RBI Plans Monthly Balance of Payments Data Release
The Reserve Bank of India (RBI) is planning to release Balance of Payments (BoP) data every month, a significant shift from the current quarterly schedule. Deputy Governor Poonam Gupta announced the move, stating it aims to provide “better and more data” to stakeholders.
Key Takeaways
- RBI to transition BoP data releases from quarterly to monthly.
- Monthly data will be more aggregated, with a target lag of ~40 days.
- Aligns with IMF’s BPM7 framework for global comparability.
- Expands data scope to include non-bank financial institutions.
Faster Data for Better Decisions
Currently, BoP data is shared quarterly, with some datasets historically published with up to 90 days lag. The RBI has already reduced this delay to 60 days and is working to shorten it further. The new monthly BoP statistics will target a lag of around 40 days.
Deputy Governor Gupta, speaking at a Ministry of Statistics and Programme Implementation event, emphasized the central bank’s commitment to improving statistical timeliness. “We are working on the monthly (data release)… the rationale is to give better and more data,” she said.
Why Monthly BoP Matters
Balance of Payments tracks India’s economic transactions with the rest of the world, including trade, capital flows, and foreign exchange reserves. In today’s volatile global environment, more frequent updates will help policymakers, businesses, and investors respond more quickly to emerging risks and opportunities.
The RBI is expediting reporting from banks and corporations while streamlining internal processes to achieve this goal. The monthly data will follow the IMF’s updated BPM7 framework, ensuring international comparability and credibility.
Expanding Data Coverage
Gupta highlighted that the RBI’s statistical database has expanded to nearly 20,000 data series across the real economy, financial markets, and public finances. This reflects India’s growing economic complexity and the need for granular, real-time information.
The central bank is evolving from being a data custodian to an active architect of new series that capture evolving financial intermediation and macroeconomic trends. While earlier data focused mainly on bank credit, new series now incorporate flows from non-bank intermediaries like NBFCs, primary dealers, and other financial institutions.
“The RBI aims to present a more comprehensive picture of how credit is reaching the economy,” Gupta explained, noting the growing importance of non-bank channels in the financial system.
Forecasting Approach
On RBI’s forecasting practices, Gupta stated: “While minimising the forecast errors is important, there is no systematic bias in the forecast… As far as the growth is concerned, again we use a variety of approaches and models.”
She explained that policy formulation requires forward-looking expectations of inflation and growth. The central bank employs structural models, time series approaches, and professional forecaster inputs to minimize errors and avoid systematic bias.
