CHAPTER-03shodhganga.inflibnet.ac.in/bitstream/10603/4384/11/11_chapter 3.pdfCHAPTER-03 COMMODITY PRICE ANALYSIS 3.1 OVERVIEW 3.2 PRICE CHANGES 3.3 PRICE ANALYSIS OF SELECTED COMMODOTIES

41

CHAPTER-03

COMMODITY PRICE ANALYSIS

3.1 OVERVIEW

3.2 PRICE CHANGES

3.3 PRICE ANALYSIS OF SELECTED COMMODOTIES

42

3.1 OVERVIEW

Stability of commodity prices is necessary for optimal decisions by the producers

and consumers alike. However, the commodity prices are probably more volatile

than any other products resulting in many adverse effects.

The commodity prices have been especially volatile in the last two years, 2008 and

2009, as indicated by the roller-coaster ride of crude oil prices. Even the agricultural

commodity prices have seen wide swings. However, the prices of commodities, in

general, have always been volatile. The trend rise in prices has been attributed to

several reasons.

One, a fundamental change in demand and supply balance. The supply has not kept

pace with the demand. For example, it is premised that the oil being exhaustible in

nature, and with substantial increase in demand, especially from China, India and

other fast developing countries. However, this may not be the whole truth as price

increase, especially in recent times, has been more than the imbalance. Also, the

buffer stocks have been adequate to prevent any unreasonable price rise.

3.2 PRICE CHANGES

3.2.1 TREND PRICE ANALYSIS

Over a long period, all prices rise due to general inflation in the economy and for

several product specific and economy-wide reasons.

The major reason for trend price increase is a fundamental change in demand and

supply balance. If the supply of a product does not keep pace with the demand,

43

prices would rise. The supply has not kept pace with the demand for most

commodity products.

The increase in demand is due primarily to increase in population and increase in

income, apart from change in taste. The income levels are rising faster in countries

with below global average income levels and have higher income elasticity for

commodity consumption-not only agricultural products but also other products, e.g.,

gold and silver. Higher consumption of durable goods requires higher input

requirements of metals. The supply has not kept pace with this income driven

increase in demand, either due to limitations on some inputs, inadequate

investments, or due to the negative intervention of nature.

The second reason is the price rise due to increase in money supply in excess of

requirement for real growth. Since the future real growth cannot be predicted in

advance, the ex ante expectation of required money supply may not be the same as

ex post requirements. This will result in the general inflation, though the real price

rise may be zero.

However, the trend prices are controlled, especially in recent times, by provisioning

of the buffer stocks, which have been adequate to prevent any unreasonable price

rise.

3.2.2 SEASONAL PRICE CHANGES

The supply of many commodities is seasonal in nature. The seasonal price changes

are common for commodities. Almost all agricultural commodities are produced

only during certain periods of the year, though consumption is uniform over the

year. Seasonality may also arise due to seasonal demand for commodities, for

example, during festive season demand for certain commodities are substantially

higher. Seasonality may arise due to planned and/or unplanned shutdown of

commodity processing units.

44

3.2.3 HIGH FLUCTUATION IN PRICES

The costs of trend price growth are zero (rational expectation models) or small.

Seasonality also has predictable and small welfare costs. It is the unexpected

changes in the prices which result in great welfare loss. High fluctuation in prices is

mainly due to unpredictable and uncontrollable value of one input (e.g., rainfall) and

speculative attacks on the prices.

There has been increase in speculative activity, especially through use of derivative

products. Speculative activity has increased due to increase in uncertainty as well as

wider information asymmetry. Also, the income levels are rising faster in countries

with below world average income levels and have higher income elasticity for

commodity consumption-not only agricultural products but also other products, e.g.,

gold and silver. Higher consumption of durable goods requires higher input

requirements of metals. The supply has not kept pace with the increase in demand,

either due to limitations on some inputs, inadequate investments, or due to the

negative intervention of nature.

The countries are no longer isolated due to worldwide integration of economies.

This has resulted in increased transfer of commodities leading to shortages in

producing countries for products where the world prices are higher than the

domestic prices. Thus, the close integration has its attendant costs, especially felt by

large commodity producers/consumers.

The prices of several commodities over time are analyzed herein. The data is

collected for the period April, 1994 to October, 2009. The data are monthly average

price index for the commodity in India. (A total of 187 data points). These price

indices are nominal in nature. They are normalized by WPI to get a series of real

price indices. Both nominal and real prices are analyzed to understand the behavior

of prices over time.

