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Sanya Agarwal is Head of Macro Research at India Macro Indicators. She tracks monetary policy and and Indian macro trends to decode what they mean for the markets.
October 6, 2026 at 7:30 AM IST
Transmission is normally reported as a single completeness figure: how much of a policy move turns up in bank rates. That averages two very different populations. One is the business a bank writes today, priced at current conditions. The other is the book it already carries, priced at whatever prevailed when each contract was signed.
Separate the two and a pattern emerges across both sides of the balance sheet and in both directions of the last full cycle.
Two Benchmarks
The Reserve Bank's own transmission table sets the last tightening cycle against the easing that followed.
|
Rate |
Tightening, May 2022 to Jan 2025 (+250 bps) |
Easing, Feb 2025 to Aug 2026 (−125 bps) |
|
EBLR |
+250 bps (100%) |
−125 bps (100%) |
|
MCLR, 1-year median |
+175 bps (70%) |
−30 bps (24%) |
|
WALR, fresh rupee loans |
+182 bps (72%) |
−72 bps (58%) |
|
WALR, outstanding rupee loans |
+115 bps (46%) |
−91 bps (73%) |
|
Deposits, fresh (retail and bulk) |
+259 bps (104%) |
−95 bps (76%) |
|
Deposits, outstanding |
+206 bps (82%) |
−53 bps (42%) |
Source: RBI Monetary Policy Report, 1 Finance Research. Percentages are computed against the repo movement in each cycle. The two windows are contiguous, so the legs can be netted. EBLR data covers 32 domestic banks.
Read across the EBLR row, and the policy rate arrives in full in both directions. Read across the MCLR row, and it arrives at 70% when rates rise and 24% when they fall, a nearly three-to-one difference.
That is not a rounding difference between technical measures. It is the difference between the two benchmarks under which Indian households actually hold floating-rate loans. The RBI itself acknowledges that internal benchmarks with longer reset periods slow transmission.
Consider two households with identical floating-rate home loans. One borrowed after October 2019 and is priced off the repo. The other borrowed earlier and remains on MCLR, as 29.6% of the floating-rate book still did in June 2026.
Through the tightening, the first absorbed 250 basis points and the second 175. Through the easing, the first received the full 125 and the second received 30. Because the measurement windows are contiguous, the round trip can be added up. The policy rate ended the cycle 125 basis points above where it started. The external-benchmark borrower ended 125 basis points higher, exactly tracking it. The MCLR borrower ended 145 basis points higher, further above their starting point than the policy rate itself.
Neither household chose this. The difference is the year each signed, and no instrument available to the MPC addresses it.
The split would matter less if it were evenly distributed. It is not. At end-June 2026, external benchmarks covered 90.8% of floating-rate loans at private banks and 94.7% at foreign banks, but only 53.6% at public sector banks. Put differently, 43.2% of public sector floating-rate loans remained on MCLR, against 8.7% at private lenders.
The household whose home loan sits with a public sector bank is therefore about five times as likely to be in the cohort that absorbs 70% of a hike and 24% of a cut. The household that borrowed from a private lender is far more likely to receive both in full, within a quarter of the decision.
The mechanism is contractual rather than behavioural. EBLR is tied to the repo with a mandatory reset at least quarterly, so an existing loan rate moves regardless of the borrower's actions. MCLR is an internal benchmark based on each bank's cost of funds, with reset periods typically annual. A policy change therefore reaches an MCLR borrower only when the reset clock allows it and only to the extent the bank's funding costs have moved.
That may be defensible for pricing an individual loan. It is harder to defend as a transmission mechanism when the two populations are this unequal, the split tracks bank ownership and the allocation is not decided by the committee setting the policy rate.
A Deeper Cycle
The obvious answer is that the problem will solve itself as more of the book migrates to external benchmarks.
It does, but too slowly to help borrowers facing the October decision. Public sector coverage rose from 47.2% in June 2025 to 53.6% in June 2026. At that pace, it would reach today's private-bank level around 2032.
The chart also captures something the aggregate hides. Public sector coverage stalled between mid-2022 and mid-2023, moving from 36.2% to 36.1%, while private banks rose from 64.5% to 73.2%. That stall coincided with the middle of the last tightening cycle, when the difference between the two benchmarks mattered most.
Two consequences follow. First, each cycle lands at full force on a larger share of the book: 44.1% of the floating book at the start of the last tightening cycle, versus 68.2% today. A given number of basis points is therefore a more restrictive instrument each time it is used, by an amount nobody votes on.
Second, migration runs on the loan side only. There is no external benchmark for a term deposit, no mandatory reset and no proposal to introduce one. That is why outstanding deposits captured 82% of the last tightening and gave back 42% of the easing, while the loan book was steadily converted into something that moves in full
What This Changes About the 2018 Comparison