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Current Economic Statistics and Review For the Week 
Ended
March 28, 2009 (13th Weekly Report of 2009)

 Theme of the week:

 

A SHORT-TERM FORECASTING MODEL for India’s Real GDP Growth:
Supply-Side Disaggregated Sectoral Forecasting – III*

1.  Introduction

In this third and final part of this series of sectoral forecasting, an attempt is made to present the details of our methodological note on forecasting real GDP originating in the services sector.

Short-term Forecasting of Real GDP Originating in Services Sector

The Indian economy has witnessed a structural shift in favour of diverse services wherein the services sector as a whole has emerged as a key driving force behind the economic growth of the country. The share of the services sector has risen gradually over the years and it has now constituted around 56% of the real gross domestic product (GDP) of the country in 2007-08.

Briefly, of the seven major industrial categories for which the Central Statistical Organisation (CSO) regularly publishes the GDP series, four comprise the ‘services’ sector, namely, (i) trade, hotels and restaurant; (ii) transport, storage and communication; (iii) financing, insurance, real estate and business services; and (iv) community, social and personal services. For estimation purposes, regression equations have been used in a disaggregated manner separately for each of the above-mentioned sub-categories. Thus, we have the following identity

GSERt = GTHRt + GTSCt + GFIRBt + GCSPt

Where, GSER = GDP originating in services sector at 1999-2000 prices;

GTHR = GDP originating in trade, hotels and restaurant segment;

GTSC = GDP originating in transport, storage and communication;

GFIRB = GDP originating in financing, insurance, real estate and business services;

GCSP = GDP originating in community, social and personal services.

The subscript ‘t’ represents the year ‘t’ and ‘t’ ranges from 1999-2000 to 2007-08, covering a span of 9 years. As per the new series of GDP at 1999-2000 prices, there have been some structural changes in favour of the services sector. Also, many indicators used as explanatory variables are available only for recent years. Hence, as an exploratory exercise, we have used only 9-year data for projection purposes. We are conscious of the limited nature of the number of observations for the multiple regression analysis attempted here. We propose to expand the coverage with more number of observations for the varied indicators of the services sector subsequently.

 

2. Trade, Hotels and Restaurant Segment (GTHR)

In order to estimate value added in ‘trade, hotels and restaurant’ segment (GTHR), four indicators, viz., tourists inflow, foreign exchange earned from tourism and related activities, credit provided by commercial banks for trade and related business operations, and VAT collection by various state governments, were selected. While the first two indicators were converted into indices taking 1999-00 as the base year, the latter two were first reduced to real numbers using aggregate GDP deflators and then were converted into indices. In case of non-food credit supply by commercial banks, the available data series are in the form of outstandings or stock figures. On producing a representative number for a given year, we require averages of individual months for the year, or at least averages of two successive year-end outstandings. We have used averages of the credit amount outstanding as on 31 March for two successive years and the same were converted into real numbers using GDP deflators (Annexure I). The four indices thus obtained were:

TOUR = Index of tourist inflow;

FOREX = Index of foreign exchange earnings from tourism and related activities;

RNFC = Credit provided by commercial banks for trade and related activities; and

VAT = VAT collection by various state governments (total).

GTHR was assumed to be a linear function of the above-mentioned indices, which were treated as explanatory variables. This has led us to formulate the following equation system:

GTHRt = f (TOURt, FOREX t, RNFCt, RVATt)         (Stage I) ---- (1)

Where the subscript ‘t’ represents the year ‘t’ and ‘t’ ranges from 1999-2000 to 2007-08, covering a span of 9 years. The regression equation derived at stage I using unstandardised coefficients was as follows:

Regressing GTHR on these four indices, it was observed that regression coefficients of TOUR and RNFC were negative. Hence, instead of using four indices separately, a composite index (ITHR) was derived using a weighted average of the four indices. Before applying weights, out of total four indices, the two relevant to tourism activates (TOUR and FOREX) were converted into one index taking their simple average. A similar procedure was followed for the remaining two indices that represented trade-related services. Weights were assigned using average contribution of trade and tourism related services in the real GDP originating from this particular segment for the period under review. The combined index, ITHR, thus obtained was treated as a single explanatory variable having the linear relationship with GTHR.

GTHRt = f (ITHRt)                                 (Stage II) ---- (2)

The regression equation derived using unstandardised coefficients was

Though this equation system was found to be providing good fit, we altered this model including additional variable, a lagged variable, viz., GTHRt-1 (which was value added in ‘trade, hotels and restaurant’ segment with one-year lag). Thus, the new system was

GTHRt = f (ITHRt, GTHRt-1)                                        (Stage III) ---- (3)

The regression equation derived substituting unstandardised coefficients was

This regression equation displayed the intercept term having negative value, for which there is the structural explanation, namely, other variables over-perform. Hence, we have discarded this model.

Based on the regression equation derived at stage II, GTHR for 2008-09 (the year for which estimation exercise has been undertaken) was calculated by inserting corresponding estimated values of all the explanatory variables for the projection year. The values of TOUR and FOREX were computed taking into account the data available so far during the year 2008-09 and assessing a possible trend that might prevail for the remaining period of the year. In case of RNFC, the non-food credit supply for 2008-09 was assumed to grow at the rate similar to that prevailed in 2007-08. Data for sales tax/VAT collection was available from the Reserve Bank studies of on state finances.

By inserting the values of all the projected explanatory variables (except RVAT) in the regression equation derived at stage II, we got

GTHR 2008-09 = 65759.8 + (1870.5 * 249.3)

Thus, the real GDP originating from ‘trade, hotel and restaurant’ segment was estimated at Rs 531,985 crore, which implies a growth of about 6.9 % during 2008-09.

 

3. Transport, Storage and Communications

In this case, keeping the period under review similar to that in the previous segment (1999-2000 to 2007-08), total six indicators representing various modes of transport (rail, road, water and aviation) and communication were chosen that could help arrive at value added in ‘transport, storage and communication’ segment (GTSC). The indicators were converted into indices taking 1999-00 as the base year and were treated as independent variables linearly related to GTSC (Annexure II).

GTSCt = f (RAILt, PORTt, AVIPSt, AVICRGt, COMVEHt, COMMt)      (Stage I) ---- (4)

Where,

RAIL = Index of Railway Revenue Earning Freight Traffic,

PORT = Index of Cargo handled at Major Ports,

APS = Index of Passengers handled at Domestic and international Airports,

ACRG = Index of Cargo handled at Domestic and International Airports ,

CVEH = Index of Commercial Vehicle Production,

COMM = Index of Gross Telephone Subscribers (Fixed + Mobile phones). Here, since the available data series was in the discrete form, before computing indices, the data series was transformed into a continuous form by taking the simple average of the number of subscribers outstanding as on 31 March for two successive years.

The subscript ‘t’ represents the year ‘t’ and ‘t’ ranges from 1999-2000 to 2007-08.

We began the regression exercise by regressing GTSC on all the above-mentioned explanatory variables and the regression equation derived at stage I using unstandardised coefficients was

We found that values of the intercept term and the regression coefficients of PORT and AVIPS were negative.

