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Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

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Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin. Forecasting in Agriculture. Consider, this information for Illinois farmers over 1975-2001. Fundamental Analysis. - PowerPoint PPT Presentation

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Page 1: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

Grain Marketing: Getting Back to the Fundamentals

Darrel L. Good

Scott H. Irwin

Page 2: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

22

Forecasting in Agriculture

Consider, this information for Illinois farmers over 1975-2001

Corn Soybeans

Average price $2.16/bu. $5.85/bu.

66th percentile $2.44/bu. $6.25/bu.

Revenue gain $39.99/acre $17.68/acre

Page 3: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

33

Fundamental Analysis

• Definition: An assessment of price based on the underlying supply and demand factors and the changes in those relationships

• Motivated by economic theory of supply and demand– The task of the market is to establish a price that will

“clear” the market

• Fundamental analysis can be thought of as the process of anticipating the market clearing price

Page 4: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

44

Fundamental Analysis

• Techniques: Subjective judgement to sophisticated statistical models

• Goal: Estimate “fundamental value” and compare to market price– Bullish: Value > Price– Bearish: Value < Price

Page 5: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

55

Price Making Forces in the Corn Market

• Acreage• Yield• Weather• Exchange rates• Consumer income• Government policies• Foreign grain

production

• Livestock numbers• Interest rates• Consumer income• Feeding rates• Livestock prices• Trade agreements• World economic

growth

Page 6: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

66

Balance Sheets

• Most popular tool used in fundamental analysis of crop prices

• Unit of analysis is a marketing year• Constructed for a particular country, region or

the entire world– Build supply side first– Then build consumption, or use, side– Price ties both sides together by rationing

available supplies to competing uses

Page 7: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

77

Economic Model Underlying Balance Sheets

Demand

Quantity

Price S0

Q0

P0

Page 8: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

88

Balance Sheet Format for Corn

Beginning Stocks

+ Production

+ Imports

= Total Supply

Feed and Residual

+ Food, Seed and Industrial

+ Exports

=Total Consumption (Use)

Ending Stocks =Total Supply – Total Consumption

Page 9: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

99

Balance Sheet Format for Soybeans

Beginning Stocks

+ Production

+ Imports

= Total Supply

Crush

+ Exports

+ Food, Seed and Residual

=Total Consumption (Use)

Ending Stocks =Total Supply – Total Consumption

Page 10: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1010

Forecasting Calendar for 2004/2005 Corn Balance Sheets

• Fall 2003: First forecasts of supply and use for 2004-2005 marketing year– Typically based on trend forecasts, recent history

and basic economic relationships

• Spring 2004: Update supply forecasts based on USDA acreage surveys

• Summer 2004: Update supply forecasts based on weather and USDA crop reports

Page 11: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1111

Forecasting Calendar for 2004/2005 Corn Balance Sheets

• Fall 2004-Summer 2005: – Continue to update supply forecasts based

on USDA crop reports (Aug-Nov, Jan)– Update use forecasts based on:

• Export sales and inspections reports• Quarterly USDA stock estimates• Livestock numbers• Monthly processing reports

Page 12: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1212

WASDE Balance Sheet Estimates from the USDA

• WASDE: World Agricultural Supply and Demand Estimates

• Cover all major commodities• Separate balance sheets maintained for over

90 countries!• Numerous agencies within USDA participate

in “consensus” process• Serve as the benchmark balance sheet

estimates for nearly all market participants

Page 13: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1313

Constructing Early Season 2004/2005 Balance Sheets for

Corn

• The first WASDE estimates will not be released until May 2004

• We will use simple trend projections and last year’s values as our starting point

Page 14: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1414

Balance Sheet Format for Corn

Beginning Stocks

+ Production

+ Imports

= Total Supply

Feed and Residual

+ Food, Seed and Industrial

+ Exports

=Total Consumption (Use)

Ending Stocks =Total Supply – Total Consumption

Price = ???

Page 15: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1515

Ending Stocks and Price

• Ending stocks indicate the relative balance between supply and demand– Ending stocks high, price low– Ending stocks low, price high

• Relationship between ending stocks and price is often used to forecast prices

Page 16: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1616

Corn Ending Stocks and Price, 1975/76-2003/04*

*2003/04 ProjectedSource: USDA

-

1,000

2,000

3,000

4,000

5,000

6,000

1975/76 1981/82 1987/88 1993/94 1999/00

En

din

g S

tock

s (m

il. b

u.)

