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New Monetary and Liquidity Aggregates

Since the 1980s, financial liberalisation has spawned a wide proliferation of financial innovations, and has caused a progressive blurring of the boundaries between banks and non-banks in the process of financial intermediation. Portfolio choices have expanded significantly on account of the enhanced substitutability of financial assets; moreover, financial deregulation has made portfolios sensitive to movements in financial asset prices. This has been reflected in a downgrading of the conventional monetary aggregates as instruments or intermediate variables for monetary policy, and even as indicators of underlying monetary developments. Several countries have undertaken the design and monitoring of relatively broad measures in order to obtain more comprehensive information on financial conditions and aggregate demand. These measures generally include financial assets that are considered to be good substitutes for money in a functional sense, or at least, are related to underlying conditions of aggregate demand.

In India, policies for financial liberalisation and restructuring undertaken since the late 1980s have led to a gradual withdrawal of external constraints on the financial system, the freeing of interest rates and other financial prices as well as improved access to a greater variety of financial assets and liabilities, both internal and external. There has also occurred a fading of the distinction between various participants in the financial system i.e., commercial and cooperative banks, development financial institutions and non-banking financial companies. In recent years, the importance of financial institutions other than banks in financial intermediation has increased considerably. These developments have affected the efficacy of the existing monetary aggregates in explaining the impact of monetary conditions on aggregate spending and more generally, in providing insights into the state of liquidity in the economy.

Against this background, the Working Group on Money Supply:Analytics and Methodology of Compilation (Chairman: Dr. Y.V. Reddy) (RBI 1998) sought to differentiate monetary aggregates from other financial aggregates. As regards monetary aggregates, the Working Group recommended their compilation on a residency basis i.e., excluding non-resident repatriable foreign currency fixed liabilities {Foreign Currency Non-Resident (Banks) [FCNRB] and Resurgent India Bonds [RIBs] type deposits, at present}. Furthermore, it was of the view that it is necessary to take explicit cognisance of the importance of non-depository financial corporations in a set of liquidity aggregates, incorporating but distinct from, new measures of monetary aggregates proposed by it. Drawing from cross-country experience and the provisions of the benchmark Manual on Monetary and Financial Statistics (MFS) of the International Monetary Fund (IMF), it recommended the compilation and monitoring of three liquidity aggregates i.e and ., L1, L2 L3, consistent with two new measures of monetary aggregates and a comprehensive financial sector survey.

This article constitutes a major step forward in implementing the recommendations of the Working Group. It draws heavily upon the ground work laid by the interdepartmental Core Group (Convenor: Dr. R.Kannan) which was set up to oversee the implementation of the Working Group's recommendations. Series on the new monetary aggregates and the liquidity aggregates from April 1993 to September 2000 are presented with a view to establishing a fortnightly/ monthly/quarterly calendar for publishing these aggregates in the future. It is expected that as experience with the reporting environment is accumulated, the information content and explanatory power of these aggregates would improve on an on-going basis.

New Monetary Aggregates

Given the new ground being covered in terms of conceptual and information issues, tentative data on new monetary aggregates i.e were presented for the first ., NM2 and NM3 time in the October 1999 issue of this Bulletin, along with a note on conceptual and definitional issues. Their release was, however, suspended from January 2000 due to data discrepancies. This article restores the publication of the new monetary aggregates. On-going refinements in data collection and processing have enabled updating of the series up to September 2000.

Credit Aggregates

The principal refinements under the new monetary aggregates relate to a more comprehensive and disaggregated survey of the sources of money supply i.e., credit aggregates. As recommended by the Working Group, credit to the commercial sector by the banking system now includes banks' investments in non-SLR securities and net lending to primary dealers (PDs) besides the banking system's conventional credit to the commercial sector and investment in other approved securities. This makes it possible for a detailed analysis of the behaviour of bank credit to the commercial sector, including flows in terms of investments in commercial paper, units of the Unit Trust of India, shares/debentures/ bonds of the non-bank sector including public financial institutions, revaluation thereof, and subscription to primary issues and private placements. Forthcoming analyses of the commercial bank survey would contain the disaggregation of scheduled commercial banks' credit to the commercial sector in the representative format presented in Exhibit I.

