RBI Bulletin – October 2026

The Bulletin is a monthly Reserve Bank publication that brings together speeches, economic analysis, and current statistics. Its October 2026 issue examines both broad economic conditions and specific financial-system questions.

The four articles cover the state of the economy; how policy changes reach scheduled commercial bank lending rates; the performance of the NBFC sector through December 2025; and nowcasting state-level activity using night-time lights and Google Trends. The issue also includes two speeches and current statistics.

Together, these topics connect policy, financial institutions, borrowers, and regional economies. The issue reports strong Indian high-frequency indicators, September inflation pressure, double-digit merchandise-export growth, stronger external flows, and improving NBFC asset quality. It also explores faster tools for tracking economic activity before official annual GSVA data arrive.

Between February 2025 and March 2026, the Reserve Bank reduced the policy repo rate by a cumulative 125 basis points. The repo rate is the policy signal that influences funding conditions across the banking system.

Over the same period, the weighted average lending rate on fresh scheduled commercial bank loans declined by 93 basis points. The study separates this fall into an 80-basis-point interest-rate effect and a 13-basis-point composition effect. The first reflects changes in lending rates themselves. The second reflects changes in where credit was allocated.

The figures show substantial, but incomplete, pass-through from the policy rate to new-loan pricing. They also show why the aggregate WALR cannot be read as a pure measure of repricing. The mix of banks, sectors, and loans receiving credit also changes the final average.

The weighted average lending rate, or WALR, is an average lending rate in which different loans receive weights based on their importance in the measured loan book. It gives a broad picture of the interest rates banks charge, rather than focusing on one borrower or product.

For example, if a bank or sector accounts for a larger share of fresh lending, its rate has more influence on the aggregate WALR. The Bulletin’s study examines bank- and sector-level lending rates together with loan weights. This helps separate actual repricing from changes in the composition of credit.

WALR matters because it indicates how borrowing costs are moving for new loans. The article reports that fresh-loan WALR fell 93 basis points after a 125-basis-point repo-rate reduction. That makes WALR a useful, though not perfect, gauge of monetary-policy transmission to borrowers.

A policy-rate cut lowers the benchmark cost that influences financial conditions. If banks pass the cut into lending rates, households and businesses may face lower interest costs on new borrowing. That can improve affordability and reduce the cost of financing.

The likely mechanism is straightforward. Cheaper loans can encourage households to purchase goods or property and businesses to invest, expand, or manage working capital. Existing borrowers may also benefit when their loan rates are reset, depending on how their contracts are priced. The speed and size of these effects depend on pass-through.

The Bulletin reports that a 125-basis-point repo-rate reduction was followed by a 93-basis-point fall in fresh-loan WALR. This confirms meaningful transmission, but not a complete one. The article does not measure the resulting changes in borrowing or economic activity, so those broader effects remain general economic implications.

Aggregate WALR is an average built from many lending rates and loan weights. It therefore changes for two distinct reasons. Banks may reprice existing types of loans, or the share of lending may shift between banks, sectors, and borrower categories.

Suppose lending expands toward a sector with relatively high rates. Even if other loan rates stay unchanged, that sector’s larger weight can push the overall WALR upward. If credit instead shifts toward a lower-rate sector, the average can fall. The underlying mechanism is a change in the composition of credit, not necessarily a change in each price.

The Bulletin separates these effects using an index-number framework based on bank- and sector-level lending rates and loan weights. From February 2025 to March 2026, the fresh-loan WALR fell 93 basis points: 80 basis points came from interest-rate effects and 13 from composition effects. Both must be considered when judging transmission.

NBFCs are financial companies that lend and provide financial services but are not commercial banks. Unlike banks, they do not operate as full commercial-bank institutions, especially in their funding and deposit-taking structure. They remain important channels through which credit reaches households, businesses, and sectors.

The Bulletin reviews the NBFC sector through December 2025. It reports double-digit year-on-year credit growth, a moderate rise in the share of bank borrowings, and a consistent decline in non-performing-asset ratios. It also finds growing interest in artificial intelligence for customer applications, finance, governance, digital infrastructure, and data analytics.

Strong credit growth can support financing across the economy, while improving asset quality suggests better repayment performance and lower stressed-loan risk. However, the rising share of bank borrowings indicates continued concentration in NBFC funding. Because NBFCs connect banks, borrowers, and markets, their condition matters for financial stability and credit availability.

Official Gross State Value Added data are released annually and with a considerable lag. Night-time lights and Google search activity offer more frequent signals. Lights can reflect changes in activity across places, while searches can capture changing public or business interest and behaviour.

The study combines these geospatial and behavioural signals to estimate quarterly state-level economic growth. It applies the framework to Maharashtra, Karnataka, and Gujarat. The combined model improves nowcast accuracy compared with using either source alone, showing why different signals can complement one another.

This approach does not replace official GSVA data. Instead, it can provide a near real-time view while official figures are unavailable. It may help detect turning points and shocks earlier, strengthen short-term economic assessment, and supplement India’s official statistical systems. The methodology is described as scalable for broader high-frequency macroeconomic analysis.