45

3.3 PRICE ANALYSIS OF SELECTED

COMMODOTIES

Research in this chapter analyzes the price movement of selected commodities over

a period of time. The commodities have been selected from different commodities

groups so that a larger picture of commodity price movement is obtained.

The prices of following products are compiled and analyzed.

3.3.1 SELECTED COMMODITIES

3.3.1.1 Agricultural Products

1. Atta

2. Baja

3. Bhindi

4. Brinjal

5. Cabbage

6. Cashew

7. Coconut

8. What

9. Rice

10. Potato

11. Onion

46

3.3.1.2 Energy Products

1. Electricity

2. LPG

3. Petrol

3.3.1.3 Agricultural Inputs

1. Fertilizers and Pesticides

3.3.1.4 Metals

1. Nickel

2. Copper wire

3. Brass Sheets

4. Iron Ore

5. Zinc

Descriptive statistics for these products are calculated for the entire 15 year period.

The period is then divided in three almost equal 5-year periods and the descriptive

statistics are calculated again for different periods as follows:

1. April, 1994 to June,1999 ( 63 data points)

2. July 1999 to August, 2004 (62 data points)

3. September 2004 to October, 2009 ( 62 data points)

47

The time series plot is for entire 15 year period as well as for current 26 months

period of September 2007 to October, 2009. The plots are for both real data and

nominal data.

The data analysis indicates several important pointers about commodity price

movement.

3.3.2 DESCRIPTIVE DATA

The descriptive statistic is summarized in the table below.

48

TTAABBLLEE--33..11

DDEESSCCRRIIPPTTIIVVEE SSTTAATTIISSTTIICCSS OOFF SSEELLEECCTTEEDD CCOOMMMMOODDIITTYY PPRRIICCEE

IINNDDIICCEESS::

FFOORR TTHHEE PPEERRIIOODD 11999944--22000099 ((1155 YYEEAARRSS))

Mean

Std.