Hence, we tried alternative model whereby a combined index of all the six indices (ITSC) was computed using a weighted average method. Before assigning weights, we grouped the indicators representing transport operations to form a single index (TRANS) for this category using simple average. Index for gross telephone subscribers was already available. Then appropriate weights were assigned to these two indices, viz., TRANS and COMM, where weights are nothing but average share of transport related services as well as communication services in the real GDP originating from this particular segment for the period under review (1999-2000 to 2007-08).

The regression exercise where GTSC was treated as a linear function of ITSC resulted in

GTSCt = f (ITSCt)                                      (Stage II) ---- (5)

Using unstandardised coefficients the regression equation that we got was as follows: 

In this model, though we had positive regression coefficients, DW stats were showing error terms having positive autocorrelation, as DW (0.602) < DWL (0.824) at 0.05 level of significance. In order to improve DW statistic, we incorporated an additional explanatory variable, viz. real GDP originating from this sector with one-year lag (GTSCt-1) and formulated the equation thus:

GTSCt = f (ITSCt, GTSCt-1)                  (Stage III) ---- (6)

Using unstandardised coefficients the regression equation turned out to be 

However, this model rendered regression coefficient of ITSC negative, though it overcame the problem of autocorrelation improving DW statistic. Since inverse relationship between ITSC and GTSC could not hold true, this had to be discarded.

We decided to disintegrate this combined index (ITSC) into index of transport-related activities (TRANS) and COMM. Then using these two indices as explanatory variables and assuming a linear relationship between GTSC and these two variables, we constructed the following system:

GTSCt = f (TRANSt, COMMt                                    (Stage IV) ---- (7)

The regression equation thus derived at stage IV using unstandardised coefficients was

In this model, using two separate indices for transport and communication services helped assign higher weightage to an indicator of communication segment thereby capturing the substantial increase in its share in the value added in ‘transport, storage and communication’ segment, on account of massive growth that this sector has witnessed in the recent past.

We also tried to incorporate an additional lagged variable, viz., GTSCt-1 in this model (Stage V) ----(8) and found that regression coefficient of COMM was turning out to be negative. Hence, we decided to drop the lagged variable GTSCt-1.

Based on the regression equation derived at stage IV (Equation 7), GTSC for 2008-09 (the year for which estimation exercise has been undertaken) was calculated by inserting corresponding values of all the explanatory variables. To compute TRANS for 2008-09, the values of RAIL, PORT, APS, ACRG, and CVEH were obtained taking into account the data available so far during the year 2008-09 and possible trend for the remaining period of the year.

Thus, by inserting the values for all the explanatory variables in the equation obtained at stage IV (Equation 7), we got

GTSC2008-09 = (-3177.4) + (1515.1 * 229.7) + (20.2 * 1402.65)                            

Thus, the real GDP originating from ‘transport, storage and communication’ segment was estimated at Rs 373,289 crore, which implies a negative growth of (-) 1.2 % for 2008-09.

 

Combining GDP emanating from trade, hotels and restaurant segment (GTHR) and that from transport, storage and communication (GTSC), we arrive at Rs 905,274 crore, which represents 3.4% growth over last year (Rs 875398 crore).

4. Financing, Insurance, Real Estate and Business Services

To estimate the real GDP emanating from ‘financing, insurance, real estate and business services’ segment for 2008-09, five indicators were chosen with their data-series covering the same time-period of 9 years, i.e., from 1999-2000 to 2007-08. Aggregate deposits mobilised by scheduled commercial banks and their non-food credit supply were taken as representatives of financial services, while total turnover (size) of IT and ITeS industry was used as indicative of business transactions. Since the ‘real estate’ sub segment in the CSO’s sectoral classification covers both real estate (all types of real estate related services) and ownership of dwelling (occupied residential houses) it is assumed that the main part of the real estate services are linked to construction activities undertaken for dwelling purposes and hence, productions of cement and steel in value terms were chosen to denote the performance of real estate category. These indicators were converted into indices taking 1999-00 as the base year and were treated as independent variables explaining the changes in the real GDP originating from ‘financing, insurance, real estate and business services’ segment. Non-food credit supply was converted into real terms as we did while estimating GDP originating from ‘trade, hotels and restaurant’ services. Similar procedure was followed to convert data series of ‘aggregate deposits’ into real terms. For real estate indicators, value of cement and steel production were also reduced to real numbers using GDP deflators (Annexure III). The model representing the linear relationship between explanatory variables and GDP was as follows

GFIRBt = f (RAGDt, RNFCt, RVCt, RVSt, ITSt,)                      (Stage I) ---- (9)

Where,

GFIRB = GDP originating from ‘financing, insurance, real Estate and business services’ at 1999-2000 prices

RAGD = Index of aggregate deposits mobilised in real terms

RNFC = Index of non-food credit supply in real terms

RVC = Index pf value of cement output in real terms

RVS = Index of value of output of steel in real terms

ITS = Index of turnover of IT and ITeS industry

The subscript ‘t’ represents the year ‘t’ and it ranges from 1999-2000 to 2007-08; period of 9 years.

Inserting unstandardised coefficients in the regression equation obtained at stage I (Equation 9), we got

As it was observed that this model rendered the coefficients of RVC, RVS and ITS negative, we altered the model to use combined index (IFRIB) of all these indicators as a single explanatory variable that is linearly related to GFIRB. IFRIB was the weighted index. For assigning weights, banking-related indices (RAGD and RNFC) were clubbed together to form a single index using simple arithmetic average. Similar procedure was followed by which the remaining three indices (RVC, RVS and ITS) were also converted into a single index number. Weights assigned were equivalent to their average contribution in the valued added to this particular segment for the period under review. The new model thus obtained was

GFIRBt = f (IFRIBt)                                                   (Stage II) ----- (10)

Substituting the unstandardised coefficients we got the following regression equation:

Substituting the unstandardised coefficients in equation 10 obtained at stage II, we got the following regression equation

GFIRB 2008-09 = 158652.4 + (787.6 *431)

Thus, the real GDP originating from ‘financing, insurance, real estate and business services’ segment was estimated at Rs 498,243 crore, which implies a growth of 8.9% for 2008-09.

This model was found to be providing good fit; still we tried to incorporate an additional lagged variable, namely, GFIRBt-1, that is real GDP originating from this segment with on-year lag as is the normal practice in short-term forecasting techniques. With this addition the linear regression obtained was:

GFIRBt = f (IFRIBt, GFIRBt-1)                       (Stage III) ---- (11)

Using unstandardised coefficients the regression equation depicted the following results

Thus, this model showed slight improvement in R2 and adjusted R2. Hence, based on the regression equation derived at stage III (Equation 11), GFIRB for 2008-09 was calculated by inserting corresponding values of all the explanatory variables. IFRIB for 2008-09 was projected taking into account the data available so far during the year 2008-09 and possible trend for the remaining period of the year for the variables like cement and steel output (in value terms) as well as that of banking indicators. In case of IT and ITeS, growth estimates provided by NASSCOM were used to arrive at 2008-09 index (ITS).