1.00

1.50

2.00

2.50

3.00

3.50

Pri

ce (

$/b

u.)

Stocks

Price

Page 17: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1717

US Corn Ending Stocks/Total Use, 1975/76-2003/04*

Source: USDA

*2003/04 Projected

0

10

20

30

40

50

60

70

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

En

din

g S

tock

s/T

ota

l Use

(%

)

Page 18: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1818

Graphical View of Corn Market

QDt

Quantity

Price

Qt

Pt

QSt

Page 19: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

1919

Adding Shifter Variables

• In the simple model, there is only one equilibrium because nothing ever changes!

• In reality, we know that:– Demand curves shift due to changes in the price

of substitutes, income and other variables– Supply curves shift due to changes in the price of

inputs, technology and other variables

• Key point: Changing equilibrium prices and quantities are driven by changes in the level of “shifter variables”

Page 20: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2020

Graphical View of Model with a Single Demand Shifter (Income)

QDt (It level 1)

Quantity

Price

Q1t

P1t

QSt

QDt (It level 2)

P2t

Q2t

Page 21: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2121

Model with A Demand Shifter (Income) and Supply Shifter (Fertilizer Price)

QDt (It level 1)

Quantity

Price

Q1t

P1t

QSt (Ft level 1)

QDt (It level 2)

P2t

Q2t

QSt (Ft level 2)

Page 22: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2222

Corn Price and Ending Stocks/Use, 1975/76-2003/04*

Source: USDA

*2003/04 Projected

1.50

2.00

2.50

3.00

3.50

0 10 20 30 40 50 60 70

Stocks/Total Use (%)

Pri

ce (

$/b

u.)

Page 23: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2323

Corn Price and Ending Stocks/Use, 1975/76-2003/04: Linear Model*

Source: USDA

*2003/04 Projected

y = -0.0104x + 2.5865

R2 = 0.159

1.50

2.00

2.50

3.00

3.50

0 10 20 30 40 50 60 70

Stocks/Total Use (%)

Pri

ce (

$/b

u.)

Page 24: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2424

Logical Characteristics of Relationship Between Price and Stocks

• As ending stocks approach zero, theoretically, there is no upper limit for price

• As ending stocks get very large, price is unlikely to go below some minimum “reservation” level

Page 25: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2525

Theoretical Functional Form Between Price and Ending Stocks

Price

Ending Stocks/Use

Page 26: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2626

Corn Price and Ending Stocks/Use, 1975/76-2003/04: Reciprocal Model*

Source: USDA

*2003/04 Projected

1.50

2.00

2.50

3.00

3.50

0 10 20 30 40 50 60 70

Ending Stocks/Total Use (%)

Co

rn P

rice

($

/bu

.)

y=5.85(1/x) + 2.00R2=0.27

Page 27: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2727

Different Approaches to Account for Shifts in Relationship

• Include shifter variables directly in the pricing model and estimate one model for the entire sample period

• Estimate separate pricing models for sub-periods– The level of shifter variables is assumed to be

relatively constant within a sub-period

Page 28: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2828

Corn Price and Ending Stocks/Use, 1989/90-1997/98*

Source: USDA

1.50

2.00

2.50

3.00

3.50

0 10 20 30 40 50 60 70

Stocks/Total Use (%)

Pri

ce (

$/b

u.)

Red = 1989/1990-1997/1998

Page 29: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

2929

Corn Price and Ending Stocks/Use, 1989/90-1997/98: Reciprocal Model*

Source: USDA

1.50

2.00

2.50

3.00

3.50

0 5 10 15 20 25 30

Ending Stocks/Total Use (%)

Co

rn P

rice

($

/bu

.)

y=6.89(1/x) + 1.90R2=0.96

Page 30: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3030

Corn Price and Ending Stocks/Use, 1989/90-2003/04: Reciprocal Model*

Source: USDA

*2003/04 Projected

1.50

2.00

2.50

3.00

3.50

0 5 10 15 20 25 30

Ending Stocks/Total Use (%)

Co

rn P

rice

($

/bu

.)

y=6.89(1/x) + 1.90R2=0.96

1998/992000/01

1999/00

2001/022003/04

2002/03

Page 31: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3131

Corn Price and Ending Stocks/Use, 1989/90-2003/04: Reciprocal Models*

Source: USDA

*2003/04 Projected

1.50

2.00

2.50

3.00

3.50

0 5 10 15 20 25 30

Ending Stocks/Total Use (%)

Co

rn P

rice

($

/bu

.)

y=6.89(1/x) + 1.90R2=0.96

1998/99

2000/011999/00

2001/02y=12.18(1/x) + 1.22R2=0.91

2003/04

2002/03

Page 32: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3232

What Changed During the Last Six Marketing Years?

