Risk: exponential smoothing forecasting and value of information

Risk: The Value of Information

Scenario: Using the same situation from the Module 3 SLP, recall that you are deciding among three investments. You have heard of an expert who has a highly reliable “track record” in the correct identification of favorable vs. unfavorable market conditions. You are now considering whether to consult this “expert.” Therefore, you need to determine whether it would be worth paying the expert’s fee to get his prediction. You recognize that you need to do further analysis to determine the value of the information that the expert might provide.

In order to simplify the analysis, you have decided to look at two possible outcomes for each alternative (instead of three). You are interested in whether the market will be Favorable or Unfavorable, so you have collapsed the Medium and Low outcomes. Here are the three alternatives with their respective payoffs and probabilities.

Option A: Real estate development. This is a risky opportunity with the possibility of a high payoff, but also with no payoff at all. You have reviewed all of the possible data for the outcomes in the next 10 years and these are your estimates of the Net Present Value (NPV) of the payoffs and probabilities:

High/Favorable NPV: \$7.5 million, Pr = 0.5

Unfavorable NPV: \$2.0 million, Pr = 0.5

Option B: Retail franchise for Just Hats, a boutique-type store selling fashion hats for men and women. This also is a risky opportunity but less so than Option A. It has the potential for less risk of failure, but also a lower payoff. You have reviewed all of the possible data for the outcomes in the next 10 years and these are your estimates of the NPV of the payoffs and probabilities.

High/Favorable NPV: \$4.5 million, Pr = 0.75

Unfavorable NPV: \$2.5 million, Pr = 0.25

Option C: High Yield Municipal Bonds. This option has low risk and is assumed to be a Certainty. So there is only one outcome with probability of 1.0:

NPV: \$2.25 million, Pr = 1.0

You have contacted the expert and received a letter stating his track record which you have checked out using several resources. Here is his stated track record:

True State of the Market

Expert Prediction

Favorable

Unfavorable

Predicts “Favorable”

.9

.3

Predicts “Unfavorable”

.1

.7

You realize that this situation is a bit complicated since it requires the expert to analyze and predict the state of two different markets: the real estate market and the retail hat market. You think through the issues of probabilities and how to calculate the joint probabilities of both markets going up, both going down, or one up and the other down. Based on your original estimates of success, here are your calculations of the single probabilities and joint probabilities of the markets.

Probabilities

Favorable

Unfavorable

A: Real Estate

0.50

0.50

B: Just Hats

0.75

0.25

Joint Probabilities

A Fav, B Fav (A+, B+)

0.375

A Unf, B Unf (A-, B-)

0.125

A Fav, B Unf (A+, B-)

0.125

A Unf, B Fav (A-, B+)

0.375

Finally, after a great deal of analysis and calculation, you have determined the Posterior probabilities of Favorable and Unfavorable Markets for the Real Estate business and the boutique hat business.

Real Estate

Just Hats

F

U

F

U

0.45

says “F/F”

0.75

0.25

0.90

0.10

0.15

says “F/U”

0.75

0.25

0.30

0.70

0.30

says “U/F”

0.125

0.875

0.90

0.10

0.10

says “U/U”

0.125

0.875

0.30

0.70

For example, this table says that there is 45% chance that the expert will predict Favorable for both markets (F/F), and when he makes this prediction, there is a 75% chance that the Real Estate market will be favorable and 25% chance that it won’t, and also a 90% chance that the Hat market will be Favorable and 10% chance it won’t.

You have developed a Decision Tree showing the original collapsed solution and also showing an expanded Decision Tree for evaluating the value of the expert’s information. You need to enter the probabilities into this tree to see if the expert’s information will increase the overall expected value of your decision. Download the Excel file with the incomplete Decision Tree: Decision Tree for BUS520 SLP 4 (see Attached)

Assignment

Complete the information in the Decision Tree in the Excel file. Determine the Expected NPV of the decision if you were to consult the Expert. Does use of the Expert increase the value of your analysis? If so, by how much?

Upload both your written report and Excel file with the Decision Tree analysis to the SLP 4 Dropbox.

SLP Assignment Expectations

Analysis

• Accurate and complete analysis in Excel.

Required:

• Length requirements: 3 pages minimum (not including Cover and Reference pages). NOTE: You must submit 3 pages of written discussion and analysis. This means that you should avoid use of tables and charts as “space fillers.”
• Provide a brief introduction to/background of the problem.
• Written analysis that supports Excel analysis and provides thorough discussion of assumptions, rationale, and logic used.
• Complete, meaningful, and accurate recommendation(s).

4 attachments

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
\$26
The price is based on these factors:
Number of pages
Urgency
Basic features
• Free title page and bibliography
• Unlimited revisions
• Plagiarism-free guarantee
• Money-back guarantee
On-demand options
• Writer’s samples
• Part-by-part delivery
• Overnight delivery
• Copies of used sources
Paper format
• 275 words per page
• 12 pt Arial/Times New Roman
• Double line spacing
• Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.