Exhibit I: Scheduled Commercial Banks' Credit to the Commercial Sector

 
 

(Rs. crore)


 
Instrument

Outstanding as on


 
1

2


S.I.2 Credit to the Commercial Sector (1+2+3+4+5)  
S.I.2.1 Bank Credit  
S.I.2.1.1 Food Credit  
S.I.2.1.2 Non-Food Credit (1+2)  
S.I.2.1.2.1 Credit in India in Rupees  
S.I.2.1.2.2 Credit in India in Foreign Currency  
S.I.2.2. Net Credit to Primary Dealers  
S.I.2.3 Investments in Other Approved Securities  
S.I.2.4 Other Investments (1+2+3+4+5)  
S.I.2.4.1 Commercial Paper  
S.I.2.4.2 Units of Unit Trust of India and Mutual Funds  
S.I.2.4.3 Shares issued by (1+2+3)  
S.I.2.4.3.1 Public Sector Undertakings  
S.I.2.4.3.2 Private Corporate Sector  
S.I.2.4.3.3 Public Financial Institutions  
S.I.2.4.4 Bonds/debentures issued by (1+2+3)  
S.I.2.4.4.1 Public Sector Undertakings  
S.I.2.4.4.2 Private Corporate Sector  
S.I.2.4.4.3 Public Financial Institutions  
S.I.2.4.5
Other Investments
 
Memo Item: Flows
 
1. Subscriptions to shares/debentures/bonds in the Primary markets  
2. Subscription through private placements  
3. Revaluation
 

As regards credit to Government from the banking sector, the most important change in the recent period has been the growing market orientation of monetary policy and the management of the public debt issue. This has entailed day-to-day management of liquidity conditions and interest rates involving (i) primary operations in the form of loans and advances, subscription to new issues including devolvement and private placements, and the management of government deposit balances, and (ii) secondary operations in the form of open market operations and repos. The high-powered monetisation of the fiscal deficit is measured in (i) whereas (ii) represents off-setting operations conducted by the Reserve Bank to neutralize/modulate the monetary impact of (i). Accordingly, the variations in the Reserve Bank's credit to the Government does not provide the true picture of the monetisation of the fiscal deficit, since open market operations are essentially changes in the ownership of the underlying securities without any effect on the primary financing of the fiscal deficit. Thus, for instance, a reversal of a repo transaction results in an increase in the Reserve Bank's ownership of government securities and therefore, in the Reserve Bank's credit to the Central Government without any increase whatsoever in the money financing of the fiscal deficit. Therefore, forthcoming analyses of the credit to government will incorporate a disaggregated presentation of the variations in the Reserve Bank's credit to the Central Government in the format given in Exhibit II.

Exhibit II: Net Reserve Bank Credit to the Central Government

 
 

(Rs. crore)


 
Instrument

Outstanding as on


 
1

2


S.I.1.1 Net RBI credit to the Centre (1+2+3+4-5)  
S.I.1.1.1 Loans and Advances*  
S.I.1.1.2 Investments in Treasury Bills  
S.I.1.1.2.1 Net Subscriptions to primary issues  
S.I.1.1.2.2 Net Open Market Sales  
S.I.1.1.3. Investments in dated Government Securities  
S.I.1.1.3.2 Central Government Securities  
S.I.1.1.3.2.1 Net Subscriptions to primary issues  
S.I.1.1.3.2.2 Net Open Market Sales  
S.I.1.1.4 Rupee Coins  
S.I.1.1.5
Deposits of the Central Government
 
Memo Item: Flows
 
1. Net Central Government Borrowing  
2. Net Repos (1-2)  
2.1 Repos  
2.2 Reverse Repos  
3. Net Primary Financing of the Government Fiscal Deficit  
[d{S.I.1.1.1 - S.I.1.1.5} + S.I.1.1.2.1 + S.I.1.1.3.2.1]
 
* Adjusted for Government surplus invested in dated securities.  

Net foreign assets of the banking sector i.e., net claims of the banking system to the foreign sector have hitherto consisted of gross foreign currency assets of the banking system and gross foreign assets of the Reserve Bank net of the gross foreign liabilities of the Reserve Bank (essentially liabilities to the IMF adjusted for the minimum quota subscription in rupees). This is an anomalous situation in which the net foreign assets of the banking system are overstated since they are not adjusted for foreign liabilities. In line with the recommendation of the Working Group, net foreign currency assets of the banking system now comprise their holdings of foreign currency assets net of (i) their holdings of non-resident repatriable foreign currency fixed deposits which is defined to include FCNR(B) deposits at present, and (ii) overseas foreign currency borrowings.

Net non-monetary liabilities of the banking system, which has hitherto been calculated as the residual derived from balancing the components of money supply against the identified sources thereof, is now disaggregated into an identified capital account, comprising capital and reserves, and an unidentified residual i.e., other items (net) which is a balancing entry. The size of the entry under other items (net) provides an indication of the exhaustiveness of compilation. In the monetary aggregates presented in this article, other items (net) works out to barely five per cent of the money stock, which is reasonable by international standards.