• All else equal, supply shifted to the right• Or, demand shifted to the left

– FSI demand?– Export demand?– Feed demand?– Stock demand?

• Some combination of supply and demand shifts

Page 33: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3333

US Planted and Harvested Corn Acreage, 1975/76-2003/04

Source: USDA

45,000

50,000

55,000

60,000

65,000

70,000

75,000

80,000

85,000

90,000

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Acr

eag

e (

tho

usa

nd

s)

Planted

Harvested

Page 34: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3434

Difference Between US Planted and Harvested Corn Acreage, 1975/76-2003/04

Source: USDA

6,000

7,000

8,000

9,000

10,000

11,000

12,000

13,000

14,000

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Acr

eag

e (

tho

usa

nd

s)

1990/91-2003/04 average w/out 1993/94 & 2002/03 = 7,006

Page 35: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3535

Factors Affecting Acreage Decisions

• Economic theory suggests the following variables are important in farmer's acreage decisions,– Expected product price– Expected price for products that substitute in

production– Input prices– Technological change– Risk– Government programs– Lagged effects

Page 36: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3636

Ratio Indicators

• Given the complexities, analysts often combine variables into ratios that provide important “indicators” for supply decisions

• For crops, one of the most widely-followed is the ratio of soybean to corn prices

• Corn and soybeans “compete” for the same resources in production

• Opportunity cost concept

Page 37: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3737

Soybean-Corn Price Ratio

• Indicator of incentives to switch acreage between soybeans and corn

• Key is the breakeven ratio (BEPR)– Ratio that equates the expected net returns from

producing corn and soybeans– 2.5 typically is assumed BEPR– Assumes constant relative level of production

costs and yields

Page 38: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3838

Annual Average Soybean/Corn Price Ratio in the US, 1975/76-2003/04

Source: USDA

1.50

2.00

2.50

3.00

3.50

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Rat

io o

f S

oyb

ean

-to

-Co

rn P

rice

Soybean production favored relative to corn

Corn production favored relative to soybeans

*2003/04 Projected

Page 39: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

3939

Change in Corn Acreage Share and Soybean/Corn Price Ratio, 1996/97-

2003/04

y = -5.2322x + 12.717

R2 = 0.6849

-2.5

-2.0

-1.5

-1.0

-0.5

0.0

0.5

1.0

1.5

2.0

2.5

2.00 2.10 2.20 2.30 2.40 2.50 2.60 2.70 2.80 2.90 3.00

Ratio of Soybean-to-Corn Price

Ch

ang

e in

Co

rn A

crea

ge

Sh

are

(%)

Page 40: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4040

The Relative Level of Government Price Support

• 2000:– National average loan rate for soybeans $5.26/bu.– National average loan rate for corn $1.89/bu.– Ratio: 2.78, soybean production clearly

encouraged relative to corn

• 2004:– National average loan rate for soybeans $5.00/bu.– National average loan rate for corn $1.95/bu.– Ratio: 2.56, soybean production slightly

encouraged relative to corn

Page 41: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4141

Limitations of Soybean-Corn Price Ratio

• Profitability of soybeans and corn can change due to:– Price of soybeans rising relative to corn, and vice

versa– Input prices for soybeans rise relative to corn, and

vice versa– Technology can improve for soybeans relative to

corn, and vice versa

Page 42: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4242

USDA Acreage Surveys

• Another alternative approach is to directly survey farmers about their planting intentions

• USDA surveys farmers about acreage planting intentions in March and June

• Since the USDA acreage surveys are so widely followed, it is important to examine the accuracy of these intentions

Page 43: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4343

March USDA Planting Intentions and Actual Planted Corn Acreage, 1975/76-

2003/04

Source: USDA

50,000

55,000

60,000

65,000

70,000

75,000

80,000

85,000

90,000

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Year

Acr

eag

e (

tho

usa

nd

s)

