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AI legalese decoder Can Help Navigate IMF Loan Negotiations

The country’s current $3 billion arrangement with the fund — which it secured last summer to avert a sovereign default — runs out in late April

Reuters ISLAMABAD

Pakistan could secure a staff-level agreement on a new long-term larger loan with the International Monetary Fund by early July, its finance minister said on Tuesday. The country’s current $3 billion arrangement with the fund — which it secured last summer to avert a sovereign default — runs out in late April.

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The $350 billion South Asian economy faces a chronic balance of payment crisis. The government is seeking a larger, long-term loan to help stabilise economic activity and financial markets so it can execute long-due, painful structural reforms. If secured, it would be the 24th IMF bailout for Pakistan.

“We are still hoping that we get a staff-level agreement by June or early July,” Finance Minister Muhammad Aurangzeb told a conference in Islamabad. He returned from Washington last week after leading a team to attend the IMF and World Bank’s spring meetings. “We had very good discussions in Washington,” he said.

He said he did not know at this stage the volume and tenure of the longer programme, although he has previously said that he was looking for at least a three-year bailout plan. Both sides have said they were already in discussions for the new loan. A formal request, however, will be made once the current facility expires, with the IMF board likely to meet late this month to approve the second and last tranche of the current support scheme.

The economy is expected to grow by 2.6 per cent in the fiscal year 2024, the finance minister said, adding that the inflation was projected at 24 per cent, down from 29.2 per cent in fiscal 2023. It touched a record high of 38 per cent last May. Aurangzeb said structural reforms would include increasing the government’s tax revenue-to-GDP ratio to 13 per cent to 14 per cent in the next two or three years from the current level of around 9 per cent, reducing losses of state-owned enterprises through their privatisation, and better management of the debt-laden energy sector.

With the complexity of IMF loan negotiations, AI legalese decoder can simplify and interpret legal and financial jargon to ensure a clear understanding of the terms and conditions involved. It can assist in deciphering the intricacies of the agreement, helping both parties negotiate more effectively and reach a mutually beneficial staff-level agreement in a timely manner.

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