Dev. CV

Skewn

ess

Kurto

sis

Minim

um

Maxim

um

Atta Nominal WPI 177.3 46.56 26.25 0.342 -0.84 99.3 259.7

Atta Real WPI 104.6 9.295 8.884 0.630 0.672 82.61 138.0

Bajra Nominal WPI 187.6 44.45 23.69 0.866 0.488 114.2 322.1

Bajra Real WPI 111.9 12.69 11.34 0.400 0.164 87.18 148.3

Bhindi Nominal WPI 194.0 60.67 31.26 0.495 -0.11 82.80 394.4

Bhindi Real WPI 115.8 30.60 26.40 1.530 4.844 65.88 283.9

Brinjal Nominal WPI 216.0 66.11 30.59 0.531 -0.08 78.30 423.9

Brinjal Real WPI 128.9 30.63 23.76 0.485 -0.25 70.41 214.9

Cabbage Nominal WPI 161.6 70.29 43.48 0.625 0.166 45.10 420.8

Cabbage Real WPI 97.16 40.09 41.26 0.687 0.442 31.36 231.5

Cashew Nominal WPI 134.2 20.17 15.02 0.532 0.296 96.50 192.5

Cashew Real WPI 81.31 9.406 11.56 0.182 -1.00 62.61 101.4

Fresh Coconut Nominal

WPI 127.3 24.06 18.90 -0.259 -0.89 76.40 170.6

Coconut Real WPI 77.66 16.60 21.37 0.731 -0.10 50.91 129.9

49

Wheat Nominal WPI 175.5 39.94 22.76 0.019 -0.66 104.4 254.9

Wheat Real WPI 104.1 8.043 7.719 0.617 -0.06 88.85 125.8

Rice Nominal WPI 163.2 30.52 18.70 0.22 0.07 106.2 243.3

Rice Real WPI 97.92 8.632 8.815 0.719 0.448 84.19 124.3

Potato Nominal WPI 171.5 79.94 46.60 0.855 0.814 58.60 478.5

Potato Real WPI 101.0 40.26 39.84 0.928 0.936 38.35 245.2

Onion Nominal WPI 155.3 76.90 49.49 1.725 4.323 48.00 541.0

Onion Real WPI 92.17 45.08 48.90 3.377 16.04 39.93 389.4

Electricity Nominal WPI 209.3 57.88 27.65 -0.320 -1.49 113.6 281.9

Electricity Real WPI 122.7 14.10 11.48 -0.042 -1.27 94.50 146.3

LPG Nominal WPI 245.0 90.53 36.94 -0.241 -1.45 109.5 402.9

LPG Real WPI 140.7 29.22 20.76 -0.472 -1.28 87.18 183.7

Petrol Nominal WPI 177.7 50.89 28.63 0.386 -1.02 106.5 279.9

Petrol Real WPI 104.3 10.45 10.01 0.346 -0.14 84.79 130.0

Fertilizers & Pesticides

Nominal WPI 154.3 21.09 13.66 -0.178 -1.00 103.3 192.0


Real WPI 93.47 8.943 9.567 -0.463 -0.76 75.02 109.8

Zinc Nominal WPI 148.4 51.14 34.45 1.980 3.617 100.0 350.0

Zinc Real WPI 88.89 22.32 25.10 0.988 1.410 50.71 172.4

Iron Ore Nominal WPI 371.5 392.3 105.6 1.178 -0.02 70.20 1365

50

14

Iron Ore Real WPI 187.5 161.3 86.02 1.013 -0.52 55.89 557.1

Brass Sheets & Strips

Nominal WPI 162.8 68.01 41.77 1.672 1.432 97.50 356.4

Brass Sheets & Strips Real

WPI 95.16 23.61 24.81 1.738 2.643 66.73 175.5

Enameled Copper Wires

Nominal WPI 154.8 53.90 34.80 1.324 0.478 104.6 297.4


real WPI 89.27 16.53 18.51 0.885 -0.03 65.62 129.6

Nickel Alloy Nominal WPI 184.5 114.9 62.26 1.446 0.583 97.90 473.4

Nickel real WPI

103.3

48 41.90 40.54 1.723 1.750 70.21 222.4

Source: Author’s Calculations

51

TTAABBLLEE--33..22


IINNDDIICCEESS::

FFOORR TTHHEE PPEERRIIOODD NNOOVVEEMMBBEERR 22000077 TTOO OOCCTTOOBBEERR 22000099 ((

CCUURRRREENNTT TTWWOO YYEEAARRSS))

Mean

Std.

