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Forecasting

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Forecasting
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Chapter 6



Forecasting

The Value of Forecasting

Forecasting future business conditions and

consumer preferences is vital to the firm’s

ability to achieve its purpose and objective

because:

• Forecasting helps a business place itself in

the best possible position relative to future

business conditions

• Forecasting reduces the uncertainty

surrounding business decisions and

increases profits

The Basics

• Forecasts of future levels of major

economic variables: GDP, interest rates,

income, consumption rates, and so on are

easy to find



• These forecasts become valuable to an

agribusiness if they can be related to the

firm’s sales, profits, costs, and so on

The Five Factors

of Forecasting

1. Accuracy desired

2. Time permitted to develop the forecast

3. Complexity of situation

4. Time period to be projected

5. Amount of resources available

(e.g., money, personnel)

Forecasting Procedures

 Extrapolation: forecasting by using the idea

that whatever happened in the past will

happen again in the future.

 Graphical analysis: extrapolation is

combined with graphical analysis and the

plotting of data (figure 6-1)

Adjusting for Inflation

• Deflate or remove the effect of inflation

from the price

• To adjust for inflation is accomplished by

dividing the price by an appropriate general

price index calculated for the same period

(table 6-1 and figure 6-2)

Adjusting for Population

• Remove the impact of changes in

population by measuring sales on a per

person (per capita) basis

• Adjusting for population is done by

dividing sales by population (table 6-2)

Moving Averages

• Moving averages help reduce the impact of

short-term fluctuations in the data by

plotting the average value of several data

points rather than a single one

• Examples: table 6-1, figure 6-3

Identifying

Seasonal Patterns

Seasonal patterns of prices and quantities:

The lowest price at harvest time,

followed by a slow rise each month

throughout the rest of year,

followed by a decline just before the next

harvest.

Identifying

Cyclical Patterns

• Cycles are more prevalent in livestock

(hogs & cattle)

• Changes in livestock production require a

longer period of adjustment

Combining

All the Adjustments

• Combine several of the forecasting

procedures to make a projection

• Reassemble the parts in order using the

price data from the most current year, the

trend line, and seasonal and cyclical pattern

information

Using Forecasts

• Understanding the assumptions behind the

forecast

• Update forecasts

• Use alternative outcomes

Discussion Topics

1. Discuss why a huge global agribusiness firm such

as Coca-Cola has a greater need for good

forecasting than a local, independent farm supply

store. Which firm is at greater risk to changes in the

market?

2. Explain how forecasting is related to the planning

management function.

3. Explain how an agribusiness knowing next year’s

projected gross domestic product can help it decide

how much inventory to buy.

Discussion Topics

4. Discuss the idea that forecasting is too

complicated and expensive for a small

agribusiness to afford. Explain why you agree or

disagree with this statement.

5. Explain why graphical analysis should be a part

of all forecasting efforts. Develop an example

that proves your points.

6. Explain why it is important to be able to remove

the effect of inflation, population changes, and

other items from a forecast.

Discussion Topics

7. What is the difference between seasonal and

cyclical patterns? Why are these things more

important to agribusiness than other industries?

8. Discuss how a poultry processor can use a

monthly price to his or her advantage in buying,

selling, and storage decisions.

Discussion Topics

9. Evaluate the statement that the best forecasts are

those that you can directly apply to business

planning. Explain your answer.

10. Evaluate the statement that the use of alternative

outcomes in forecasting helps agribusiness

managers sleep better at night. Explain your

answer.


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