Actual

March Intentions

*2003/04 Projected

Page 44: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4444

June USDA Planting Intentions and Actual Planted Corn Acreage, 1975/76-

2003/04

Source: USDA

50,000

55,000

60,000

65,000

70,000

75,000

80,000

85,000

90,000

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Year

Acr

eag

e (

tho

usa

nd

s)

Actual

June Intentions

*2003/04 Projected

Page 45: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4545

Error for March and June Planting Intentions for US Corn Acreage,

1975/76-2003/04

Source: USDA

*2003/04 Projected

-5,000

-4,000

-3,000

-2,000

-1,000

0

1,000

2,000

3,000

4,000

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Year

Err

or

(th

ou

san

d a

cres

)

March

June

- = Overestimate of Acreage

+ = Underestimate of Acreage

Page 46: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4646

Error for March Planting Intentions for US Corn Acreage, 1975/76-2003/04

Source: USDA

*2003/04 Projected

-5,000

-4,000

-3,000

-2,000

-1,000

0

1,000

2,000

3,000

4,000

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Err

or

(th

ou

san

d a

cres

)

1975/76-1989/90 Average = + 482

1990/91-2003/04 Average = -753

Page 47: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4747

Conclusions

• Overall, evidence suggests that USDA acreage surveys provide good forecasts of actual planted acreage

• Typically, only small changes in corn and soybean planted acreage forecasts after the USDA releases the June acreage survey

Page 48: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4848

Early Forecasts of Yield

• Consider this question: Previous to about June 1, what information do we have that is useful for predicting corn and soybean yields?

• During this period, we have little or no current information that is relevant to predicting yield

• We will have to rely on past history of yields as our best data for forecasting at this point

Page 49: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

4949

US Corn Yields, 1975/1976-2003/04: Linear Trend

Source: USDA

*2003/04 Projected

y = 1.7294x + 88.417

R2 = 0.6529

80

90

100

110

120

130

140

150

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Yie

ld (

bu

./acr

e)

Page 50: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5050

Early Season Production Forecasts

• Combine:– Planted acreage forecast– Harvested acreage forecast– Trend yield forecast

Page 51: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5151

Improving on Trend Yield Forecasts

• More accurate yield forecasts can be generated as the following information becomes available,– Planting dates– Crop conditions– Rainfall– Temperature– Disease– Insect infestations

Page 52: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5252

A Timeline for Corn Yield Forecasting

• Previous to June 1:– Trend yield forecasts

• June 1 to July 31:– USDA/NASS crop conditions ratings– Statistical models based on temperature, rainfall

and other data• August 1 to November 1:

– USDA/NASS yield forecasts – USDA/NASS crop condition ratings– Statistical models based on temperature, rainfall

and other data

Page 53: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5353

USDA/NASS Forecasts of Corn Yields

• Corn yield forecasts made for the following dates:– August 1 Forecast– September 1 Forecast– October 1 Forecast– November 1 Forecast– January 1 “Final”

Page 54: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5454

Release Schedule

• Reports released to the public about the 10th of each month

• Note that planted acreage estimates are also updated for each report

• Usually, little change in acreage from June planting intentions report, so nearly all of the variation in crop size forecast is due to yields

Page 55: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5555

Components of NASS Forecasts

• Reported NASS yield forecasts are based on two types of information– Farm operator survey– Objective yield survey

Page 56: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5656

Farm Operator Survey

• Farmers’ assessment of yield prospects • Samples drawn from a list frame consisting of the

names, addresses, and telephone numbers of producers

• Same sample of farmers used for all forecast months

• Drawn from list frame developed for June Agricultural Survey

Page 57: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5757

Objective Yield Survey

• Enumerators visit fields and record information about yield potential

• Sample fields are selected randomly from the area frame for the June Agricultural Survey

• Fields selected only for major producing states

• Same fields visited for each report• Counts and measurements made in two

plots in each field

Page 58: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5858

• Corn– Rowspace– 2 rows x 15 ft– Stalks– Ears & ear shoots– Ears with kernals– Kernal row length– Ear diameter – Ear weight

• Soybeans – Rowspace– 2 rows x 3.5 ft– Plants– Lateral branches– Blooms, dried flowers & pods– Pods with beans– Pod weight