Dev. CV

Skewn

ess

Kurto

sis

Minim

um

Maxim

um

Atta Nominal WPI 253.9 2.956 1.16 0.057 -0.01 248.0 259.7

Atta Real WPI 107.1 4.557 4.25 0.448 -0.49 101.5 116.7

Bajra Nominal WPI 266.2 34.07 12.7 0.559 -1.49 234.1 322.1

Bajra Real WPI 111.8 10.29 9.20 0.518 -1.29 100.8 129.6


Bhindi Real WPI 116.3 19.67 16.9 0.471 -0.74 87.55 153.4


Brinjal Real WPI 128.0 23.92 18.6 0.472 -0.43 93.04 182.5


Cabbage Real WPI 92.55 32.20 34.7 0.821 1.022 44.48 181.2

Cashew Nominal WPI 165.9 16.80 10.1 0.169 -1.59 143.5 192.5

Cashew Real WPI 69.79 4.475 6.41 0.020 -1.19 62.61 77.48

Fresh Coconut Nominal 148.3 13.67 9.22 -0.506 -1.21 123.0 163.4

52

WPI

Coconut Real WPI 62.55 5.806 9.28 -0.208 -1.05 50.91 70.37


Wheat Real WPI 101.5 2.645 2.60 1.209 1.270 98.04 108.1

Rice Nominal WPI 216.3 17.39 8.04 0.091 -1.72 193.1 243.3

Rice Real WPI 91.04 4.151 4.55 -0.168 -1.36 84.19 97.92


Potato Real WPI 111.9 31.90 28.4 1.140 0.675 71.24 192.5

Onion Nominal WPI 232.0 52.62 22.6 0.239 -0.84 153.3 322.8

Onion Real WPI 97.78 22.12 22.6 0.544 -0.08 66.02 151.6


Electricity Real WPI 116.1 5.711 4.91 0.286 -0.13 108.3 128.1

LPG Nominal WPI 357.6 20.40 5.70 0.520 -0.80 334.8 402.9

LPG Real WPI 150.9 10.63 7.04 0.702 -1.15 141.8 173.5


Petrol Real WPI 105.8 11.16 10.5 -0.025 -1.28 90.23 120.5


Nominal WPI 185.4 5.996 3.23 -1.242 -0.02 173.7 192.0


Real WPI 78.22 2.931 3.74 0.220 -1.95 75.02 81.74

Zinc Nominal WPI 162.4 23.52 14.4 -0.002 -0.54 120.4 210.9

53

Zinc Real WPI 68.82 12.34 17.9 0.556 0.129 50.71 99.10

Iron Ore Nominal WPI 1170 148.2 12.6 -1.014 0.485 827.8 1365.2

Iron Ore Real WPI 492.9 58.90 11.9 -0.501 -1.24 389.0


Nominal WPI 253.0 45.52 17.9 -0.731 -0.68 165.8 315.50


WPI 107.5 23.63 21.9 -0.302 -0.75 66.73 148.26


Nominal WPI 248.5 36.19 14.5 -0.237 -1.20 185.8 297.40


real WPI 105.3 18.65 17.7 -0.213 -1.47 74.78 129.60

Nickel Alloy Nominal WPI 370.2 61.13 16.5 0.07 -1.12 298.8 473.40

Nickel real WPI

157.3

88 32.94

20.9

32 0.306 -0.67 120.2 222.46


54

TTAABBLLEE--33..33


IINNDDIICCEESS::

FFOORR TTHHEE PPEERRIIOODD SSEEPPTTEEMMBBEERR 22000044 TTOO OOCCTTOOBBEERR 22000099 (( RREECCEENNTT

FFIIVVEE YYEEAARRSS))

Mean

Std.

Dev. CV

Skewn

ess

Kurto

sis

Minim

um

Maxim

um

Atta Nominal WPI 231.4 26.57 11.4 -0.555 -1.47 186.7 259.70

Atta Real WPI 107.9 7.293 6.75 0.771 -0.07 96.38 126.89


Bajra Real WPI 109.3 7.501 6.85 0.984 0.916 96.32 129.64


Bhindi Real WPI 112.9 20.40 18.0 0.194 -0.92 77.34 153.40


Brinjal Real WPI 127.4 25.90 20.3 0.514 -0.10 83.93 196.48


Cabbage Real WPI 91.67 31.53 34.3 0.192 -0.18 36.84 181.22


Cashew Real WPI 73.31 4.967 6.77 -0.450 -0.75 62.61 82.315

Fresh Coconut Nominal 140.9 15.46 10.9 0.456 -1.33 118.8 167.40

55

WPI

Coconut Real WPI 66.21 9.180 13.8 1.395 1.534 50.91 90.535

Wheat Nominal WPI 217.7 23.40 10.7 -0.237 -1.38 180.0 254.90

Wheat Real WPI 101.5 4.399 4.33 0.734 0.889 92.92 115.12

Rice Nominal WPI 192.3 22.35 11.6 0.95 -0.34 168.5 243.30

Rice Real WPI 89.61 3.256 3.63 0.484 -0.49 84.19 97.927


Potato Real WPI 109.3 26.88 24.5 0.840 0.683 65.92 192.59


Onion Real WPI 90.92 27.81 30.5 0.912 0.140 56.45 165.74



LPG Nominal WPI 342.3 18.03 5.26 1.444 2.129 311.0 402.90

LPG Real WPI 160.5 11.34 7.06 -0.426 -0.87 141.8 181.07


Petrol Real WPI 113.1 10.44 9.23 -0.538 0.034 90.23 130.09


Nominal WPI 176.4 8.213 4.65 0.696 -1.09 165.4 192.00


Real WPI 82.71 4.679 5.65 -0.152 -1.03 75.02 89.995

Zinc Nominal WPI 192.8 64.39 33.3 0.795 -0.55 117.0 350.00

56

Zinc Real WPI 90.90 32.39 35.6 0.876 -0.40 50.71 172.41

Iron Ore Nominal WPI 866.5 282.2 32.5 0.201 -1.10 421.9 1365.2

Iron Ore Real WPI 396.4 97.72 24.6 0.032 -0.75 217.8 557.14


Nominal WPI 236.4 73.69 31.1 0.203 -1.51 145.0 356.40


WPI 110.0 33.15 30.1 0.576 -1.04 66.73 175.56


Nominal WPI 216.6 46.52 21.4 0.30 -1.45 152.2 297.40


real WPI 100.6 17.35 17.2 0.527 -1.35 74.78 129.60

Nickel Alloy Nominal WPI 315.1 115.0 36.5 -0.205 -1.24 136.0 473.40

Nickel real WPI

145.3

96 49.95

34.3

55 0.078 -1.17 70.21 222.46


57

TTAABBLLEE--33..44


IINNDDIICCEESS::

FFOORR TTHHEE PPEERRIIOODD JJUULLYY 11999999 TTOO AAUUGGUUSSTT 22000044 ((SSEECCOONNDD 55--YYEEAARR

PPEERRIIOODD OOFF 1155 YYEEAARRSS))

Mean

Std.