Liquidity Aggregates

For the first time, this article presents a monthly series on the liquidity aggregates recommended by the Working Group over the period April 1993 to September 2000. It needs to be noted that the movements in the liquidity aggregates have to be evaluated in conjunction with those of the new monetary aggregates, presented separately in this issue of the Bulletin, for an appropriate assessment of the liquidity conditions in the Indian economy. In terms of the norm of progressivity, the liquidity aggregates represent the extension of the monetary aggregates to encompass financial claims which compete with monetary claims in measuring overall liquidity, without the special characteristics conventionally attributable to monetary aggregates. The liquidity aggregates are classified into three categories. and would henceforth be L1 L2 published as a monthly series in this Bulletin, would be published on a quarterly while L3 is set basis. The definition of L1, L2 and L3 out below.

Conceptual and Definitional Issues

Consistent with the UN's System of National Accounts (UN, 1993) and the IMF's MFS, the domestic economy can be divided into four sectors as proposed by the Working Group i.e., households, non-financial corporations, general government and financial corporations. For the purpose of the compilation of monetary/liquidity aggregates, the financial corporations sector can be subdivided into (i) depository corporations, comprising the Reserve Bank and the banking system, which have the 'franchise' to issue monetary liabilities, and (ii) other financial corporations, comprising the development (term-lending and refinancing) financial institutions, insurance corporations, mutual funds and non-banking financial companies accepting deposits from the public, which have deposit liabilities or close substitutes that compete with liabilities of the depository corporations in the process of financial intermediation. While the liabilities of (i) are considered for the compilation of monetary aggregates, liabilities of (ii) are considered along with those of (i) for measures of liquidity (Tables I and II and Current Statistics Tables 11A, 11B and 11C).

L1 is the sum of the broadest monetary aggregate NM3 and all postal deposits. Postal deposits include savings deposits, time deposits and recurring deposits with the Post Office Savings Banks. L1 excludes deposits under the National Savings Scheme 1992, Post Office Monthly Income Schemes and National Savings Certificates. Postal deposits are excluded from the monetary aggregates since post offices form part of general government in the national accounts and moreover, postal deposits have lost their relevance with the spread of banking. They are, however, included under the liquidity aggregates due to their chequability.

L2 is the sum of L1 and term deposits, term borrowings and certificates of deposit of financial institutions (FIs) (term-lending and refinancing institutions). Term deposits include public and corporate deposits with financial institutions as well as home loan accounts. They exclude priority sector shortfalls deposited with the Small Industrial Development Bank of India (SIDBI) and the National Bank for Agriculture and Rural Development (NABARD) including those under the Rural Infrastructure Development Fund (RIDF) and other special deposits which do not compete with bank deposits. Borrowings by financial institutions are generally in the maturity range of 3-6 months, while the maturity spread of term deposits and certificates of deposits is 1 to 5 years and 1 to 3 years, respectively.

L3 is the sum of L2 and public deposits with non-bank financial companies (NBFCs), and is the broadest measure of liquidity. Deposits with non-bank financial companies are tentative estimates based on information reported by such companies with a public deposit base of Rs.20 crore and above and accounting for about 90 per cent of total public deposits held with non-bank financial companies. It is expected that the coverage of these deposits under L3 will improve with time and experience.

The relationship between the monetary and liquidity aggregates is summarised in Exhibit III.


Exhibit III: Relationship between Liquidity and Monetary Aggregates

NM3 = Currency with the Public + Demand Deposits with Banks + Time Deposits with Banks - FCNR(B) and RIB deposits + "Other" Deposits with RBI + Other borrowings by Banks

L1 = NM3 + Post Office Deposits

L2 = L1 + Term Deposits with FIs + Term Borrowings by FIs + CDs issued by FIs

L3 = L2+ Public Deposits with NBFCs


It may be noted that the liquidity aggregates, unlike the monetary aggregates, are compiled by the principle of aggregation on a gross basis i.e., by summing up information reported for all instruments within a group. Transactions and claims between members of a group or between groups are not netted out because of lack of information mainly on re-intermediation i.e., the flow of funds/instruments from other financial corporations to the depository corporations. To this extent, the liquidity aggregates may be marginally overstated vis-à-vis the monetary aggregates. Nevertheless, many countries of the world are now monitoring broader measures of money and liquidity. The USA, for instance, introduced a liquidity aggregate in 1980; the experience has been that the liquidity aggregate has tended to grow more rapidly than the monetary aggregate, reflecting an increasing proportion of financial instruments issued outside the depository corporations. In a cross-country survey, the Working Group found that Japan, Italy and Spain have introduced liquidity aggregates, while other countries have chosen to broaden their monetary aggregates. With improvements in data coverage, it is expected that the broader measures of liquidity will more appropriately relate to overall economic and market activity in India.