GFIRB2008-09 = 85826.9 + (491.2 *431)  + (0.5 *457584)

Thus, the real GDP originating from ‘financing, insurance, real estate and business services’ segment was estimated at Rs 506, 270 crore, which implies a growth of 10.6% for 2008-09.

In this segment, we get two projection estimates ranging from 8.9% to 10.6% both of which are statistically acceptable. We accept the 10.6% growth projection, as DW statistic is arguably better at stage III (Equation 11) as compared to that obtained at stage II (Equation 10).

 

5. Community, Social and Personal Services

In order to arrive at value added in ‘community, social and personal services’ for the year 2008-09, two major indicators, total expenditure incurred by central government and sum total of expenditures by all state governments and union territories taken together were selected. Since the indicators have been in nominal form, the same were converted into real numbers by the deflation method and then they were transformed to indices taking 1999-2000 as the base year (Annexure VI). By assuming the real GDP originating in community, social and personal services’ to be a linear function of indices computed earlier, we had

GCSPt = f (CENEXPt, STAEXPt)                                  (Stage I) ----(12)

Where,

GCSP = GDP originating from community, social and personal services’ at 1999- 2000 prices

CENEXP = Index of total expenditure incurred by central government

STAEXP = Expenditure accrued to all state governments and union territories taken together.

The subscript ‘t’ represents the year ‘t’ and ‘t’ ranges from 1999-2000 to 2007-08.

Using unstandardised coefficients the regression equation turned out to be 

The regression model at stage I (Equation 12) resulted in regression coefficient of CENEXP turning negative. Hence, an alternative model was tried, whereby we formed a combined index, viz., ICENSTA, taking simple average of ICENEXP and ISTAEXP and that was treated as an explanatory variable having linear relation with GDPCSP. Thus,

GCSPt = f (CENSTAt)                                        (Stage II) ---- (13)

Substituting the unstandardised coefficients we got the following regression equation

The model was found to have a good fit, though adjusted R2 was found at 0.91. To improve on this an additional variable lagged value of GDP were introduced. Now, the model changed to 

GCSPt = f (CENSTAt, GCSPt-1)                              (Stage III) ---- (14)

The model saw substantial improvement in adjusted R2. The regression equation derived using unstandardised coefficients was

Based on the regression equation derived at stage III (Equation 14), GCSP for 2008-09 was calculated by inserting corresponding values of all the explanatory variables. CENSTA for 2008-09 was computed using CENEXP and STAEXP for 2008-09. CENEXP was based on the central government expenditure data available so far during the year 2008-09 and possible trend for the remaining period of the year, while STAEXP was determined using budgeted estimate of state government expenses. Therefore, the regression equation to be calculated was

GDPCSP2008-09 = 23577.9 + (348.5 * 204.9) + (0.841 * 411256)            (Equation A)

Thus, the value added in ‘community, social and personal services’ during 2008-09 is estimated at Rs 439,201 crore, a growth of 6.8% over the previous year.

Keeping the CENEXP figure projected for 2008-09 unchanged, we refined STAEXP adding Rs 30,000 to budgeted estimate of state government expenses (Rs 892,783 crore) as the central government has asked the state governments to increase their plan expenditure by the aforesaid amount. This altered the CENSTA to 208.1; inserting the same in Equation A, the GDP figure was arrived at as follows

GDPCSP2008-09 = 23577.9 + (348.5 * 208.1) + (0.841 * 411256)

Thus, the real GDP worked out to be Rs 440,334 crore, pegging the growth rate at 7.1% y-o-y.

However, looking at the recent developments in the economy, huge increases in government expenditure are likely, in the form of the form of various social expenditures and other expenses arising from the implementation of the Sixth Pay Commission recommendations, farm loan waiver scheme and financing of additional subsidies for oil, fertilisers and food, etc. In this backdrop, both the growth rates derived above, viz., 6.8% and 7.1%, were found to be understating the likely sharp increases in government expenditures.

In an attempt to arrive at a more realistic growth rate, we decided to drop the variable GCSPt-1maintaining the methodological consistency followed while estimating real GDP in all the previous three segments of the services sector. Thus, by substituting CENSTA = 208.1 in the function at stage II, i.e.,

GDPCSPt = f (ICENSTAt),

We derived 

GCSP2008-09 = 76787.7 + (1883.2* 208.1) = 468701

Thus, the real GDP originating from ‘community, social and personal services’ is pegged at Rs 468, 701 crore, with the growth rate standing at 14.0%.

 

6. Projecting the real GDP originating in Services Sector

As per the identity mentioned at the beginning of this note, that is,

GSERt = GTHRt + GTSCt + GFIRBt + GCSPt

the GDP emanating from the services sector at 1999-2000 prices can be computed by adding up the real GDP figures estimated for the four sub-segments of this sector. Inserting the projected values of GTHR, GTSC, GFIRB, and GCSP, the GSER stands at Rs 1,880,245 crore, posting a growth of 7.8% for 2008-09 (Table 1).

 

Table 1: GDP originating in Services Sector: at 1999-2000 prices

Segment

2008-09

2007-08

Growth Rate

(Rs crore)

(%)

Trade, Hotels & Restaurants

531985

497685

6.9

Transport, Storage & Communication

373289

377713

-1.2

Financing, Insurance, Real Estate & Business

506270

457584

10.6

Community, Social & Personal Services

468701

411256

14.0

Total Services

1880245

1744238

7.8

Source: Data for 2008-09 are projected by EPWRF and that for 2007-08 is given by CSO

 

7. Estimation of Aggregate GDP (at 1999-2000 prices) for 2008-09

This brings us to the concluding section of the study series undertaken to project the real income growth in the economy for 2008-09 using the short-term forecasting techniques. Based on the sectoral approach, the study adopted supply-side methodology to estimate real GDP growth originating in (i) agriculture and allied activities, (ii) industry, and (iii) services sector, performing multiple regression analyses in iterative manners using alternative model systems for each of the sectors and sub-sectors. Our final results are summarised in the Table2 below:

 

Table 2: Gross Domestic Product at 1999-2000 prices

Sectors

2008-09

2007-08

Growth Rate

(Rs crore)

(%)

Agriculture, Forestry & Fishing

579357

557122

4.0

Industry

872186

828357

5.3

Services

1880245

1744238

7.8

Economy

3331788

3129717

6.5

Source: Data for 2008-09 are projected by EPWRF and that for 2007-08 is given by CSO

 

Thus, the growth in the real GDP at the aggregate level is projected at 6.5% to Rs 3,331,788 crore for 2008-09 over the previous year. On the face of it, the agricultural growth predicted at 4% appears high, but as we have emphasized earlier, it probably represents the potentiality of the sector to grow, given the existing indicators of inputs. Apart from agriculture and allied activities, the projections for industry and services sectors also accommodate some possible impact of the stimulus packages already under implementation. Hence, the overall 6.5% growth during 2008-09 appears realistic.

(*This note has been prepared by Pallavi Oak)

 

Highlights of  Current Economic Scene

Growth Scenario

For the first time in 60years, the world economy is set to be in contraction because of the deepening financial crisis; which will lead to the global GDP shrinking by up to 1% in 2009.

