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Doss [256]
3 years ago
14

. Alex has the option to invest in an asset. Her financial advisor has told her there is expected value (utility) of $20,000 on

the asset. With some probability p, the asset pays off well ($45,000). However, there is some chance that it will flop (1-p), and pay poorly ($2000). Assume linear utility. a. What are the probabilities that the asset will pay well and poorly? Show your calculations. We can solve this by using the expected utility/value equation: b. If she has $21000 to invest, should she invest in the asset? Why or why not?
Business
1 answer:
LiRa [457]3 years ago
8 0

Answer:

A) the probability that the asset will pay well is 51.16% and the probability that it pays poorly is 48.84%.

B) She should not invest in the asset because the expected value = the price asset, there is no expected profit.

Explanation:

There are 2 probable returns:

  1. Asset will pay well = P = $45,000
  2. Asset will pay poorly = 1 - P = $2,000

since the principal = $20,000, and the expected value = $20,000, the expected value equation would be:

45,000p + 2,000(1 - p) = 20,000

45,000 + 2,000 - 2,000p = 20,000

43,000p = 22,000

p = 0.5116 or 51.16%

1 - p = 48.84%

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amm1812

Answer:

C. Involves statements that can be proven true or false

Explanation:

Positive Economics includes objective statements, based on factual data, describing 'what actually is'. The statements describe economic issues & cause - effect relationship, can be tested or proved.

Eg : The inflation rate in India in 2019 was xyz %.

The statement is a factual data description of an actual economic issue, which can be tested.

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What are 3 reasons why people work
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to earn money to feed their families, to pay their bills, to go places,

Explanation:

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Could the price elasticity of supply for a particular good differ between the short-run and the long-run? Explain with an exampl
dimaraw [331]

For produced goods, supply is typically more elastic over the long term compared to the short term because it is generally believed that over the long term, all production factors can be used to increase supply, whereas over the short term, only labor can be increased and even then, changes may be prohibitively expensive.

Because consumers don't have time to look for alternatives, demand is typically more price inelastic in the short term. Consumers eventually grow more aware of their options. The responsiveness of demand to a change in price is measured by price elasticity of demand. Electricity demand's price elasticity is higher over the long term and lower over the short term.

To learn more about long term, click here..

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1 year ago
In 2019, Audrey claimed $2,100 on her Federal tax return for her Child and Dependent Care Expenses Credit. Her Federal adjusted
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Answer:

$1,050

Explanation:

Her adjusted gross income is $32,750, so she can claim maximum of 50% of Child and Dependent Care Expenses as CDC Credit

= $2,100 * 50%

= $1,050

So, the amount she can claim for the California Child and Dependent Care Expenses (CDC) Credit  is $1,050

5 0
3 years ago
The bank is working to develop an efficient work schedule for full-time and part-time tellers. The schedule must provide for eff
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Answer:

The solution is given below.

Explanation:

It is a practical, complex scheduling problem that can be easily modelled and solved as IP. Note that  part time and full time employees are paid at different rates. So, it is important that the bank operates to provide required service level (indicated by the number of tellers per hour) while  minimizing total cost due to staff salary.

We use x as full time and y as part time staff.

It would help if you construct a table as shown below to better analyze the problem before  attempting to model it. Red shows work hrs of full time staff and green is for part timers. Just follow  their work hour rules.

So, full timers have 3 options:  

(i) start at 9 – work till 1pm, take 1 hr break, then work 2 – 5 pm

(ii) start at 10 – work till 2pm, take 1 hr break, then work 3 – 6 pm

(iii) start at 11 – work till 3pm, take 1 hr break, then work 4 – 7 pm

that’s all… bank closes at 7 pm.

However, part timers don’t have 1 hr break. They work straight 4 hrs and leave. See green cells  above to understand their alternatives.

Now, decision variables should include this work hour information. Here goes their definition. You  must clearly define decision variables in exam, otherwise, the model is meaningless.

X9 = number of full time staff who start at 9 and follow the hour-related rule (no need to specify  more details; those are already undestood)

X10 = number of full time staff who start at 10 and follow the hour-related rule

X11 = number of full time staff who start at 11 and follow the hour-related rule

Y9 = number of part time staff who start at 9 and follow the hour-related rule

Y10 = number of part time staff who start at 10 and follow the hour-related rule

…. This way you define up to Y15.

You must also specify that:

Xi, Yi >=0, integers.

Objective Function:

Minimize Z = 105*(x9 + x10 + x11) + 32* (y9 + y10 + … + y 15)

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constraints are: (attached with image)

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