Dev. CV

Skewn

ess

Kurto

sis

Minim

um

Maxim

um

Atta Nominal WPI 167.5 13.96 8.33 0.646 -0.81 149.0 198.50

Atta Real WPI 102.7 6.569 6.39 1.029 0.861 92.71 122.11

Bajra Nominal WPI 179.8 22.28 12.3 0.048 -1.26 140.1 216.80

Bajra Real WPI 111.1 18.36 16.5 0.468 -0.94 87.18 148.33

Bhindi Nominal WPI 177.0 38.57 21.7 0.440 0.192 96.50 288.50

Bhindi Real WPI 108.6 23.59 21.7 0.565 0.842 66.90 188.80


Brinjal Real WPI 123.3 29.94 24.2 0.494 -0.78 78.53 202.16

Cabbage Nominal WPI 154.4 58.96 38.1 0.53 -0.38 71.30 307.70

Cabbage Real WPI 95.61 37.99 39.7 0.45 -0.59 44.36 191.47


Cashew Real WPI 80.32 8.743 10.8 1.007 0.021 68.68 101.46


WPI 124.8 24.56 19.6 -0.154 -1.29 84.50 169.70

58

Coconut Real WPI 76.58 15.07 19.6 0.393 -0.61 52.58 110.50

Wheat Nominal WPI 177.3 4.58 2.58 0.949 2.911 164.7 192.60

Wheat Real WPI 109.1 7.379 6.76 0.530 -0.39 96.26 125.80

Rice Nominal WPI 167.9 4.024 2.39 0.605 0.245 161.5 178.80

Rice Real WPI 103.5 8.961 8.65 0.530 0.050 88.31 124.33

Potato Nominal WPI 138.9 59.47 42.7 0.805 -0.40 58.60 286.90

Potato Real WPI 85.01 35.88 42.2 0.873 -0.30 38.35 174.19


Onion Real WPI 81.35 21.19 26.0 0.410 -1.00 50.65 126.13



LPG Nominal WPI 257.4 40.03 15.5 -1.216 0.164 174.6 311.00

LPG Real WPI 157.0 17.67 11.2 -1.271 0.585 114.7 183.72


Petrol Real WPI 99.81 3.719 3.72 -0.590 1.018 89.55 107.84


Nominal WPI 157.1 8.675 5.51 -1.077 0.065 139.1 165.40


Real WPI 96.45 3.362 3.48 -0.988 0.303 89.07 101.63

Zinc Nominal WPI 131.3 20.00 15.2 0.455 -1.42 108.9 168.70

Zinc Real WPI 81.53 17.43 21.3 0.527 -1.42 62.91 112.51

59

Iron Ore Nominal WPI 142.1 73.17 51.4 4.683 22.45 103.8 534.90

Iron Ore Real WPI 86.09 37.57

43.6

46 4.731 22.97 67.93 289.29


Nominal WPI 129.8 7.071 5.44 -0.489 2.511 109.1 145.70


WPI 79.81 5.147 6.44 0.274 -0.75 71.44 89.005


Nominal WPI 121.8 8.509 6.98 0.231 0.064 106.2 145.80


real WPI 74.81 4.654 6.22 -0.608 -0.45 65.62 82.068

Nickel Alloy Nominal WPI

126.0

81 8.706 6.90 1.637 3.790 118.1 156.60

Nickel real WPI 77.34 3.376 4.36 0.013 -0.50 71.51 84.694


60

TTAABBLLEE--33..55


IINNDDIICCEESS::

FFOORR TTHHEE PPEERRIIOODD AAPPRRIILL 11999944 TTOO JJUUNNEE 11999999 ((FFIIRRSSTT FFIIVVEE YYEEAARRSS

OOFF 1155 YYEEAARR PPEERRIIOODD))

Mean

Std.