TABLE I: LIQUIDITY AGGREGATES: OUTSTANDINGS, VARIATIONS AND SHARES


Month

Outstandings (Rs. crore)

Year-on-Year change (Per cent)

Shares of Components in L2 (Per cent)


 

NM3

L1

Liabilities

L2

L3

NM3

L1

L2

NM3

Postal

Liabilites

     

of Financial

           

Deposits

of Financial

     

Institutions

             

Institutions


1

2

3

4

5

6

7

8

9

10

11

12


1993-94                      
April

3,79,014

3,89,867

1,640

3,91,507

..

..

..

..

96.8

2.8

0.4

May

3,81,713

3,92,526

1,893

3,94,419

..

..

..

..

96.8

2.7

0.5

June

3,82,201

3,93,130

2,419

3,95,549

..

..

..

..

96.6

2.8

0.6

July

3,84,999

3,96,086

2,399

3,98,485

..

..

..

..

96.6

2.8

0.6

August

3,87,656

3,98,818

2,618

4,01,436

..

..

..

..

96.6

2.8

0.7

September

3,91,284

4,02,532

2,692

4,05,224

..

..

..

..

96.6

2.8

0.7

October

3,95,817

4,07,160

2,799

4,09,959

..

..

..

..

96.6

2.8

0.7

November

4,01,772

4,13,321

2,848

4,16,169

..

..

..

..

96.5

2.8

0.7

December

4,06,978

4,18,714

2,746

4,21,460

..

..

..

..

96.6

2.8

0.7

January

4,14,743

4,26,511

2,889

4,29,400

..

..

..

..

96.6

2.7

0.7

February

4,21,217

4,33,000

2,879

4,35,879

..

..

..

..

96.6

2.7

0.7

March

4,27,617

4,39,864

2,964

4,42,828

..

..

..

..

96.6

2.8

0.7

                       
1994-95                      
April

4,42,976

4,55,200

2,843

4,58,043

..

16.9

16.8

17.0

96.7

2.7

0.6

May

4,47,389

4,59,704

2,943

4,62,647

..

17.2

17.1

17.3

96.7

2.7

0.6

June

4,49,476

4,61,930

2,736

4,64,666

..

17.6

17.5

17.5

96.7

2.7

0.6

July

4,55,578

4,68,253

2,949

4,71,202

..

18.3

18.2

18.2

96.7

2.7

0.6

August

4,55,912

4,68,789

3,516

4,72,305

..

17.6

17.5

17.7

96.5

2.7

0.7

September

4,68,301

4,81,272

3,484

4,84,756

..

19.7

19.6

19.6

96.6

2.7

0.7

October

4,76,941

4,90,020

3,536

4,93,556

..

20.5

20.4

20.4

96.6

2.6

0.7

November

4,80,354

4,93,623

3,583

4,97,206

..

19.6

19.4

19.5

96.6

2.7

0.7

December

4,83,421

4,96,908

4,095

5,01,003

..

18.8

18.7

18.9

96.5

2.7

0.8

January

4,85,753

4,99,298

3,878

5,03,176

..

17.1

17.1

17.2

96.5

2.7

0.8

February

4,91,536

5,05,170

3,926

5,09,096

..

16.7

16.7

16.8

96.6

2.7

0.8

March

5,18,149

5,32,497

4,070

5,36,567

..

21.2

21.1

21.2

96.6

2.7

0.8

                       
1995-96                      
April

5,14,951

5,29,175

3,867

5,33,042

..

16.2

16.3

16.4

96.6

2.7

0.7

May

5,19,745

5,34,032

3,519

5,37,551

..

16.2

16.2

16.2

96.7

2.7

0.7

June

5,20,485

5,34,974

3,815

5,38,789

..

15.8

15.8

16.0

96.6

2.7

0.7

July

5,21,956

5,36,598

3,947

5,40,545

..

14.6

14.6

14.7

96.6

2.7

0.7

August

5,26,199

5,40,991

4,468

5,45,459

..

15.4

15.4

15.5

96.5

2.7

0.8

September

5,37,091

5,52,028

5,354

5,57,382

..

14.7

14.7

15.0

96.4

2.7

1.0

October

5,43,254

5,58,373

5,347

5,63,720

..

13.9

13.9

14.2

96.4

2.7

0.9

November

5,42,912

5,58,156

4,804

5,62,960

..

13.0

13.1

13.2

96.4

2.7

0.9

December

5,46,442

5,61,920

4,708

5,66,628

..

13.0

13.1

13.1

96.4

2.7

0.8

January

5,53,929

5,69,454

4,763

5,74,217

..

