Research and Data

1. Reserve Bank of India - Liabilities and Assets (₹ Billion) Item 2015 2016 Variation Dec. 4 Nov. 25 Dec. 2 Week Year 1 2 3 4 5 4 Loans and advances 4.1 Central Government – – – – – 4.2 State Governments 11.45 14.21 – –14.21 –11.45 2. Foreign Exchange Reserves Item As on December 2, 2016 Variation over Week End-March 2016 Year ₹ Bn. US$ Mn. ₹ Bn. US$ Mn. ₹ Bn. US$ Mn. ₹ Bn. US$ Mn. 1 2 3 4 5 6 7 8 1 Total Reserves 24,861.0 3,63,874.6 –80.1 –1,431.3 1,073.6 3,698.4 1,

(Amount in Billions of ₹) SCHEDULED COMMERCIAL BANKS (Including RRBs) ALL SCHEDULED BANKS 27-NOV-2015 11- NOV -2016 * 25-NOV-2016 * 27-NOV-2015 11-NOV -2016* 25-NOV-2016 * I LIABILITIES TO THE BKG.SYSTEM (A) a) Demand & Time deposits from bks. 1496.01 1643.53 1892.65 1554.42 1732.37 1962.96 ** b) Borrowings from banks 533.93 640.36 506.5 535.52 641.66 507.22 c) Other demand & time liabilities 63.76 42.15 40.49 63.76 42.15 40.49 II LIABILITIES TO OTHERS (A) a)

The Reserve Bank of India has today released data on Reserve Money for the week ended December 02, 2016. Ajit Prasad Assistant Adviser Press Release: 2016-2017/1445

The Reserve Bank of India today released on its website the results of the following Surveys: Consumer Confidence Survey – November 2016 Inflation Expectations Survey of Households – November 2016 (Round 45B) Survey of Professional Forecasters on Macroeconomic Indicators – November 2016 (Round 43) The Survey results are based on the feedback received from the respondents to the Surveys and do not necessarily reflect the views of the Reserve Bank of India. Ajit Prasad

1. Reserve Bank of India - Liabilities and Assets (₹ Billion) Item 2015 2016 Variation Nov. 27 Nov. 18 Nov. 25 Week Year 1 2 3 4 5 4 Loans and advances 4.1 Central Government – – – – – 4.2 State Governments 2.57 31.09 14.21 –16.88 11.64 2. Foreign Exchange Reserves Item As on November 25, 2016 Variation over Week End-March 2016 Year ₹ Bn. US$ Mn. ₹ Bn. US$ Mn. ₹ Bn. US$ Mn. ₹ Bn. US$ Mn. 1 2 3 4 5 6 7 8 1 Total Reserves 24,941.1 3,65,305.9 130.3 –193.8 1,153.7 5,129.7

Data on sectoral deployment of bank credit collected on a monthly basis from select 46 scheduled commercial banks, accounting for about 95 per cent of the total non-food credit deployed by all scheduled commercial banks, for the month of October 2016 are set out in Statements I and II. These data are also available in the Real-Time Handbook of Statistics on the Indian Economy (http://dbie.rbi.org.in). Highlights of the sectoral deployment of bank credit are given belo

The Reserve Bank of India has today released data on Reserve Money for the week ended November 25, 2016. Anirudha D. Jadhav Assistant Manager Press Release: 2016-2017/1374

The Reserve Bank of India released today Quarterly Statistics on Deposits and Credit of Scheduled Commercial Banks (SCBs) as on September 30, 2016. The data for this quarterly survey has been collected from all SCBs including Regional Rural Banks (RRBs). The data include types of deposits and total credit according to states, districts, centres, population groups and bank groups. The data are available on https://dbie.rbi.org.in and can be directly accessed through th

The Reserve Bank of India today placed on its website a Working Paper titled “Quarterly Projection Model for India: Key Elements and Properties” by Jaromir Benes, Kevin Clinton, Asish Thomas George, Pranav Gupta, Joice John, Ondra Kamenik, Douglas Laxton, Pratik Mitra, G.V. Nadhanael, Rafael Portillo, Hou Wang and Fan Zhang under the Reserve Bank of India Working Paper Series. Reserve Bank of India has formally adopted a flexible inflation targeting (FIT) framework wi

The Reserve Bank of India today placed on its website a Working Paper titled “Inflation-Forecast Targeting for India: An Outline of The Analytical Framework” by Jaromir Benes, Kevin Clinton, Asish Thomas George, Joice John, Ondra Kamenik, Douglas Laxton, Pratik Mitra, G.V. Nadhanael, Hou Wang and Fan Zhang under the Reserve Bank of India Working Paper Series. The paper first describes the move towards the flexible inflation targeting (FIT) regime for monetary policy b