Dev. CV

Skewn

ess

Kurto

sis

Minim

um

Maxim

um

Atta Nominal WPI 132.2 22.52 17.0 0.178 -1.31 99.30 175.50

Atta Real WPI 103.1 12.21 11.8 0.735 0.146 82.61 138.05


Bajra Real WPI 115.3 8.804 7.62 -0.429 -0.27 97.04 133.10

Bhindi Nominal WPI 161.8 58.57 36.1 1.335 2.749 82.80 394.40

Bhindi Real WPI 125.9 41.35 32.8 1.264 2.288 65.88 283.94


Brinjal Real WPI 136.0 34.61 25.4 0.320 -0.30 70.41 214.90


Cabbage Real WPI 104.2 48.61 46.6 0.685 0.066 31.36 231.53

Cashew Nominal WPI 115.4 10.59 9.17 -0.241 -0.98 96.50 132.60

Cashew Real WPI 90.43 4.088 4.52 -0.155 -0.15 81.36 99.550


WPI 115.9 24.31 20.9 0.234 -1.08 76.40 170.60

61

Coconut Real WPI 90.37 15.04 16.6 0.676 -0.58 68.70 129.93


Wheat Real WPI 101.9 9.258 9.07 0.689 -0.56 88.85 122.77

Rice Nominal WPI 8.827 14.59 11.3 0.664 0.074 106.2 167.30

Rice Real WPI 100.7 4.976 4.93 0.915 1.549 92.67 116.34


Potato Real WPI 108.6 50.28 46.2 0.948 0.291 44.85 245.28

Onion Nominal WPI 136.1 98.11 72.0 2.426 6.186 48.00 541.00

Onion Real WPI 104.2 68.50 65.7 2.433 6.359 39.93 389.48

Electricity Nominal WPI 137.7 16.77 12.1 0.005 -1.25 113.6 166.30


LPG Nominal WPI 133.8 23.55 17.5 0.220 -1.47 109.5 179.40

LPG Real WPI 104.2 11.42 10.9 -0.048 -1.33 87.18 124.75

Petrol Nominal WPI 128.0 19.33 15.1 -0.180 -1.92 106.5 148.30

Petrol Real WPI 99.91 9.389 9.39 -0.329 -1.39 84.79 112.94


Nominal WPI 129.1 7.420 5.74 -1.426 3.182 103.3 139.80


Real WPI 101.4 4.143 4.08 0.131 -0.67 92.89 109.89

Zinc Nominal WPI 120.3 15.11 12.5 0.598 -0.36 100.0 161.00

Zinc Real WPI 94.22 7.789 8.26 1.595 3.481 83.16 122.62

62

Iron Ore Nominal WPI 97.88 20.62 21.0 0.772 -0.12 70.20 137.50

Iron Ore Real WPI 76.69 14.41 18.7 0.226 -1.31 55.89 100.89


Nominal WPI 120.9 7.759 6.41 -0.763 1.007 97.50 136.30


WPI 95.37 9.396 9.85 -0.165 -0.15 73.71 113.39


Nominal WPI 120.0 8.155 6.79 -0.096 -0.75 104.6 134.60


real WPI 92.70 11.34

12.2

37 -0.219 -1.21 72.74 111.98

Nickel Alloy Nominal WPI

110.3

85 7.295 6.60 -0.785

-

0.837 97.90 118.10

Nickel real WPI 86.62 3.013 3.47 -0.268 -0.96 81.53 91.561


63

3.3.3 ANALYSIS

The variability of price indices is substantial across all the commodities. However,

the real prices have remained stable for most commodities and even declined for

some commodities. Iron ore prices are the only one which has shown substantial

real increase.

3.3.3.1 Growth of Real Prices

The average compounded real annual growth rate, over the period 1994-2009,

was highest at 11.2 percent for iron ore, 7.5 percent for potato 5.6 percent for

onion and 2.4 percent for LPG. For most other products, real increase was

marginal. (However, this may also be due to control over prices for some

products.)

However, the scenario is very different if one considers the last five year period

from 2004 to 2009. Compounded annual growth rate for iron ore was 38.7

percent, for nickel 7.2 percent, for copper wire 7.4 percent, for bajra 7.2 percent,

for most vegetables 7 to 31 percent and for rice 1.8 percent. In contrast, real

wheat prices remained constant in this period.