International Monetary Fund (IMF) said that Indian growth is likely to see a downturn to 6.25% in 2008-09 due to falling corporate investment and deteriorating global outlook. It also projected that India ’s growth will moderate to 5.25% next fiscal year (2009-10).

Abhijit Sen, Planning Commission member is of the opinion that growth in the next fiscal year (2009-10) may reach 7% because of stimulus packages, which is being introduced in the economy.

Broking house CLSA Asia-Pacific Markets has forecast GDP growth of 4.6% in 2009-10 and expects the domestic economy to stabilize only by early 2010.

C Rangarajan, member of Rajya sabha, has commented that the economy, particularly the economies of developed countries will start showing distinct improvement only in 2010-2011.

Agriculture

Wheat procurement as on 24 March 2009 for the marketing season 2009-2010 has reached at about 8,500 tonnes as compared to nearly 27,000 tonnes in the year-ago period. Procurement has begun across the country on 18 March in Madhya Pradesh, Rajasthan and Gujarat , almost 10-12 days ahead of the normal schedule of 01 April. According to the latest data, procurement in Madya pradesh stands at 4,491 tonnes as against 26,893 tonnes during the corresponding period last year. The arrivals in the state is expected to be low at 21,649 tonnes as against 1.41 lakh tonnes a year-ago. Rajasthan has procured 3,339 tonnes untill now as there were no purchases made during the same period a year ago. Meanwhile, rice procurement which began in October last year reached at 253.59 lakh tonnes as on 24 March 2009 as compared to 213.76 lakh tonnes in the year-ago period.

The central government has decided to freeze the quantity of rice and wheat, which is supplied at a discounted price to the above poverty line (APL) households at 13.6 lakh tonnes per month. Families under APL would continue to get wheat at Rs 6.10 per kg and rice at Rs 8.30 per kg within this limit, but they would be charged the minimum support prices (MSPs) of the foodgrains for allocation beyond 13.6 lakh tonne per month.

According to industry sources, despite minimum export price (MEP) has been reduced for the basmati rice from US$ 1,200 per tonne to US$ 1,000 per tonne, basmati exporters are still facing stiff competition in the global market i.e. from Pakistan (MEP is at US$ 800 per tonne).

Sugar production in Uttar Pradesh is expected to drop by 43% this year due to reduced sugarcane harvest, leading to fall in supplies of sugar cane. Secretary General of the Uttar Pradesh Sugar Mills Association stated that sugar output by 30 September 2009 would be around 4.15 million tonnes as against 7.3 million tonnes last year. Sugarcane production in the state upto 15 March 2009 was 3.97 million tonnes. More than 115 mills in Uttar Pradesh have been closed down and remaining 15 is expected to run out of supplies by the month-end.

Cotton Corporation of India (CCI) has so far offloaded about 55 lakh bales (each of 170 kg) of cotton due to the ‘bulk discount offer scheme’ with advantage of longer delivery period and supported by good buying from mills and ginners. The corporation has so far procured about 88 lakh bales for the current season, nearly 30% of the national estimated crop. Meanwhile, the Cotton Advisory Board (CAB) has lowered its output estimates to 290 lakh bales from the earlier 322 lakh bales due to delayed sowing and erratic monsoon.

As per the report by National Horticultural Research and Development Foundation (NHRDF), acreage under potato cultivation during 2008-09 is expected to be more by about 5% as compared to last year. Despite reports of crop failure and shrinkage in areas under cultivation in two of biggest potato producing states like West Bengal & Uttar Pradesh. West Bengal , contributes nearly 30% of the total potato production, but this year it is estimated that yield would be lower to 2.2 million tonnes as against 8 million tonne last year as most of the crops in some of the areas has been affected by late blight. Potato output in Uttar Pradesh and Punjab is estimated to be around 13.5 million tonnes, 1.4 million tonnes as against 11.8 million tonnes and 9.50 lakh tonnes, respectively, a year ago.

Spices exports from the country for the first eleven months of the current financial year have crossed US$ 1 billion-mark despite the slowdown in global trade. India exported 3,95,775 tonnes of spices and spice products valued at Rs 4,590.50 crore (US$ 1,020.95 million) this year as against 3,86,875 tonnes valued at Rs 3,950.50 crore during the corresponding period of the last financial year. Exports have shown an increase of 16% in rupee value and 2% in volume. In dollar terms, it has shown a rise of 4%. Spice oils and oleoresins including mint products contributed 43% of the total export earnings. Chilli contributed 21% followed by pepper 8%, cumin 7% and turmeric 5%. Export of seed spices showed an improvement this year. The export of value added products like curry powder and spice oils & oleoresins have also shown a substantial increase both in terms of quantity and value as compared to last year. Export of spices like cardamom, cumin, fenugreek, nutmeg & mace and vanilla have achieved their respective targets in both volume and value fixed for the year 2008-09.

International Grains Council (IGC) has reiterated that global wheat output in 2008-09 is projected to reach a record of 688 million tonnes, marking a 13% increase over 609 million tonnes in the previous year. This augmentation in production is due to higher estimated produce in Australia .

Industry

The General Index (IIP) stands at 280.4, which is 0.5% lower as compared to the level in the month of January 2008. The cumulative growth for the period April-January 2008-09 stands at 3.0% over the corresponding period of the pervious year.

The annual growth of thee Indices of Industrial Production for the Mining, Manufacturing and Electricity sectors for the month of January 2009 at (-) 0.4%, (-) 0.8% and 1.8% as compared to January 2008. The cumulative growth during April-January, 2008-09 over the corresponding period of 2007-08 in the three sectors have been 2.7%, 3.0% and 2.6% respectively, which moved the overall growth in the General Index to 3.0%.

In terms of industries, as many as five (5) out of the seventeen (17) industry groups (as per 2-digit NIC-1987) have shown positive growth during the month of January 2009 as compared to the corresponding month of the previous year. The industry group ‘Machinery and Equipment other than Transport Equipment’ have shown the highest growth of 17.5%, followed by 10.3% in ‘Other Manufacturing Industries’ and 5.3% in ‘Beverages, Tobacco and Related Products’.  On the other hand, the industry group ‘Food Products’ have shown a negative growth of 16.1% followed by 15.2% in ‘Wood and Wood Products; Furniture and Fixtures‘ and 13.4% in ‘Transport Equipment and Parts’.

As per Use-based classification, the Sectoral growth rates in January 2009 over January 2008 are (-) 1.0% in Basic goods, 15.4% in Capital goods and (-) 9.2% in Intermediate goods. The Consumer durables and Consumer non-durables have recorded growth of 2.5% and 0.7% respectively, with the overall growth in Consumer goods being 1.1%.

Infrastructure

The Index of Six core industries having a combined weight of 26.7 per cent in the Index of Industrial Production (IIP) with base 1993-94 stood at 242.0(provisional) in February 2009 and registered a growth of 2.2% (provisional) compared to a growth of 7.0% in February 2008.  During April-February 2008-09, six core-infrastructure industries registered a growth of 3.0% (provisional) as against 5.8% during the corresponding period of the previous year.

