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Uncertainty in Future Events Chapter 10: Newnan, Eschenbach, and Lavelle Dr. Hurley’s AGB 555 Course

Uncertainty in Future Events Chapter 10: Newnan, Eschenbach, and Lavelle Dr. Hurley’s AGB 555 Course

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Page 1: Uncertainty in Future Events Chapter 10: Newnan, Eschenbach, and Lavelle Dr. Hurley’s AGB 555 Course

Uncertainty in Future EventsChapter 10: Newnan, Eschenbach, and LavelleDr. Hurley’s AGB 555 Course

Page 2: Uncertainty in Future Events Chapter 10: Newnan, Eschenbach, and Lavelle Dr. Hurley’s AGB 555 Course

Ways Of Dealing with Uncertain Events• Range of Estimates• Look at what the metrics (e.g., PW) are for an optimistic estimate,

a most likely estimate, and a pessimistic estimate• You could calculate the metric used in project management

• (Optimistic Value + 4*Most likely Value + Pessimistic Value)/6

• Calculate Expected Values• Expected value is the sum of the outcomes multiplied by their

probabilities• Economic Decision Trees• These represent more complex investments that may or may not

have a probabilistic nature to them and potentially multiple decisions need to be made

Page 3: Uncertainty in Future Events Chapter 10: Newnan, Eschenbach, and Lavelle Dr. Hurley’s AGB 555 Course

Economic Decision Trees• In economic decision trees, you have three main components:• A decision node ( )where you get to make some decision out of

a set of possibilities• A chance node ( ) where multiple outcomes can occur each

with their own probability• An outcome node ( )is the result of a set of decisions and

chance outcomes• In class we will discuss problem 10-40 from the textbook

Page 4: Uncertainty in Future Events Chapter 10: Newnan, Eschenbach, and Lavelle Dr. Hurley’s AGB 555 Course

Risk• One definition of risk is the chance of getting an outcome that

is different then the expected value• One measure of risk is the probability of a getting a loss• Another measure of risk is the standard deviation (σ)

• One way of understanding risk is to use a risk and return graph• This plots return with its corresponding risk

Page 5: Uncertainty in Future Events Chapter 10: Newnan, Eschenbach, and Lavelle Dr. Hurley’s AGB 555 Course

Simulation• This method uses random sampling from a probability

distribution• It makes many draws from the sample and calculates a metric for

the draws, e.g., IRR, PW, EUAC, etc.• Useful Excel tools for doing simulations• Under Data Analysis, there is a random number generator• Using the Rand() function with the Norm.Inv() function will draw

a random value from the normal distribution• RandBetween() will draw from a uniform distribution