14.0

14.1

14.1

96.5

2.7

0.8

February

5,58,448

5,73,986

4,877

5,78,863

..

13.6

13.6

13.7

96.5

2.7

0.8

March

5,80,129

5,96,572

5,166

6,01,738

..

12.0

12.0

12.1

96.4

2.7

0.9

                       
1996-97                      
April

5,90,046

6,06,179

5,354

6,11,533

..

14.6

14.6

14.7

96.5

2.6

0.9

May

5,91,147

6,07,405

5,625

6,13,030

..

13.7

13.7

14.0

96.4

2.7

0.9

June

5,98,107

6,14,486

5,927

6,20,413

..

14.9

14.9

15.1

96.4

2.6

1.0

July

6,00,582

6,17,179

6,165

6,23,344

..

15.1

15.0

15.3

96.3

2.7

1.0

August

6,03,151

6,19,889

5,456

6,25,345

..

14.6

14.6

14.6

96.5

2.7

0.9

September

6,15,788

6,32,639

5,312

6,37,951

..

14.7

14.6

14.5

96.5

2.6

0.8

October

6,18,182

6,34,969

6,098

6,41,067

..

13.8

13.7

13.7

96.4

2.6

1.0

November

6,25,287

6,42,085

5,964

6,48,049

..

15.2

15.0

15.1

96.5

2.6

0.9

December

6,29,679

6,46,584

5,729

6,52,313

..

15.2

15.1

15.1

96.5

2.6

0.9

January

6,45,110

6,61,903

5,693

6,67,596

..

16.5

16.2

16.3

96.6

2.5

0.9

February 6,51,012 6,67,809 5,322 6,73,131 .. 16.6 16.3 16.3 96.7 2.5 0.8
March 6,70,043 6,87,522 5,350 6,92,872 .. 15.5 15.2 15.1 96.7 2.5 0.8
                       
1997-98                      
April

6,81,658

6,99,105

4,917

7,04,022

..

15.5

15.3

15.1

96.8

2.5

0.7

May

6,88,600

7,06,132

4,689

7,10,820

..

16.5

16.3

16.0

96.9

2.5

0.7

June

6,96,519

7,14,197

5,189

7,19,386

..

16.5

16.2

16.0

96.8

2.5

0.7

July

6,98,028

7,15,888

5,137

7,21,025

..

16.2

16.0

15.7

96.8

2.5

0.7

August

7,00,602

7,18,867

5,861

7,24,728

..

16.2

16.0

15.9

96.7

2.5

0.8

September

7,14,941

7,33,394

6,521

7,39,915

..

16.1

15.9

16.0

96.6

2.5

0.9

October

7,24,551

7,43,071

6,518

7,49,589

..

17.2

17.0

16.9

96.7

2.5

0.9

November

7,34,888

7,53,628

6,528

7,60,156

..

17.5

17.4

17.3

96.7

2.5

0.9

December

7,39,300

7,58,393

6,415

7,64,809

..

17.4

17.3

17.2

96.7

2.5

0.8

January

7,48,017

7,67,202

6,049

7,73,250

..

16.0

15.9

15.8

96.7

2.5

0.8

February

7,61,210

7,80,721

5,944

7,86,664

..

16.9

16.9

16.9

96.8

2.5

0.8

March

7,89,166

8,09,892

6,066

8,15,957

..

17.8

17.8

17.8

96.7

2.5

0.7

                       
1998-99                      
April

8,05,020

8,24,905

6,290

8,31,195

..

18.1

18.0

18.1

96.9

2.4

0.8

May

8,10,151

8,30,138

5,999

8,36,137

..

17.7

17.6

17.6

96.9

2.4

0.7

June

8,21,574

8,42,017

5,133

8,47,150

..

18.0

17.9

17.8

97.0

2.4

0.6

July

8,24,371

8,45,022

5,096

8,50,118

..

18.1

18.0

17.9

97.0

2.4

0.6

August

8,29,520

8,50,426

4,577

8,55,003

..