Crude Oil production (weight of 4.17% in the IIP) registered a negative growth of 6.2% in February 2009 compared to a growth rate of 2.3% in February 2008. The Crude Oil production registered a growth of (-)1.7 (provisional) during April-February 2008-09 compared to 0.5% during the same period of 2007-08.

Petroleum refinery production  (weight of 2.00% in the IIP) registered a growth of 0.5% (provisional) in February 2009 compared to growth of 5.8% in February 2008. The Petroleum refinery production registered a growth of 3.0% (provisional) during April-February 2008-09 compared to 7.2% during the same period of 2007-08.

Coal production (weight of 3.2% in the IIP) registered a growth of 6.0% (provisional) in February 2009 compared to growth rate of 11.6% in February 2008. Coal production grew by 8.7% (provisional) during April-February 2008-09 compared to an increase of 5.6% during the same period of 2007-08. 

Electricity generation (weight of 10.17% in the IIP) registered a growth of 0.3% (provisional) in February 2009 compared to a growth rate of 9.8% in February 2008. Electricity generation grew by 2.1% (provisional) during April-February 2008-09 compared to 6.6% during the same period of 2007-08.

Cement production (weight of 1.99% in the IIP) registered a growth of 8.3% (provisional) in February 2009 compared to 12.8% in February 2008. Cement Production grew by 7.2% (provisional) during April-February 2008-09 compared to an increase of 7.9% during the same period of 2007-08.

Finished (carbon) Steel production (weight of 5.13% in the IIP) registered a growth of 3.6%(provisional) in February 2009 compared to 2.3% (estimated) in February 2008. Finished (carbon) Steel production grew by 2.4% (provisional) during April-February 2008-09 compared to an increase of 5.6% during the same period of 2007-08.

Inflation

The official Wholesale Price Index for ‘All Commodities’ (Base: 1993-94 = 100) for the week ended 14 March 2009 rose marginally by 0.1 percent over the previous week.  

The annual rate of inflation, calculated on point-to-point basis, stood at 0.27 percent (Provisional) for the week under reference as compared to 0.44 percent (Provisional) for the previous week and 8.08 percent during the corresponding week of the previous year.  

The index of major group primary articles rose marginally to 245.6 from 245.5 for previous week mainly due to higher price of barley,, bajra, maize, fruits and vegetables, masur, urad, rice.

The index for major group fuel, power, light and lubricants remained unchanged at its previous week's level.

The index for major group manufactured products rose by 0.2 by 0.1 percent over the week due to higher prices of oil cakes and edible oils etc.

Wholesale price index for ‘All Commodities’ (Base: 1993-94=100) revised up to 229.0 from 230.5 for the week ended 17 January 2009 and annual rate of inflation based on final index, calculated on point to point basis, stood at 4.95 percent as compared to 5.64 percent (Provisional).

Financial Market Developments

Capital Markets

Primary Market

The country's largest commodity bourse, Multi-Commodity Exchange (MCX), is reviving its initial public offer (IPO), within a year of shelving its plans to tap the capital market. As per market sources Jignesh Shah-led Financial Technologies, the promoter of MCX, announced some investment bankers and brokers recently about the possibility of reviving plans for the IPO.

Secondary Market

Equity bourses carried forward the week-long momentum, and displayed a distinctly strong trend during the week on the back of strong positive signals from global markets. A steep fall in the India 's inflation also raised expectations of a further easing of the monetary policy by the Reserve Bank of India . India 's (RBI) wholesale price index (WPI) rose 0.27% in the 12 months to 14 March 2009, below the previous week's annual rise of 0.44% which has provided room for the RBI to cut interest rates further to support faltering economic growth. Amid high volatility, the BSE Sensex jumped 1,089 points or 12% to 10,049, in the week ended Friday, 27 March 2009. This is the largest weekly gain for the Sensex in the calendar year 2009. The BSE Mid-Cap index gained 173.10 points or 6.27% to 2,934.16 and the BSE Small-Cap index advanced 124 points or 4% to 3,238 over the week. The NSE Nifty jumped 302 points, or 11%, to end the week at 3109. According to experts, equity markets across the globe witnessed a revival in sentiments following the US government’s plans to pump in $1 trillion to help the US banking system get rid of its toxic assets.

The NSE has decided to calculate its benchmark indices on free float market capitalisation basis. This means that the weightages of companies in the index will be decided according to the floating stock of the company, and not by market capitalisation (full float). The BSE has already been calculating its indices on the basis of free float market capitalisation.

The country’s two top equity exchanges, the BSE and the NSE will share stock feeds on their electronic trading platform. The alliance could later extend to market players on both the exchanges trading on a single platform. BSE’s online trading platform (BOLT) could be available on NSE’s software Neat-on-Web (NOW), though no agreement has been reached on this so far.

The Association of Mutual Fund in India (Amfi) is planning to make the proposal with Securities Exchange Board of India (SEBI) to the expenses charged by a mutual fund to its investors. The move will witness a mechanism where investors could choose between different classes of units and also the applicable expenses or load to be payable. For the past couple of months, a committee of Amfi has been working to replicate in the Indian context the ‘share classes’ structures used in US and Europe . These classes segregate the schemes of the mutual fund into different categories and investors can choose their preferred class and pay the applicable ‘load’ or expense.

Mutual funds will need to realign investments worth Rs 16,000 crore following the move by NSE to switch to free-float capitalisation method for calculating the weightages of companies in the S&P CNX Nifty, effective from 26 June. Actively managed equity funds worth Rs 16,000 crore and index funds worth Rs 600 crore are benchmarked to the 50-share S&P CNX Nifty. The NSE, at present, uses the full-market capitalisation method for reaching relative weightages of constituent stocks in Nifty. Foreign institutional investors (FIIs) however, will not need to churn their India portfolios much as most of their funds are benchmarked to the MSCI Index, which is calculated on the basis of free-float method.

Over the last couple of months, a lot of debt mutual funds have shifted their assets into short-term money market instruments, as they want to be ready to meet redemption pressures in the last quarter of this financial year. As a result, their investments in collateralised lending and borrowing obligations (CBLOs) have risen from Rs 4,500 crore as of December to Rs 19,000 crore by February-end.

The NSE the leader in the equities trading space is expecting an increase of over 8.5% in the number of its terminals by the end of 2009. According to sources at the exchange, the number of terminals is expected to cross 2,00,000 by the end of the year. The exchange has 1,84,000 terminals at present. NSE, the country’s largest exchange in terms of trading volumes, is pushing for more terminals at a time when new players are looking to enter the equities trading space. The exchange is now planning to spread its network to over 100 new towns. According to sources, the exchange also intends to go ahead with the introduction of new products. In the last 15 months, it has launched six new indices, including Nifty Junior, dollar index S&P CNX Nifty Defty, Nifty Mid-cap 50 and volatility index (VIX), besides launching a gold exchange traded fund.

