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For each of the following situations, calculate the expected value. a. Tanisha owns one share of IBM stock, which is currently trading at \(\$ 80 .\) There is a \(50 \%\) chance that the share price will rise to \(\$ 100\) and a \(50 \%\) chance that it will fall to \(\$ 70\). What is the expected value of the future share price? b. Sharon buys a ticket in a small lottery. There is a probability of 0.7 that she will win nothing, of 0.2 that she will win \(\$ 10,\) and of 0.1 that she will win \(\$ 50 .\) What is the expected value of Sharon's winnings? c. Aaron is a farmer whose rice crop depends on the weather. If the weather is favorable, he will make a profit of \(\$ 100\). If the weather is unfavorable, he will make a profit of \(-\$ 20\) (that is, he will lose money). The weather forecast reports that the probability of weather being favorable is 0.9 and the probability of weather being unfavorable is \(0.1 .\) What is the expected value of Aaron's profit?

Short Answer

Expert verified
Answer: The expected values are as follows: a. IBM share price: $85 b. Sharon's lottery winnings: $7 c. Aaron's profit: $88

Step by step solution

01

a. Expected value of IBM share price

To calculate the expected value of the future IBM share price, we multiply the value of each outcome (share price) by its probability, and then sum the results. Hence, the expected value is: (Expected value) = (share price when rises * probability of rise) + (share price when falls * probability of fall) = \(( 100 * 0.50) + (70 * 0.50)\) = \(50 + 35\) = \(85\) Therefore, the expected value of the future IBM share price is \( \$ 85\).
02

b. Expected value of Sharon's winnings in the lottery

To calculate the expected value of Sharon's winnings in the lottery, we multiply the value of each outcome (winnings) by its probability, and then sum the results. Hence, the expected value is: (Expected value) = (winnings when nothing * probability of nothing) + (winnings when 10 dollars * probability of 10 dollars) + (winnings when 50 dollars * probability of 50 dollars) = \(( 0 * 0.7) + (10 * 0.2) + (50 * 0.1)\) = \(0 + 2 +5\) = \(7\) Therefore, the expected value of Sharon's winnings in the lottery is \( \$ 7.\)
03

c. Expected value of Aaron's profit

To calculate the expected value of Aaron's profit, we multiply the value of each outcome (profit) by its probability, and then sum the results. Hence, the expected value is: (Expected value) = (profit when weather is favorable * probability of favorable weather) + (profit when weather is unfavorable * probability of unfavorable weather) = \((100 * 0.9) + (-20 * 0.1)\) = \(90 - 2\) = \(88\) Therefore, the expected value of Aaron's profit is \( \$ 88.\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding Probability
Probability is a measure of the likelihood that a certain event will occur. In essence, it's a way to quantify uncertainty. When we say there is a 50% chance of rain tomorrow, we're saying there is an equal likelihood of rain as there is not rain.
Probabilities are expressed as numbers between 0 and 1. A probability of 0 means the event will not happen, while a probability of 1 means it will happen. In real-life situations, probabilities can be used to predict outcomes, helping in decision-making.
  • A probability of 0.5 indicates an event is equally likely to happen or not happen.
  • If an event has multiple potential outcomes, probabilities for all outcomes must add up to 1.
  • Probability is essential in various fields, including finance, to assess risks and make informed decisions.
What Are Outcomes?
Outcomes are the possible results that can occur from an event or situation. Understanding the different outcomes of a scenario helps in analyzing the overall picture.
In probability, outcomes are usually expressed as different values a variable can take. For instance, in a dice roll, the outcomes are the numbers one through six that the die shows.
  • In business or finance, outcomes could be profit, loss, or any financial result.
  • Identifying outcomes helps in calculating the likelihood of each one, crucial for making decisions under uncertainty.
  • In decision-making scenarios, like investments or lotteries, outlining potential outcomes is the first step in evaluating alternatives.
Calculation of Expected Value
The expected value is a fundamental concept in probability and statistics. It represents the average outcome if an experiment or process is repeated numerous times. Essentially, it combines all possible outcomes, weighted by their probabilities, to determine a single value.
Here’s how you can calculate the expected value:
  • List all the possible outcomes.
  • Assign probabilities to each outcome.
  • Multiply each outcome by its probability.
  • Sum all the products from the previous step.
The formula looks like this:\[E(X) = \sum \text{(Outcome value)} \times \text{(Probability of the outcome)}\]
The calculations you performed for IBM stock, Sharon's lottery, and Aaron's profit relied on this formula. Each scenario used different possible outcomes, like price changes or various winnings, to find an expected financial return.
Decision Making Under Uncertainty
In real-world scenarios, we often make decisions under uncertainty. This means we don't have all the information and cannot predict outcomes with certainty.
Expected value becomes a powerful tool in these situations. It helps assess the potential gains or losses of different strategies, providing a clearer view of long-term prospects.
Consider these points when making decisions under uncertainty:
  • Identify all possible outcomes and their probabilities.
  • Calculate the expected value to compare options.
  • Evaluate the risks associated with each decision.
  • Remember that a higher expected value doesn't guarantee success in any single instance.
For individuals like Tanisha, Sharon, and Aaron, understanding expected value provides a way to make calculated choices amidst uncertain conditions. It shifts the focus from short-term outcomes to overall long-term benefits.

