‹ All Posts
SHUBINVESTS I SEBI RA

16th Oct · SEBI-Registered Analyst

✅ RBI’s Big Shift: New “Expected Credit Loss” Model to Keep Bad Loans in Check

Imagine you’re a bank manager. Until now, you only set aside buffers when a loan actually turns sick (misses payments), following what’s called the “incurred loss” model. But now, RBI wants you—and every bank in India—to look ahead: estimate, up front, the chances that any loan could turn sour, even if the borrower is still paying on time. Welcome to the “Expected Credit Loss” (ECL) model.​ How does it work? For each loan, banks will combine three things: the odds of default, how much they might lose on default, and the loan amount at risk. They’ll use this formula: Expected Loss = Probability of Default (PD) × Loss Given Default (LGD) × Exposure at Default (EAD) This means banks have to be more proactive—starting to save for risks even when everything looks fine. If risk on a loan rises (say, an industry weakens), they boost the buffer right away. This global best practice makes bank books healthier from the start, helping avoid crises like the bad loan wave post-2012.​ The catch? Banks may take a one-time hit (analysts estimate up to ₹60,000 crore across the sector), and earnings might look weaker for a while as they build these larger rainy-day funds. But the long-term payoff is real trust: investors, depositors, and the system as a whole get a shock absorber for tough times—and less drama from sudden NPAs. Stocks that could face adjustments: ICICI Bank

ICICIBANK
, HDFC Bank
HDFCBANK
: Well-capitalized, data-rich banks should transition smoothly and set the pace.​ Axis Bank
AXISBANK
, Kotak Mahindra
KOTAKBANK
: Efficient buffers, but near-term provisions might bump profits. NBFCs and PSU banks: Those with higher portfolios of riskier loans will feel more pressure, but will emerge stronger long term. 📌 Learning Takeaway: RBI will require banks to use the “Expected Credit Loss” model—proactively estimating bad loans—making the banking system more resilient.​

#StockInNews#FundamentalViews#HiddenGems#EquityResearch#MacroViews
1,140 likes·86 comments