of the South Asian country “devalued over 21 percent during the year from Rs177 to more than Rs226” against the US dollar due to the economic uncertainty over Pakistan’s debt repaying ability and huge imports coupled with the dollar rate hike in the global market.

Small traders also complained about higher interest rate regime which, they said, took its toll on the profitability of companies and increased the cost of doing business.

“The interest rates are almost at an all-time high,” Jibran Sarfraz, a trader and broker at PSX, complained. “At such levels, it has become difficult to do business due to the substantial increase in the borrowing cost.”

He maintained the higher interest rate made finished goods more expensive, impacting sales and profit margins of various organizations.

Despite the adverse business environment prevailing at country’s stock market, however, a number of sectors performed well while other posted huge declines.

Real Estate Investment Trust (REIT), Synthetic & Rayon, and Sugar were the top performing sectors in 2022 and their market capitalization increased by 12, six and five percent, respectively.

Engineering, automobile parts, and miscellaneous sectors, on the other hand, declined by 45, 41 and 34 percent, respectively.

During the outgoing year, the government and the IMF continued to discuss a $7 billion bailout program, though Pakistani officials remained visibly reluctant to implement harsh conditions imposed by the global lender which caused delays in the completion of performance reviews under the financial facility.

Currently, the country is working with the IMF over the ninth review, though the two sides have made very little progress which has left the stock exchange in a prolonged state of economic uncertainty.




A participant stands near a logo of IMF at the International Monetary Fund - World Bank Annual Meeting 2018 in Nusa Dua, Bali, Indonesia, on October 12, 2018. (REUTERS/File)

Meanwhile, Pakistan’s forex reserves stand at $6.1 billion which are barely enough to provide an import cover of one month to the country.

The dire situation of the economy has prompted international credit rating agencies like Standard and Poor, Fitch and Moody’s to downgrade Pakistan. The foreign firms have bracketed the South Asian state with countries like Angola, Congo, Tunisia and Nigeria who were previously thought to be perilously close to default.

While Pakistan’s finance minister has tried to dispel such economic fears, he has simultaneously conceded that the country is in a tight spot.

The country’s equity traders and analysts fear the market performance in 2023 may also remain dull due to the external debt repayment crisis and increased political noise ahead of the general elections.


Pakistani student launches ‘Urdu ChatGPT’ AI model

Updated 18 January 2026
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Pakistani student launches ‘Urdu ChatGPT’ AI model

  • Developer says “Qalb” is largest large language model built exclusively for Urdu
  • Project highlights push to localize artificial intelligence for non-English users

ISLAMABAD: A Pakistani student studying in the United States has launched an artificial intelligence model designed exclusively for the Urdu language, a development its creator says could help bridge longstanding gaps in access to advanced digital tools for millions of speakers worldwide.

The project, called Qalb, is positioned as an Urdu-first large language model at a time when most generative AI systems are primarily trained on English and other widely used global languages. Supporters of language-specific models argue they can improve accuracy, cultural relevance and accessibility for users in education, business and public services.

Urdu is spoken by more than 230 million people globally, including in Pakistan, India and diaspora communities, but remains under-represented in advanced AI systems. Efforts to localize artificial intelligence have increasingly been seen as critical for widening participation in digital economies, particularly in developing countries.

“Qalb is now recognized as the world’s largest Large Language Model created exclusively for the Urdu language,” Taimoor Hassan, the project’s developer, was quoted this month in a report in state-run news agency APP. 

“Trained on a massive dataset of 1.97 billion tokens and benchmarked across seven-plus international evaluation frameworks, Qalb outperforms existing Urdu-focused AI models on key real-world performance indicators, setting a new standard for natural language processing in Pakistan,” Hassan said.

“This is a development model and in the next phase we would soon launch App for mobile and web so that people could use and benefit from Qalb ChatGPT.”

Hassan completed his undergraduate degree in computer science at FAAST University’s Peshawar campus and is currently studying for a master’s degree in computer science and software engineering at Auburn University in the United States. According to APP, he is a serial entrepreneur who has previously launched and exited multiple startups and has represented Pakistan at international technology forums.

“I had the opportunity to contribute in a small way to a much bigger mission for the country,” Hassan said.

“Together with my undergraduate roommates and teammates, Jawad Ahmed and Muhammad Awais, we are committed to continuously fine-tuning localized models for niche industries, which we believe can become a major breakthrough for Pakistan.”

Both collaborators are also graduates of FAAST University Peshawar Campus and are currently studying in Germany, APP reported.

The team behind Qalb said the model is intended to support local businesses, startups, educational platforms and voice-based digital services, arguing that meaningful innovation is no longer limited to large technology firms.

“Technology is no longer locked behind big budgets or big teams. With the right mindset, even a small group can build products that educate, automate, and serve millions,” Hassan told APP.