Objective Yield Measurements

Page 59: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

5959

Preparation of Crop Reports

• Agricultural Statistics Board reviews all indications and determines final national and regional yield estimates

• Farmer and objective yield indications are combined in a multistage process– Both statistical and judgmental techniques used

Page 60: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6060

Errors for USDA August Corn Production Forecasts, 1970/71-

2002/03

Source: USDA

-25

-20

-15

-10

-5

0

5

10

15

1970/71 1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Fo

rec

ast

Err

or

(%)

Page 61: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6161

Errors for USDA September Corn Production Forecasts, 1970/71-

2002/03

Source: USDA

-25

-20

-15

-10

-5

0

5

10

15

1970/71 1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Fo

rec

ast

Err

or

(%)

Page 62: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6262

Errors for USDA October Corn Production Forecasts, 1970/71-

2002/03

Source: USDA

-25

-20

-15

-10

-5

0

5

10

15

1970/71 1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Fo

rec

as

t E

rro

r (%

)

Page 63: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6363

Errors for USDA November Corn Production Forecasts, 1970/71-

2002/03

Source: USDA

-25

-20

-15

-10

-5

0

5

10

15

1970/71 1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Fo

rec

as

t E

rro

r (%

)

Page 64: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6464

Conclusions• Overall, evidence suggests that the USDA

performs reasonably well in forecasting corn production

• Market participants view USDA corn production forecasts as important new information

• The following publication contains a complete analysis:

– Darrel L. Good and Scott H. Irwin. “Understanding USDA Corn and Soybean Production Forecasts: An Overview of Methods, Performance and Market Impact.” AgMAS Project Research Report 2003-07, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, October 2003.

Page 65: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6565

Forecasting Calendar for 2004/2005 Corn Use Categories

• Fall 2003: First forecasts of use for 2004/05 marketing year– Typically based on trend forecasts, recent history

and basic economic relationships

• Spring and Summer 2004: Update use forecasts based on US and world production prospects

• 2004/05 Marketing Year: Update use forecasts based on export sales and inspections reports, quarterly USDA stocks reports and USDA livestock inventory reports

Page 66: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6666

Corn: Food, Seed, and Industrial Use

• Rapid growth in last 20 years– About 10% of use in early 1980s– About 20% currently

• Largest components are:– Corn sweeteners for food and soft drinks– Corn starch for construction uses– Ethanol for fuel– Cereals, snack foods– Only ethanol use has been growing recently

Page 67: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6767

Corn: Forecasting Food, Seed, and Industrial Use

• Food component tends to grow at the rate of population growth

• Relatively price insensitive• Corn sweetener and ethanol use is critically

affected by government policies– Sugar program– Ethanol subsidies

Page 68: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6868

Food, Seed, and Industrial Use of Corn, 1975/76-2003/04 *

Source: USDA

*2003/04 Projected

y = 64.665x + 373.03

R2 = 0.9819

0

500

1,000

1,500

2,000

2,500

3,000

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

FS

I (m

illio

n b

ush

els

)

Page 69: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

6969

Corn Exports, 1975/76-2003/04*

Source: USDA

*2003/04 Projected

1,000

1,250

1,500

1,750

2,000

2,250

2,500

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Ex

po

rts

(m

illio

n b

ush

els)

Page 70: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

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Corn: Forecasting Exports

• Large variation year-to-year and difficult to forecast

• Factors to consider– Crop production in importing and exporting

countries– Prices in competing export countries– Exchange rates– Government export subsidy programs both in the

US and other countries– Economic growth– Livestock numbers outside the US

Page 71: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

7171

Corn: Domestic Feed and Residual Use

• Largest component of corn use• Averages about 60% of total corn

consumption• Primary driver of corn prices• Largely dependent on the number of “grain

consuming animal units”

Page 72: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

7272

Corn: Residual Use• Wherever possible, use is cross-checked with

objective information source– Export loadings at US ports

• Not all use can be cross-checked• Leads to a category for “residual” or

“unaccounted” use– Reflects measurement error in one or more use

categories or in production estimates– Lumped together with feed usage in corn balance

sheet

Page 73: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

7373

Corn: Forecasting Domestic Feed and Residual Use

• Related directly to the number of beef, pork and poultry animals on feed

• Number of animals on feed is, in turn, related to expected profits to livestock production

• Profitability depends on:– Livestock prices– Price of feed including corn

• Also have to account for relative price of feed inputs, such as sorghum and wheat

• Complex!