18.4

18.3

18.0

97.0

2.4

0.5

September

8,44,701

8,65,716

4,696

8,70,412

8,90,976

18.1

18.0

17.6

97.0

2.4

0.5

October

8,57,843

8,79,057

4,283

8,83,340

 

18.4

18.3

17.8

97.1

2.4

0.5

November

8,65,178

8,86,682

4,536

8,91,218

 

17.7

17.7

17.2

97.1

2.4

0.5

December

8,73,523

8,95,390

4,834

9,00,224

9,20,636

18.2

18.1

17.7

97.0

2.4

0.5

January

8,83,750

9,05,523

3,555

9,09,078

 

18.1

18.0

17.6

97.2

2.4

0.4

February

8,90,717

9,12,521

3,746

9,16,267

 

17.0

16.9

16.5

97.2

2.4

0.4

March

9,30,993

9,54,363

3,378

9,57,741

9,77,334

18.0

17.8

17.4

97.2

2.4

0.4

                       
1999-2000*                      
April

9,44,754

9,67,333

7,471

9,74,804

 

17.4

17.3

17.3

96.9

2.3

0.8

May

9,54,246

9,77,143

6,907

9,84,050

 

17.8

17.7

17.7

97.0

2.3

0.7

June

9,59,655

9,82,928

7,075

9,90,003

10,09,307

16.8

16.7

16.9

96.9

2.4

0.7

July

9,75,221

9,98,859

7,399

10,06,258

 

18.3

18.2

18.4

96.9

2.3

0.7

August

9,84,896

10,08,892

8,285

10,17,177

 

18.7

18.6

19.0

96.8

2.4

0.8

September

10,00,853

10,25,250

8,631

10,33,881

10,52,564

18.5

18.4

18.8

96.8

2.4

0.8

October

10,12,851

10,37,636

8,388

10,46,023

 

18.1

18.0

18.4

96.8

2.4

0.8

November

10,20,223

10,45,396

9,336

10,54,732

 

17.9

17.9

18.3

96.7

2.4

0.9

December

10,43,181

10,68,966

9,123

10,78,089

10,97,040

19.4

19.4

19.8

96.8

2.4

0.8

January

10,43,479

10,69,417

9,030

10,78,447

 

18.1

18.1

18.6

96.8

2.4

0.8

February

10,59,858

10,86,098

9,033

10,95,131

 

19.0

19.0

19.5

96.8

2.4

0.8

March

10,68,791

10,96,347

9,395

11,05,742

11,24,069

14.8

14.9

15.5

96.7

2.5

0.8

                       
2000-01*                      
April

10,96,659

11,24,215

9,164

11,33,379

 

16.1

16.2

16.3

96.8

2.4

0.8

May

11,05,049

11,32,605

11,341

11,43,946

 

15.8

15.9

16.2

96.6

2.4

1.0

June

11,17,466

11,45,022

11,925

11,56,947

11,74,812

16.4

16.5

16.9

96.6

2.4

1.0

July

11,17,749

11,45,305

12,402

11,57,707

 

14.6

14.7

15.1

96.5

2.4

1.1

August

11,24,713

11,52,269

11,710

11,63,979

 

14.2

14.2

14.4

96.6

2.4

1.0

September

11,36,222

11,63,778

11,710

11,75,488

11,93,354

13.5

13.5

13.7

96.7

2.3

1.0


* See footnote 4 of Table II for details. .. Not Available

TABLE II: LIQUIDITY AGGREGATES (OUTSTANDING AMOUNTS)

(Rs.crore)


       

Liabilities of Financial Institutions


 

Public

 
Month

NM3

Postal

L1

Term Money

CDs

Term

Total

L2

Deposits

L3

   

Deposits

 

Borrowings

 

Deposits

   

with

 
                 

NBFCs

 

1

2

3

4=(2+3)

5

6

7

8=(5+6+7)

9=(4+8)

10

11=(9+10)


1993-94                    
April

3,79,014

10,853

3,89,867

365

1,263

12

1,640

3,91,507

..

..

May

3,81,713

10,813

3,92,526

365

1,515

13

1,893

3,94,419

..

..

June

3,82,201

10,929

3,93,130

365

2,040

14

2,419

3,95,549

..

..

July

3,84,999

11,087

3,96,086

365

2,019

15

2,399

3,98,485

..

..

August

3,87,656

11,162

3,98,818

365

2,234

19

2,618

4,01,436

..

..

September

3,91,284

11,248

4,02,532

365

2,296

31

2,692

4,05,224

..

..

October

3,95,817

11,343

4,07,160

365

2,361

73

2,799

4,09,959

..

..

November

4,01,772

11,549

4,13,321

365

2,366

117

2,848

4,16,169

..

..

December

4,06,978

11,736

4,18,714

365

2,215

166

2,746

4,21,460

..

..

January

4,14,743

11,768

4,26,511

465

2,222

202

2,889

4,29,400

..

..

February

4,21,217

11,783

4,33,000

490

2,106

283

2,879

4,35,879

..

..

March

4,27,617

12,247

4,39,864

510

2,120

334

2,964

4,42,828

..

..

                     
1994-95                    
April

4,42,976

12,224

4,55,200

272

2,230

341

2,843

4,58,043

..

..

