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Early Thursday trading saw Indian government bonds lose their initial gains as stronger dollar inflows were overshadowed by soaring oil prices. Traders covering short positions led to better performance in shorter maturities. Abundant liquidity helped reduce overnight indexed swap rates, but the spike in oil prices heightened concerns about India’s inflation trajectory and fiscal integrity.
Sebi has proposed allowing mutual fund schemes to settle cash-market fund obligations on a net basis for eligible outright transactions. The move could ease temporary liquidity pressures and reduce funding needs, particularly during index rebalancing or large inflows and outflows. Securities will continue to be settled on a gross delivery basis.
Nilkamal Limited surges 66% after InvestingPro Fair Value signal
Aditya Birla Sun Life Flexi Cap Fund’s Rs 10,000 monthly SIP grew to Rs 7.25 crore from Rs 33.50 lakh invested since 1998, delivering 17.92% SIP returns and a 20.77% CAGR, outperforming the Nifty 500 TRI with active, flexible portfolio management.
Piper Sandler sees Brent at $90 in H2 — and says that may be an underestimate
US stock futures showed mixed results on September 3, following gains in major indices. Bond yields fell, while inflation concerns lingered, as traders anticipated interest-rate hikes from central banks amid rising oil prices.
Jefferies raises long-term uranium prices outlook
As Netflix’s stock plunges 38% from its peak, market experts examine the factors influencing this decline and the potential for a rebound. With mixed signals on earnings and competitive pressure, investors are left questioning whether this is the right time to buy or wait for more clarity.
Sebi’s proposal aims to reduce temporary liquidity requirements and improving settlement efficiency for mutual fund schemes
Indian banks are now deploying artificial intelligence in production across various functions. Scaling these AI deployments faces significant hurdles related to security and data usability. Retail lending and customer service show the biggest operational impact from current AI initiatives. Banks are preparing to use AI in more consequential areas like credit risk and fraud detection.