Following the SEBI’s directive to the exchanges to carry out internal audits of their stockbrokers and clearing members, the NSE has asked its brokers and members to appoint an internal auditor for carrying out audits of their operations in all segments of the exchange. NSE said that reports on internal audits were required to be submitted on a half-yearly basis with the first half-year period starting from 1 October 2008.

Derivatives

The Nifty surpassed the 3000-mark quite comfortably during the week and the upsurge was supported by high volumes, which indicates a widespread participation in the rally. The Nifty future closed at about 3,126 points against its previous week’s close of about 2,799, gaining a whopping 11.8%. It also ended in sharp premium to the spot, which closed at 3108.65. While market-wide rollover stood at 77%, slightly higher than its score on previous occasions, Nifty rollover stood at 68-70%, significantly lower from its previous performance.

India VIX or Volatility Index, which measures the immediate expected volatility, slid to 26.66, the lowest level in the last one-year. But it recovered sharply from lows to end at 37.14, indicating that that Nifty rally could turn weak.

The cumulative FII positions as a percentage of the total gross market position on the derivative segment as on 26 March rose to 39.51%. They were predominantly net buyers in the futures and options (F&O) segment during the week. They now hold index futures worth Rs 9,610.5 crore (Rs 8,239.68 crore) and stock futures worth Rs 13,372.16 crore (Rs 14,108.97 crore). Their index options slipped to Rs 19,024.57 crore (Rs 25,066.26 crore).

The stocks of Akruti City fell by over 45% on NSE on 26 March, as the stock would be out of F&O segment from 27 March. The counter was volatile in the bourses. The share price of Akruti fell to an intra-day low of Rs 700, after touching a high of Rs 1,948 and closed at Rs 999.45 on the NSE. On the BSE, the stock touched a low of Rs 670; it opened at Rs 1,830, and touched a high of Rs 1,948 and closed at Rs 819.40. The difference in the share price between the BSE and the NSE was as high as about Rs 400 during intra-day. As the F&O positions in the stock had to be squared off today, investors wound up their positions and sold the stock. The total traded quantity on BSE and NSE was 42 lakh shares and 73 lakh shares, respectively. The stock price of the stock had doubled in five trading sessions, after which the NSE posted the announcement of the discontinuation of trading in F&O segment for Akruti City . The stock will continue to trade in the cash segment. On BSE, nearly 38,000 shares of Akruti City were auctioned since 16 March when the real-estate firm’s stock rose significantly.

On 23 March the turnover jumped to Rs 78,271 crore, in the F&O segment on the NSE, which was the highest since 25 September 2008. The Nifty March future closed in discount at 2934 and the April future ended at 2935 against the spot close of 2939. The rollover was a healthy 57%, and most of them were on the long side.

The Derivatives Market Review Committee appointed by SEBI has proposed introduction of a range of sophisticated derivative products, such as over-the-counter (OTC), exchange-traded derivative and exchange-traded third-party products, to SEBI. As per a dealer the proposed products might not garner a lot of response initially but they will expand the market. The committee suggested introduction of products such as mini-contract on equity indices, options contract with long tenure, volatility index, bond index, exchange-traded currency contracts and exchange-traded credit derivatives.

Expansion of derivative products outside the equity segment is being put on hold for the time being. As a result, the stock exchanges, which were planning to introduce interest rate futures during the first quarter of the current calendar year, will have to wait till the regulators give a go-ahead. Even the expansion of currency derivatives, that was expected to be launched in the second half, would be delayed further.

A team from rating agency Standard and Poor’s (S&P) is expected to hold discussions with finance ministry officials after the government asked for an explanation for lowering India’s long-term sovereign rating outlook from “stable” to “negative”. The government is also approaching the other two major rating agencies — Moody’s and Fitch — to explain its fiscal strategy, the economic situation and the outlook. On 24 February, S&P cited the deteriorating fiscal situation as a key reason for lowering the outlook. Though the agency left the actual rating unchanged at BBB-, lowering the outlook raises the prospects of a downgrade to sub-investment grade, which would make it more expensive for Indian companies to raise money overseas.

Government Securities Market

Primary Market

Seventeen state governments auctioned 10-year paper maturing in 2019 for the notified amount of Rs 5,048.17 crore on 24 March. The cut-off yield for the securities was range from 8.08-8.48% being highest for Puducherry and lowest for Goa .

On 25 March 2009, RBI auctioned 91-day treasury bills (TBs) and 364 day TBs for the notified amount of Rs 5,000 crore and 3,000 crore, respectively. The cut-off yield for the 91-day TB was set at 4.95% and for 364-day TB was at 5.50%.

RBI re-issued 7.27% 2013 and 6.05% 2019 on 26 March for the notified amount of Rs 5,000 crore and 7,000 crore, respectively. The cut-of yield for the securities was set at 6.77% and 6.97%, respectively.

Through OMO, RBI purchased 7.38% 2015, 8.24% 2018, 7.94% 2021, 8.24% 2027 and 8.33% 2036 for the aggregate amount of Rs 10,000 crore with the cut-off yield of 6.70%, 6.73%, 7.48%, 7.69% and 7.77%, respectively.

Secondary Market

Bonds shed their gains and yields lurched forward as traders ignored low inflation numbers and shifted focus to rising international oil prices. The Government reported inflation of 0.27%, the lowest level in about 30 years. Most traders were, in fact, worried over rising international oil prices. The oil import basket prices breached $50 per barrel or the highest level since December this year. Besides, traders said there was considerable confusion from the RBI signaling mechanism. The confusion emerged from the Open Market Operations (OMO) held during the week. The securities purchased by RBI during the week were the 7.38% 2015, 8.24% 2018, 7.94% 2021, 8.24% 2027 and the 8.33% 2036.

Liquidity remained comfortable during the week, as was evident from the high recourse to the reverse repurchase window of Rs 13,750 crore, though some banks took advantage of repo window for Rs 2,600 crore, for meeting year-end liquidity requirements. Bankers said that the recourse to the repo window was mostly from private sector banks and some foreign banks for meeting their year-end reserve obligations.

Average daily trade volume plunged Rs 1,500 crore to Rs 8,700 crore. Equity trade volume in the NSE rose to Rs 12,900 crore exceeding debt trade for the first time since December last year. Though banks raised close to Rs 5,500 crore through certificate of deposits during the week, interest in securities remained lacklustre.

Bond Market

During the week under review, four FIs/banks, one NBFC, one central PSU and two corporates tapped the bond market to moblise an amount of Rs 4,360 crore.

 

Profile of Major Commercial Bond Issues for the Week Ending 27 March 2009

Sr

Issuing Company / Rating

Nature of Instrument

Coupon in % per annum and tenor

Amount in Rs crore

No

 

FIs / Banks

 

 

 

1

IDBI Bank Ltd
AA+ by Crisil, Fitch.

Bonds

9.25% for 5 years.

500

2

Canara Bank
AAA, AAA+ by Crisil, Brickwork.

Perpetual Bonds

9% with the step up of 50 bps if call is not exercised at the end of 10th year.

150

3

State Bank of Indore
AAA by Crisil.