May

4,47,389

12,315

4,59,704

422

2,148

373

2,943

4,62,647

..

..

June

4,49,476

12,454

4,61,930

327

2,022

387

2,736

4,64,666

..

..

July

4,55,578

12,675

4,68,253

424

2,094

431

2,949

4,71,202

..

..

August

4,55,912

12,877

4,68,789

424

2,607

485

3,516

4,72,305

..

..

September

4,68,301

12,971

4,81,272

313

2,658

513

3,484

4,84,756

..

..

October

4,76,941

13,079

4,90,020

412

2,604

520

3,536

4,93,556

..

..

November

4,80,354

13,269

4,93,623

413

2,653

517

3,583

4,97,206

..

..

December

4,83,421

13,487

4,96,908

413

3,135

547

4,095

5,01,003

..

..

January

4,85,753

13,545

4,99,298

285

3,039

554

3,878

5,03,176

..

..

February

4,91,536

13,634

5,05,170

412

2,959

555

3,926

5,09,096

..

..

March

5,18,149

14,348

5,32,497

549

2,964

557

4,070

5,36,567

..

..

                     
1995-96                    
April

5,14,951

14,224

5,29,175

510

2,798

559

3,867

5,33,042

..

..

May

5,19,745

14,287

5,34,032

310

2,649

560

3,519

5,37,551

..

..

June

5,20,485

14,489

5,34,974

400

2,853

562

3,815

5,38,789

..

..

July

5,21,956

14,642

5,36,598

469

2,916

562

3,947

5,40,545

..

..

August

5,26,199

14,792

5,40,991

535

3,369

564

4,468

5,45,459

..

..

September

5,37,091

14,937

5,52,028

561

4,228

565

5,354

5,57,382

..

..

October

5,43,254

15,119

5,58,373

496

4,286

565

5,347

5,63,720

..

..

November

5,42,912

15,244

5,58,156

317

3,922

565

4,804

5,62,960

..

..

December

5,46,442

15,478

5,61,920

303

3,839

566

4,708

5,66,628

..

..

January

5,53,929

15,525

5,69,454

223

3,971

569

4,763

5,74,217

..

..

February

5,58,448

15,538

5,73,986

277

4,030

570

4,877

5,78,863

..

..

March

5,80,129

16,443

5,96,572

184

4,411

571

5,166

6,01,738

..

..

                     
1996-97                    
April

5,90,046

16,133

6,06,179

215

4,567

572

5,354

6,11,533

..

..

May

5,91,147

16,258

6,07,405

215

4,864

546

5,625

6,13,030

..

..

June

5,98,107

16,379

6,14,486

393

4,988

546

5,927

6,20,413

..

..

July

6,00,582

16,597

6,17,179

607

5,013

545

6,165

6,23,344

..

..

August

6,03,151

16,738

6,19,889

1,000

3,911

545

5,456

6,25,345

..

..

September

6,15,788

16,851

6,32,639

836

3,939

537

5,312

6,37,951

..

..

October

6,18,182

16,787

6,34,969

863

4,728

507

6,098

6,41,067

..

..

November

6,25,287

16,798

6,42,085

763

4,713

488

5,964

6,48,049

..

..

December

6,29,679

16,905

6,46,584

532

4,750

447

5,729

6,52,313

..

..

January

6,45,110

16,793

6,61,903

579

4,668

446

5,693

6,67,596

..

..

February

6,51,012

16,797

6,67,809

535

4,348

439

5,322

6,73,131

..

..

March

6,70,043

17,479

6,87,522

645

4,299

406

5,350

6,92,872

..

..

                     
1997-98                    
April

6,81,658

17,447

6,99,105

560

3,955

402

4,917

7,04,022

..

..

May

6,88,600

17,532

7,06,132

545

3,757

386

4,689

7,10,820

..

..

June

6,96,519

17,678

7,14,197

651

4,166

371

5,189

7,19,386

..

..

July

6,98,028

17,860

7,15,888

451

4,281

405

5,137

7,21,025

..

..

August

7,00,602

18,265

7,18,867

264

4,871

726

5,861

7,24,728

..

..

September

7,14,941

18,453

7,33,394

757

5,003

761

6,521

7,39,915

..

..

October

7,24,551

18,520

7,43,071

778

4,783

957

6,518

7,49,589

..

..

November

7,34,888

18,740

7,53,628

802

4,824

902

6,528

7,60,156

..

..

December

7,39,300

19,093

7,58,393

369

5,130

917

6,415

7,64,809

..

..

January

7,48,017

19,185

7,67,202

276

4,864

909

6,049

7,73,250

..

..

February

7,61,210

19,511

7,80,721

207

4,830

908

5,944

7,86,664

..