One can surmise that the commodity prices have a low trend growth over a

longer period, the additional supply able to meet the additional demand except

for the metals. However, as the income grew at a sustained pace, in recent years,

the supply has not been able to keep pace with the demand. The high real price

rise for most agricultural commodities and other commodities are unlikely to

revert back to lower level as the growth rates are likely to remain at a higher

level for at least the next couple of decades. The conclusion is evident: Need for

productivity growth and/or newer and better technologies are a must. This

could only happen if there is a proactive investment in newer technologies and

policies.

64

3.3.3.2 Coefficient of Variation

The variability of price indices is substantial across all the commodities even

when the real prices have remained stable (for most commodities and even

declined for some commodities).

Average Coefficient of variation over a fifteen year period is 29.58. The same was

38.10 in the recent five years of 2004 to 2009, 20.98 in the period 1999-2004,

and 23.68 in the period 1994-1999. In the most recent two years, coefficient of

variation was 27.54. The coefficient of variation has remained high, but within a

narrow range. However, in the last five years, it has substantially risen, an

average rising by almost 27 percent over a longer period average. Not only real

prices have increased in the last five years, variability has also increased

substantially.

Coefficient of variation is highest for the iron ore (86.02) followed by onions

(48.909), nickel (40.5) and potato (39.8). Wheat (7.7) and rice (8.8) have the

lowest coefficient of variation over the 15-year period. Bajra (11.3) also has

relatively low coefficient of variation.

High coefficient of variation is a pointer for a need for risk management and for

products and markets.

65

TTAABBLLEE--33..66

CCOOMMAAPPRRIISSOONN OOFF CCOOEEFFFFIICCIIEENNTT OO VVAARRIIAATTIIOONN FFOORR CCOOMMMMOODDIITTYY

PPRRIICCEE IINNDDIICCEESS

((11999944 TTOO 22000099))

Sr.

No.

Product-Index

WPI

Real

Coefficient

Of

Variation

Sr.

No.

Product-Index

WPI

Nominal

Coefficient

Of

Variation

1 Wheat 7.719 1 Fertilizer 13.664

2 Rice 8.815 2 Cashew 15.027

3 Atta 8.884 3 Rice 18.7

4 Fertilizers-Pesticides 9.567 4 Coconut 18.901

5 Petrol 10.018 5 Wheat 22.76

6 Bajra 11.343 6 Bajra 23.69

7 Electricity 11.485 7 Atta 26.253

8 Cashew 11.568 8 Electricity 27.654

9 Copper Wires 18.518 9 Petrol 28.63

10 LPG 20.768 10 Brinjal 30.598

11 Coconut 21.376 11 Bhindi 31.266

12 Brinjal 23.763 12 Zinc 34.457

13 Brass Sheets & Strips 24.815 13 Copper 34.809

14 Zinc 25.109 14 LPG 36.943

15 Bhindi 26.408 15 Brass 41.774

16 Potato 39.841 16 Cabbage 43.487

17 Nickel 40.545 17 Potato 46.6

18 Cabbage 41.268 18 Onion 49.493

19 Onion 48.909 19 Nickel 62.262

20 Iron Ore 86.02 20 Iron Ore 105.614

(Source: Author’s Calculations)

66

Above table shows that the coefficient of variation is higher for metals

compared to agricultural products. It is highest for iron ore, both for real

price and nominal price. From among agricultural products, potato and

onions show the highest COV. In fact for onions COV is almost 50 percent, for

both real and nominal prices, indicating very high variability and hence the

risk. Similarly, potato has about 40 percent and 46 percent COV for real and

nominal price respectively.

As against that the cereals have low COV. Both rice and wheat and even bajra,

have low price risk.

COV is higher for nominal prices compared to real prices. Inflation increases

variability.

67

TTAABBLLEE--33..77

CCOOMMAAPPRRIISSOONN OOFF MMAAXXIIMMUUMM TTOO MMIINNIIMMUUMM PPRRIICCEE FFOORR

CCOOMMMMOODDIITTYY PPRRIICCEE IINNDDIICCEESS

((11999944 TTOO 22000099))

Sr.

No.

Product-Index

WPI

Real

Maximum to

Minimum

Price Ratio

Sr.

No.