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Most popular questions from this chapter

From 1990 to 2013,1 in approximately every 277 cars produced in the United States was stolen. Beth owns a car worth \(\$ 20,000\) and is considering purchasing an insurance policy to protect herself from car theft. For the following questions, assume that the chance of car theft is the same in all regions and across all car models. a. What should the premium for a fair insurance policy have been in 2013 for a policy that replaces Beth's car if it is stolen? b. Suppose an insurance company charges \(0.6 \%\) of the car's value for a policy that pays for replacing a stolen car. How much will the policy cost Beth? c. Will Beth purchase the insurance in part b if she is risk-neutral? d. Discuss a possible moral hazard problem facing Beth's insurance company if she purchases the insurance.

You have \(\$ 1,000\) that you can invest. If you buy Ford stock, you face the following returns and probabilities from holding the stock for one year: with a probability of 0.2 you will get \(\$ 1,500\); with a probability of 0.4 you will get \(\$ 1,100\); and with a probability of 0.4 you will get \(\$ 900 .\) If you put the money into the bank, in one year's time you will get \(\$ 1,100\) for certain. a. What is the expected value of your earnings from investing in Ford stock? b. Suppose you are risk-averse. Can we say for sure whether you will invest in Ford stock or put your money into the bank?

For each of the following situations, do the following: first describe whether it is a situation of moral hazard or of adverse selection. Then explain what inefficiency can arise from this situation and explain how the proposed solution reduces the inefficiency. a. When you buy a second-hand car, you do not know whether it is a lemon (low quality) or a plum (high quality), but the seller knows. A solution is for sellers to offer a warranty with the car that pays for repair costs. b. Some people are prone to see doctors unnecessarily for minor complaints like headaches, and health maintenance organizations do not know how urgently you need a doctor. A solution is for insurees to have to make a co-payment of a certain dollar amount (for example, \(\$ 10\) ) each time they visit a health care provider. All insurees are risk-averse. c. When airlines sell tickets, they do not know whether a buyer is a business traveler (who is willing to pay a lot for a seat) or a leisure traveler (who has a low willingness to pay). A solution for a profit-maximizing airline is to offer an expensive ticket that is very flexible (it allows date and route changes) and a cheap ticket that is very inflexible (it has to be booked in advance and cannot be changed). d. A company does not know whether workers on an assembly line work hard or whether they slack off. A solution is to pay the workers "piece rates," that is, pay them according to how much they have produced each day. All workers are risk-averse, but the company is not risk-neutral. e. When making a decision about hiring you, prospective employers do not know whether you are a productive or unproductive worker. A solution is for productive workers to provide potential employers with references from previous employers.

You own a company that produces chairs, and you are thinking about hiring one more employee. Each chair produced gives you revenue of \(\$ 10\). There are two potential employees, Fred Ast and Sylvia Low. Fred is a fast worker who produces ten chairs per day, creating revenue for you of \(\$ 100\). Fred knows that he is fast and so will work for you only if you pay him more than \(\$ 80\) per day. Sylvia is a slow worker who produces only five chairs per day, creating revenue for you of \(\$ 50 .\) Sylvia knows that she is slow and so will work for you if you pay her more than \$ 40 per day. Although Sylvia knows she is slow and Fred knows he is fast, you do not know who is fast and who is slow. So this is a situation of adverse selection. a. Since you do not know which type of worker you will get, you think about what the expected value of your revenue will be if you hire one of the two. What is that expected value? b. Suppose you offered to pay a daily wage equal to the expected revenue you calculated in part a. Whom would you be able to hire: Fred, or Sylvia, or both, or neither? c. If you know whether a worker is fast or slow, which one would you prefer to hire and why? Can you devise a compensation scheme to guarantee that you employ only the type of worker you prefer?

Suppose you have \(\$ 1,000\) that you can invest in Ted and Larry's Ice Cream Parlor and/or Ethel's House of Cocoa. The price of a share of stock in either company is \(\$ 100\). The fortunes of each company are closely linked to the weather. When it is warm, the value of Ted and Larry's stock rises to \(\$ 150\) but the value of Ethel's stock falls to \$60. When it is cold, the value of Ethel's stock rises to \(\$ 150\) but the value of Ted and Larry's stock falls to \(\$ 60\). There is an equal chance of the weather being warm or cold. a. If you invest all your money in Ted and Larry's, what is your expected stock value? What if you invest all your money in Ethel's? b. Suppose you diversify and invest half of your \(\$ 1,000\) in each company. How much will your total stock be worth if the weather is warm? What if it is cold? c. Suppose you are risk-averse. Would you prefer to put all your money in Ted and Larry's, as in part a? Or would you prefer to diversify, as in part b? Explain your reasoning.

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