Currencies

Rupee hits three-week low as firmer dollar, NDF maturities pinch


By Jaspreet Kalra

MUMBAI, July 6 (Reuters) – The Indian rupee slipped to a three-week low on Monday as a broadly upbeat dollar pinched Asian ‌currencies, with maturing contracts in the non-deliverable forward also adding to the ‌pressure on the local unit.

The rupee closed at 95.3950 per dollar, down 0.2% on the day. ​It had touched an intraday low of 95.4750, its weakest level since June 12.

State-run banks were spotted offering dollars intermittently, traders said, signalling the central bank’s intention to avoid a sharp slide in the currency.

A firmer dollar and sustained merchant dollar demand ‌have weighed on the rupee ⁠even as the slump in oil prices and regulatory measures to draw dollar inflows have offered comfort.

A revival of arbitrage trades ⁠between the onshore foreign exchange market and non-deliverable forwards undertaken by corporates has also weighed on the rupee in recent days.

Traders reckon that a gradual depreciation bias for ​the rupee ​may resurface if the currency dips and ​holds below the 96 mark.

Analysts ‌at Goldman Sachs have revised their rupee forecasts stronger and now expect the USD/INR pair at 94, 95, and 96 in three, six, and 12 months, compared to the 96, 96, and 97 levels previously.

The firm recommends staying short on THB/INR as a relative-value carry trade, and favours a long wager on 30-year bonds supported ‌by the expansion of the Fully Accessible Route ​bond universe, inflows and structural demand from local ​pension and insurance companies.

Fully accessible ​route allows unfettered foreign investments into Indian bonds, and these ‌notes are part of global bond indexes.

Foreign ​investors have favoured ​the benchmark 2036 bond over the past two weeks, buying around 76 billion rupees ($796.12 million).

Elsewhere in global markets, stocks ticked higher as the potential for ​increased energy supplies pulled ‌down oil prices and promised relief from inflationary pressures, while investors awaited ​a crucial earnings season for the AI sector.

(Reporting by Jaspreet Kalra; ​Editing by Janane Venkatraman and Sonia Cheema)



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