Upper Tier II Bonds

9.17% with a step up of 50 bps if call is not exercised at the end of 10th year.

250

4

ICICI Bank Ltd
AAA by Crisil.

Upper Tier II Bonds

9.95% with the step up of 50 bps if call is not exercised at the end of 10th year.

1200

 

NBFCs

 

 

 

1

LIC Housing Finance Co Ltd
AAA by Crisil.

Bonds

8.15% for 13 months.

210

 

Central Undertakings

 

 

 

1

Indian Railway Finance Corp Ltd
AAA by Crisil, Care.

Bonds

8.49% for 5 years.

200

 

Corporates

 

 

 

1

Steel Authority of India Ltd
AAA by Fitch, Care.

Bonds

8.9% for 10 years and call after 6 year onwards.

1000

2

Reliance Infrastructure Ltd
AA by Fitch.

Bonds

11.55% for 10 years.

850

 

Total

4360

 

Source: Various Media Sources

 

RBI considered a proposal to relax the provisions of non-banking finance companies (NBFCs) to get some more time to meet higher capital adequacy ratio requirements. The roadmap prepared by the RBI required NBFCs who do not take deposits to achieve a capital-to-risk-assets (CRAR) ratio of 12% by April 2009, as against 10% at present. In fact, the CRAR was proposed to be enhanced further to 15% from April 2010.

 

Foreign Exchange Market

The absence of fresh inflows and high import demand for dollar pushed the rupee-dollar exchange down to Rs 50.54 per dollar during the weekend, down from the previous week’s Rs 50.14 per dollar. But traders said that at these levels some exporters took cover, hedging their forward receivables anticipating a dollar weakening. As a result, one, three, six and 12-month forwards ended the week at 5.97% (6.19%), 4.30% (4.69%), 3.38% (3.91%) and 2.56% (2.90%) respectively. Cash to spot forward premia though hardened to 5.75% as some foreign banks resorted to buy-sell swaps taking advantage of the firm call money rates. But the rupee’s short-term trajectory was evident from the high non-deliverable forward markets (NDF) that saw the rupee end the week at Rs 51.41 per dollar.

Currency Derivatives

The daily volumes in currency futures market has risen to Rs 5,915 crore as on 26 March 2009 from less than Rs 200 crore in September 2008 due to the high volatility in the currency market. Of this, Rs 3,260 crore is accounted for by the NSE and the rest by the MCX-SX. In the six months from September 2008 to March 2009, the rate of growth of business at NSE has been 1,641%. The growth rate for MCX-SX has also been 780%. This is also the reason government-owned MMTC, one of India ’s biggest trading firms, has become the fourth company to launch a currency futures market, even before it could set up a commodity exchange that it announced in June 2008. The new exchange would be the fourth such venture in less than two years after NSE, BSE and MCX-SX.

The SEBI has raised the gross open market position limits in currency derivatives segment. The modified limits will come into effect from 25 March. Turnover and open interest in currency futures on MCX-SX and the NSE surged sharply on 24 March. According to a SEBI circular, the gross open interest position limit of a client has been enhanced up to $10 million or 6% of the open interest, whichever is higher. Earlier, this was 6% of the total open interest or $5 million. For non-bank trading members the gross open position across all contracts was increased up to 15% of the total open interest (OI) or $50 million, whichever is higher. This limit was earlier up to 15% of the total OI or $25 million, whichever is higher. The position limit for trading members, which are banks, was kept unchanged. The revision in the gross position limits of the client and non-bank trading member have been carried out by the market regulator following the recommendation of a technical standing committee of the RBI and SEBI.

 

Commodities Futures derivatives

National Commodities and Derivatives Exchange (NCDEX), which is trying to step up volume in bullion trading, has reduced the open position limits in gold futures for both brokers and individual traders by over 66% to 6 tonne and 2 tonne, respectively. Earlier on the NCDEX platform, large brokers had exposure in gold up to 18 tonne including all gold contracts, which has now been reduced to 6 tonne, or 15%, of OI. For small traders, open position limit has been revised from 6 tonne to 2 tonne including all gold contracts, or 15%, of OI. The revised limits are effective from 24 March on all gold variants --gold 1 kg, gold international and gold 100 gram. The exchange has made changes as per the directives received from the market regulator Forward Markets Commission (FMC). Any new variants of gold contracts will also be included for calculation of said limits. Bullion experts opine that, the NCDEX move may fail to encourage brokers and small traders, as they will have less exposure to gold now. Gold volumes on the NCDEX stood at 6,755 tonne in the second fortnight of February, while on the MCX, its competitor, volumes soared to 8.18 lakh tonne.

Base metals exhibited good movement on 26 March on the back of strong rally in the stock markets and a slide in dollar against major currencies and the rupee. However, a firmer rupee prevented metals on domestic bourses from reflecting similar gains that were witnessed on London Metal Exchange (LME). There was an unexpected jump in the monthly new home sales data from the US that revived the hope for base metals demand. The fall in dollar versus currencies such as yen, euro, etc, contributed to the metal rally.

Public Finance

According to the latest press note revenue receipts as on February 2009 works out to be 79 per cent of the actual to revised estimates at Rs. 437,397 crore with the receipts under net tax revenue reaching to Rs. 356,390 crore and non-tax revenue Rs.81, 007 crore.

With total expenditure reaching 83.1 per cent of the revised estimates, fiscal deficit till date works out to be Rs.307, 133 crore. Market borrowings at Rs.300255 crores financed about 98 per cent of the fiscal deficit.

Banking

India ’s largest home loan financer, HDFC has slashed its prime lending rate (PLR) for retail borrowers by 50 basis points. The move will benefit all existing HDFC customers who have borrowed at floating rates. HDFC has a share of about 40% of new home loans approved every year. This is the second time in three months that it has reduced its retail PLR.

The Supreme Court will be finalising its decision in the month of September regarding the petition challenging the imposition of “professional tax” on ATMs and extension counters of banks. State Bank of Hyderabad has sought the apex court’s intervention in deciding whether ATMs and extension counters established by banks at various places would be separate assesse for levying of professional tax.

Central Bank of India and Andhra Bank have reduced the benchmark prime lending rates (B-PLR) by 50 and 25 basis points respectively from April 1, 2009. Central Bank has reduced its B-PLR by 50 bps to 12% while Andhra Bank by 25 bps to 12.25% from 12.50%.

Corporate

Tata Motors is looking to set up a truck manufacturing plant in Myammar with support from the Indian government in the form of financial participation. This will be the first foray by an Indian automobile company in the military-controlled country. Tata Motors has a plant in Thailand which produces pick-up trucks.

Surya pharmaceutical is venturing into healthcare retail and is planning to open around 500 outlets in the next three years. This venture will require investment of Rs 250 crore. The company forecast that it will achieve a turnover of Rs 800 crore by 2011. Along with organic growth the company is planning to acquire two pharmaceutical companies.

Essar Energy Overseas Ltd., a subsidiary of Essar Oil, is acquiring 50% stake in Kenya ’s only refinery in Mombasa . It will buy stake from Shell Petroleum, Chevron Global Energy Inc and BP Africa. Kenyan government is holding the remaining 50% stake.  This refinery has a capacity of 4-million tonnes a year. Essar will upgrade the refinery at a cost of $400-450 million.