Page 74: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

7474

Domestic Feed and Residual Use of Corn, 1975/76-2003/04*

Source: USDA

*2003/04 Projected

y = 75.143x + 3601.1

R2 = 0.8173

3,000

3,500

4,000

4,500

5,000

5,500

6,000

6,500

1975/76 1980/81 1985/86 1990/91 1995/96 2000/01

Fee

d a

nd

Res

idu

al (

mill

ion

bu

shel

s)

Page 75: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

7575

Changes in Demand

• Changes in quantity demanded and demand are NOT the same thing

• Change in quantity demanded– Movements along a demand curve

• Change in demand– Shifts in the demand curve

Page 76: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

7676

Demand and Use

• Demand and use are also not the same thing• Use (usage, utilization, consumption)

– Equilibrium quantity observed in a market– Equals both the quantity demanded and quantity

supplied

Page 77: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

7777

First Balance Sheet Estimates For 2004/05

USDA USDA Your Estimate

Item 2002-03 2003-04 2004-05

Planted Acreage (1,000 acres) 79,054 79,066 79,250

Harvest Acreage (1,000 acres) 69,313 71,765 72,250

Yield (Bushels) 130 143 140.3

Begining Stocks (million bushels) 1,596 1,086 1,349

Total Production (million bushels) 9,008 10,278 10,137

Total Supply (million bushels) 10,619 11,374 11,496

Feed and Residual (million bushels) 5,642 5,700 5,720

Food, Seed, and Industrial (million bushels) 2,298 2,450 2,520

Exports (million bushels) 1,592 1,875 1,875

Total Consumption (million bushels) 9,533 10,025 10,115

Ending Stocks (million bushels) 1,086 1,349 1,381

Ending Stocks/Total Consumption (%) 11.4 13.5 13.6

Average Price ($/bu.) 2.32 2.10 2.12

Page 78: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

7878

Calculating the 2004/05 Price Forecast for Corn Using the Ending Stocks

Model

1.22 = $2.120.073 X 12.18 +

1.22 =US Average Farm Price13.6

1X 12.18 +

1.22 =US Average Farm PriceEnding Stocks/Total Use

1X 12.18 +

+ Constant =US Average Farm Price

1Ending Stocks/Total Use

X Slope

Page 79: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

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Forecasting the 2004/05 Corn Price Using the Ending Stocks Model

Source: USDA

1.50

2.00

2.50

3.00

3.50

0 5 10 15 20 25 30

Ending Stocks/Total Use (%)

Co

rn P

rice

($/

bu

.)

$2.12/bu.

13.6%

Page 80: Grain Marketing: Getting Back to the Fundamentals Darrel L. Good Scott H. Irwin

8080

Computing the 2004/05 Corn Price Implied from the Futures Market

CentralCentral Illinois Illinois

Corn 11/21/03 Illinois Cash Price 5-Yr. Avg.Calendar Futures Futures 3-Yr. Avg. Implied Marketing Price Month Contract Price Basis by Futures Weight Weight

---%---

Sep-04 Dec-04 2.45 -0.21 2.23 6.8 0.15Oct-04 Dec-04 2.45 -0.17 2.28 11.6 0.26Nov-04 Dec-04 2.45 -0.13 2.32 6.0 0.14Dec-04 Dec-04 2.45 -0.10 2.35 6.6 0.16Jan-05 Mar-05 2.49 -0.15 2.34 20.4 0.48Feb-05 Mar-05 2.49 -0.11 2.38 7.2 0.17Mar-05 Mar-05 2.49 -0.09 2.40 8.4 0.20Apr-05 May-05 2.52 -0.11 2.41 6.2 0.15May-05 May-05 2.52 -0.10 2.42 5.6 0.14Jun-05 Jul-05 2.55 -0.10 2.45 6.2 0.15Jul-05 Jul-05 2.55 -0.11 2.44 7.6 0.19Aug-05 Sep-05 2.55 -0.11 2.44 7.4 0.18

$2.36Central Illinois Basis Adjustment Relative to US Average -$0.05US Average Farm Price Forecast Implied from Futures $2.31

$2.12

---$/bu.---

Central Illinois Farm Price Forecast Implied from Futures

US Average Farm Price from Ending Stocks Model