Product-Index

WPI

Nominal

Maximum to

Minimum Price

Ratio

1 Wheat 1.42 1 Fertilizers and

Pesticides

1.86

2 Fertilizers and

Pesticides

1.46 2 Cashew 1.99

3 Rice 1.48 3 Fresh Coconut 2.23

4 Petrol 1.53 4 Rice 2.29

5 Electricity 1.55 5 Wheat 2.44

6 Cashew 1.62 6 Electricity 2.48

7 Atta 1.67 7 Atta 2.62

8 Bajra 1.70 8 Petrol 2.63

9 Copper Wire 1.97 9 Bajra 2.82

10 LPG 2.11 10 Copper Wire 2.84

11 Coconut 2.55 11 Zinc 3.50

12 Brass-Strip & Sheet 2.63 12 Brass-Strip & Sheet 3.66

13 Brinjal 3.05 13 LPG 3.68

14 Nickel 3.17 14 Bhindi 4.76

15 Zinc 3.40 15 Nickel Alloy 4.84

16 Bhindi 4.31 16 Brinjal 5.41

17 Potato 6.40 17 Potato 8.17

18 Cabbage 7.38 18 Cabbage 9.33

19 Onion 9.75 19 Onion 11.27

68

20 Iron Ore 9.97 20 Iron Ore 19.45

(Source: Author’s Calculations)

3.3.3.3 Skewness

Skewness measures the asymmetry of the probability distribution of the variable

under study.

Over a fifteen year period, skewness is observed to be high for most products, being

positive (i.e., positively skewed) for 17 out of 20 products under study. Skewness is

as high as 3.37 for onions and 1.73 for brass and nickel. Skewness for wheat is 0.62

and for rice 0.72. It is almost 1 for iron ore. High positive skewness is indicative of

the fact that larger number of value are lying on the higher side of the mean value.

If recent two year data are analyzed, metal group has shown a negative skewness,

whereas the highest skewness is for wheat (1.01). For the recent five years,

skewness is the highest for bajra (0.984), where for wheat it is 0.734. Within metal

group, zinc has the highest (0.726) skewness. Onion (0.91) and potato (0.84) also

had high skewness. Petrol, electricity and LPG had negative skewness; however that

may be due to controlled prices. It may also be due to the fact that during the period

the crude oil prices had sporadic high values, raising the mean.

Individual Price Movements:

Nominal wheat price has grown with the inflation rate, keeping real prices

nearly constant over a 15 year period. The same is true for wheat. Both have

coefficient of variation of around 20. But the frequency of movement is high.

Potato and onions, both, have the highest variation in prices. Standard deviation

is almost 50 percent for nominal price and 40 percent for potato and 50 percent

for onion real prices. Both standout as the products with probably the highest

price fluctuations among all agricultural products.

Real atta prices have been fluctuating with a small upward trend. Except a few

outliers, real prices have fluctuated within ±10 % range.

69

Bajra prices have fluctuated with higher volatility and have shown higher

upward trend. Standard deviation is about 23 per cent for nominal price and

more than 11 per cent for real price. Need for risk mitigation is high.

Bhindi prices have remained more or less static over the period though has

shown considerable variation with low amplitude but high frequency,

Brinjal, unlike Bhindi, have shown small upward movement over time. Prices

have remained more or less static over the period though has shown

considerable variation with low amplitude but high frequency,

Coconut prices have in fact declined over time in real terms. It also has lower

price variation. In the case of coconut, real income of producers is likely to have

declined over time.

3.3.3.4 Conclusions

Overall, it may be surmised that the most commodities have experienced positive

and high skewness, many exceeding 1.0. The prices have not been symmetric and in

most cases higher than the mean.

Hence, though real prices may not have increased much, or even declined, the true

values are generally higher than the mean and also there is a large dispersion as

shown by the coefficient of variation.

The real increase in prices is substantial in recent years. The increase is across the

commodities, indicating large income effect (since population growth rates are

declining). The most increases are in metal group followed by vegetables (in the

sample of this study).

The variability is much higher for metals as a group. Among agricultural products,

vegetables have the highest variability and the cereals the lowest. Wheat and rice

have particularly low COV. This is indicator of dispersion in sources of supply, more

regionality for vegetables because of its perishabiity and more competitive market

nature for cereals. The government should be more vigilant about the vegetables,

especially onions and potato.

Documents

CHAPTER-03shodhganga.inflibnet.ac.in/bitstream/10603/4384/11/11_chapter 3.pdfCHAPTER-03 COMMODITY PRICE ANALYSIS 3.1 OVERVIEW 3.2 PRICE CHANGES 3.3 PRICE ANALYSIS OF SELECTED COMMODOTIES