V-Guard Industries has entered into manufacturing power cables by setting up two plants at Coimbatore and Uttaranchal respectively to capture a sizeable chunk of the over Rs 8,000 crore cable market in India. The company is also setting up a new plant in Himachal Pradesh to manufacture electric water heaters.

State refiner Indian Oil (IOC) has received the government’s approval for merger of Bongaigaon Refinery and Petrochemicals Ltd with itself. IOC owns around 74% in BRPL.

GE-Hitachi Nuclear Energy, a joint-venture of GE and Japan ’s Hitachi has signed two separate agreements with the Nuclear Power Corporation of India and BHEL for designing and building multiple nuclear reactors.

Nigeria has short-listed GAIL India to develop Africa ’s natural gas reserves. GAIL featured in the list of 15 companies that Nigeria has short-listed for increasing gas production to boost supply to its crippled power sector.

FMCG major Tata Tea is negotiating with the European Bank of Reconstruction and Development (EBRD) to acquire 51% of Grand, a branding, packing and distribution company in Russia . This deal, subject to the fulfillment of various conditions, will see the beverage group of companies enter Russia , a market where coffee is becoming increasingly popular and tea is a national beverage.

GAIL India has planned an investment of Rs 1,000 crore for setting up 2,000 CNG dispensing stations on major national highways to create a CNG Quadrilateral.

Garment manufacturer Bombay Rayon Fashions is raising Rs 333 crore by issuing shares to the Netherlands-based AAA United BV on a preferential basis for funding new projects and businesses.

External Sector

Exports during February 2009 were valued at US$ 11931 million which was 21.7% lower than that in Februry 208 as a result during the fiscal year so far the total exports at US$156597 million registered a growth of 7.3% over that of US $ 145878 million reported in the comparable period last year.

Imports during February were valued at US $ 16823 million, a decrease of 23.3 per cent over that of US$ 21934 million in February 2008 and the cumulative import at US$ 271687 million was 19.1% more than that of US $ 228081 during April- February 2007-08.

Trade balance during February thus worked out to be $ 4910 as compared to $6714 in 2008. The cumulative trade balance for April-February 2008-09 estimated at US $ 115090 million was 1.4 times to that of US $ 82203 million during April-February 2007-08.

While oil imports during the current fiscal year so far gone up from US $ 70704 million in April-February 2007-08 to US $ 89684 million, that of non-oil imports accelerated by 15.6% to US $ 182003 million.

Information Technology

One of the country’s largest BPO firm Genpact is planning to open delivery centre in the US to service high-end projects of its clients. This is a detour from the current trend where IT companies are trying to cut their onsite presence to save costs. The company already has four centres in the US .

BK Modi-owned Spice Group, engineering major L&T and Tech Mahindra have been short-listed by the board of fraud-hit Satyam Computer Services for the next level of the bidding process. The short-listed companies will now be given access to certain business, financial and legal information on Satyam to decide on a bid price, provided they sign a non-disclosure and non-solicitation agreement, a stand-still pact and a no-claims undertaking.

Telecom

State-owned BSNL has decided to lease its passive infrastructure in the semi-urban area to other telecom companies as the large tower base of BSNL, over 60,000 towers, will bring more revenue for the company and lead to full utilisation of the towers. BSNL has more towers in Tier II and Tier III cities with under utilized capacity while the private service providers have less spread of towers in the semi-urban areas as compared to BSNL. The agreement for leasing will be on bilateral basis. It’s a win-a-win situation, as leasing of towers will be generating additional revenue for BSNL and on the other hand the players will get an opportunity to broaden their presence where they don’t have infrastructure to support their services. 

Recently, Tata Communications and Tata Power have sold stake in Tata Teleservices (TTSL) to Japanese telecom company NTT DoCoMo. According to the deal DoCoMo will be acquiring 26% stake in TTSL of which 20% will come from a fresh issue of shares and 6% will come from buying stake from Tata group companies. Tata Communications has sold 1% stake in TTSL for Rs 424 crore and Tata Power sold part of its holding in TTSL for Rs 317 crore. TTSL will be using the funds for expanding its network and up gradating 3G services in rural areas.

Tata Teleservices has moved to Supreme Court challenging the levy of around Rs 30 crore value added-tax by the Andhra government. The company has challenged the Andhra High Court order that asked it to pay one-third of the Rs 30 crore, the alleged tax liability, before granting a stay on the recovery of the remaining amount.

Etisalat, which holds a minority stake in Swan Telecom, is planning to invest $1 billion in India .

 

Macroeconomic Indicators

Table 1 : Index Numbers of Industrial Production (1993-94 =100)

Table 2 : Production in Infrastructure Industries (Physical Output Series)

Table 3: Procurment, Offtake and Stock of foodgrains

Table 4: Index Numbers of  Wholesale Prices (1993-94 = 100)

Table 5 : Cost of Living Indices

Table 6 : Budgetary Position of Government of India

Table 7 : Government Borrowing Programmes and Performance

Table 8 : Scheduled Commercial Banks - Business in India  

Table 9 : Money Stock : components and Sources

Table 10 : Reserve Money : Components and Sources

Table 11 : Average Daily Turnover in Call Money Market

Table 12 : Assistance Sanctioned and Disbursed by All-India Financial Institutions

Table 13 : Capital Market

Table 14 : Foreign Trade

Table 15 : India's Overall Balance of Payments

Table 16 : Foreign Investment Inflows  
Table 17 : Foreign Collaboration Approvals (Route-Wise)
Table 18 : Year-Wise (Route-Wise) Actual Inflows of Foreign Direct Investment (FDI/NRI)

Table 19 : NRI Deposits - Outstandings

Table 20 : Foreign Exchange Reserves

Table 21 : Indices REER and NEER of the Indian Rupee

Table 22 : Turnover in Foreign Exchange Market  
Table 23 : India's Template on International Reserves and Foreign Currency Liquidity [As reported under the IMFs special data dissemination standards (SDDS)
Table 24 : Settlement Volume and Netting Factor for Government Securities Transactions Settled at CCIL - Monthly, Quarterly and Annual Basis.
Table 25 : Inter-Catasegory Distribution of All Types of Trade in Government Securities Settled at CCIL (With Market Share in Respective Trade Types) 
Table 26 : Settlement Volume and Netting Factor for Total Forex Transactions Settled at CCIL - Monthly, Quarterly and Annual Basis.
Table 27 : Inter-Category Distribution of Total Foreign Exchange Transactions Settled at CCIL (With Market Share in Respective Trade Types) 

 

Memorandum Items

CSO's Quarterly Estimates of GDP  

GDP at Factor Cost by Economic Activity

India's Overall Balance of Payments: Quarterly

India's Overall Balance of Payments: Annual  

*These statistics and the accompanying review are a product arising from the work undertaken under the joint ICICI research centre.org-EPWRF Data Base Project.

LIST OF WEEKLY THEMES


 

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