India's largest stock exchange, NSE, faces a new hurdle in its decade-long IPO journey. A petition in Delhi High Court questions Sebi's approval for the listing. The case centers on alleged violations of rules for adjusting derivative trades during corporate actions. This legal challenge could once again delay NSE's much-awaited public debut. The court's decision is keenly awaited.
Corporate revenues and profits surged in India during the December quarter, driven by GST reforms and strong performance in key sectors like automotive and financials. Analysts anticipate continued double-digit earnings growth in FY27, supported by favorable trade deals and improving business fundamentals, with a shift towards mid- and small-cap companies.
Bond yields are diverging, with short-term rates falling due to liquidity while long-term rates rise, signaling the end of the current rate-cut cycle. Institutions are locking in long-term funds, anticipating future rate increases, as the market prices in a potential shift to higher rates.
Nifty faces a range-bound week after failing to breach 26,000. Analysts anticipate cautious trading with support seen at 25,300 and resistance at 25,700-26,000. Traders are advised a wait-and-watch approach. Key stock picks include Bajaj Finance, Torrent Pharma, Tata Motors Passenger Vehicles, Dr. Reddys Laboratories, L&T, and Pricol, offering potential trading opportunities.
Chinese stocks face a gloomy outlook as corporate earnings show a significant downturn. Investors are concerned that upcoming holiday spending will not be enough to boost the market. Economic indicators point to weak consumer demand. This situation is fueling worries that the Lunar New Year will not bring its usual economic uplift.
Debt investors are increasingly concerned about major tech companies taking on significant debt for AI development, leading to a surge in credit derivative trading. This market activity, particularly for single-company contracts on issuers like Meta and Alphabet, reflects a growing demand for protection against potential defaults as AI investments escalate.