..

March

7,89,166

20,726

8,09,892

273

4,885

908

6,066

8,15,957

..

..

                     
1998-99                    
April

8,05,020

19,885

8,24,905

494

4,889

908

6,290

8,31,195

..

..

May

8,10,151

19,987

8,30,138

337

4,754

908

5,999

8,36,137

..

..

June

8,21,574

20,443

8,42,017

387

3,838

909

5,133

8,47,150

..

..

July

8,24,371

20,651

8,45,022

751

3,519

826

5,096

8,50,118

..

..

August

8,29,520

20,906

8,50,426

851

3,127

599

4,577

8,55,003

..

..

September

8,44,701

21,015

8,65,716

1,459

2,654

584

4,696

8,70,412

20,563

8,90,976

October

8,57,843

21,214

8,79,057

1,705

2,136

441

4,283

8,83,340

   
November

8,65,178

21,504

8,86,682

1,710

2,108

717

4,536

8,91,218

   
December

8,73,523

21,867

8,95,390

1,888

2,265

681

4,834

9,00,224

20,412

9,20,636

January

8,83,750

21,773

9,05,523

971

1,923

661

3,555

9,09,078

   
February

8,90,717

21,804

9,12,521

1,178

1,923

645

3,746

9,16,267

   
March

9,30,993

23,370

9,54,363

943

1,863

573

3,378

9,57,741

19,592

9,77,334

                     
1999-2000*                    
April

9,44,754

22,579

9,67,333

957

1,803

4,711

7,471

9,74,804

   
May

9,54,246

22,897

9,77,143

528

1,428

4,951

6,907

9,84,050

   
June

9,59,655

23,273

9,82,928

637

1,427

5,011

7,075

9,90,003

19,304

10,09,307

July

9,75,221

23,638

9,98,859

533

1,517

5,349

7,399

10,06,258

   
August

9,84,896

23,996

10,08,892

557

1,577

6,151

8,285

10,17,177

   
September

10,00,853

24,397

10,25,250

372

1,579

6,680

8,631

10,33,881

18,683

10,52,564

October

10,12,851

24,785

10,37,636

422

1,618

6,348

8,388

10,46,023

   
November

10,20,223

25,173

10,45,396

436

1,635

7,265

9,336

10,54,732

   
December

10,43,181

25,785

10,68,966

481

1,646

6,996

9,123

10,78,089

18,951

10,97,040

January

10,43,479

25,938

10,69,417

287

1,718

7,025

9,030

10,78,447

   
February

10,59,858

26,240

10,86,098

245

1,738

7,050

9,033

10,95,131

   
March

10,68,791

27,556

10,96,347

540

1,738

7,117

9,395

11,05,742

18,327

11,24,069

                     
2000-01*                    
April

10,96,659

27,556

11,24,215

202

1,827

7,135

9,164

11,33,379

   
May

11,05,049

27,556

11,32,605

802

3,109

7,430

11,341

11,43,946

   
June

11,17,466

27,556

11,45,022

981

3,154

7,790

11,925

11,56,947

17,866

11,74,812

July

11,17,749

27,556

11,45,305

1,218

2,967

8,217

12,402

11,57,707

   
August

11,24,713

27,556

11,52,269

937

2,769

8,004

11,710

11,63,979

   
September

11,36,222

27,556

11,63,778

937

2,769

8,004

11,710

11,75,488

17,866

11,93,354


.. Not Available * Based on broad concept of term deposits (see note: 4 below)
CDs: Certificates of Deposit; L1, L2 and L3: Liquidity Aggregates; NBFCs: Non-Banking Financial Companies
Notes: 1. Figures are provisional.
  2. The acronym NM3 is used to distinguish the new monetary aggregate as proposed by the Working Group on Money Supply: Analytics and Methodology of Compilation (1998), from the existing monetary aggregates.
  3. Postal Deposits comprise post office savings bank deposits, post office time deposits, post office recurring deposits, other deposits and post office cumulative time deposits.
 

4.

The data base from April 1993 to March 1999 includes liabilities of financial institutions which were subject to the extant umbrella limits on net owned funds. From April 1999 onwards liabilities of financial institutions have a broader coverage including, inter alia, public deposits with these financial institutions (FIs). FIs, here, comprise IDBI, IFCI, ICICI, EXIM Bank, IIBI, SIDBI, NABARD, NHB, TFCI and IDFC.

  5. Estimates of public deposits are generated on the basis of returns received from all non-banking financial companies (NBFCs) with public deposits of Rs. 20 crore and more as had been recommended by the Working Group.


*


Prepared in the Division of Money and Banking of the Department of Economic Analysis and Policy.

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