LeCompte Learning Solutions is considering making a change to its capital structure in hopes of increasing its value. The company's capital structure consists of debt and common stock. In order to estimate the cost of debt, the company has produced the following table:
|
Percent financed |
Percent financed |
Debt-to-equity |
Bond |
Before-tax |
|
with debt (wd) |
with equity (wc) |
ratio (D/S) |
Rating |
cost of debt |
|
0.10 |
0.90 |
0.10/0.90 = 0.11 |
AAA |
7.0% |
|
0.20 |
0.80 |
0.20/0.80 = 0.25 |
AA |
7.2 |
|
0.30 |
0.70 |
0.30/0.70 = 0.43 |
A |
8.0 |
|
0.40 |
0.60 |
0.40/0.60 = 0.67 |
BBB |
8.8 |
|
0.50 |
0.50 |
0.50/0.50 = 1.00 |
BB |
9.6 |
The company uses the CAPM to estimate its cost of common equity,
rs. The risk-free rate is 5% and the market risk premium
is 6%. LeCompte estimates that if it had no debt its beta would be
1.0. (Its "unlevered beta," bU, equals 1.0.) The
company's tax rate, T, is 40%.
On the basis of this information, what is LeCompte's optimal
capital structure, and what is the firm's cost of capital at this
optimal capital structure?
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In: Finance
You are a banker and are confronted with a pool of loan applicants, each of whom can be either low risk or high risk. There are 600 low-risk applicants and 400 highrisk applicants and each applicant is applying for a $100 loan. A low-risk borrower will invest the $100 loan in a project that will yield $150 with probability 0.8 and nothing with probability 0.2 one period hence. A high-risk borrower will invest the $100 loan in a project that will yield $155 with probability 0.7 and nothing with probability 0.3 one period hence. You know that 60% of the applicant pool is low risk and 40% is high risk, but you cannot tell whether a specific borrower is low risk or high risk. You are a monopolist banker and have $50,000 available to lend. Everybody is risk neutral. The current riskless rate is 8%. Each borrower must be allowed to retain a profit of at least $5 in the successful state in order to be induced to apply for a bank loan. You have just learned that 1,000 loan applications have been received after you announced a 45% loan interest rate. You can satisfy only 500. What should be your optimal (profit-maximizing) loan interest rate? Should it be 45% (at which you must ration half the loan applicants) or a higher interest rate at which there is no rationing?
In: Accounting
Selected activities and other information are provided for Patterson Company for its most recent year of operations.
| Expected Consumption Ratios |
||||||||
| Activity | Driver | Quantity | Wafer A | Wafer B | ||||
| 7. Inserting dies | Number of dies | 2,500,000 | 0.7 | 0.3 | ||||
| 8. Purchasing materials | Number of purchase orders |
2,400 | 0.2 | 0.8 | ||||
| 1. Developing test programs | Engineering hours | 12,000 | 0.25 | 0.75 | ||||
| 3. Testing products | Test hours | 20,000 | 0.6 | 0.4 | ||||
| ABC assignments | $150,000 | $150,000 | ||||||
| Total overhead cost | $300,000 | |||||||
Required:
1. Form reduced system cost pools for activities 7 and 8. Do not round interim calculations. Round your final answers to the nearest dollar.
| Inserting dies cost pool | $ |
| Purchasing cost pool | $ |
2. Assign the costs of the reduced system cost pools to Wafer A and Wafer B. Do not round interim calculations. Round your final answers to the nearest dollar.
| Wafer A | $ |
| Wafer B | $ |
3. What if the two activities were 1 and 3? Repeat Requirements 1 and 2.
Form reduced system cost pools for activities 1 and 3.
Do not round interim calculations. Round your final answers to the nearest dollar.
| Developing test programs cost pool | $ |
| Testing products cost pool | $ |
Assign the costs of the reduced system cost pools to Wafer A and Wafer B.
| Wafer A | $ |
| Wafer B | $ |
In: Accounting
You are a banker and are confronted with a pool of loan applicants, each of whom can be either low risk or high risk. There are 600 low-risk applicants and 400 highrisk applicants and each applicant is applying for a $100 loan. A low-risk borrower will invest the $100 loan in a project that will yield $150 with probability 0.8 and nothing with probability 0.2 one period hence. A high-risk borrower will invest the $100 loan in a project that will yield $155 with probability 0.7 and nothing with probability 0.3 one period hence. You know that 60% of the applicant pool is low risk and 40% is high risk, but you cannot tell whether a specific borrower is low risk or high risk. You are a monopolist banker and have $50,000 available to lend. Everybody is risk neutral. The current riskless rate is 8%. Each borrower must be allowed to retain a profit of at least $5 in the successful state in order to be induced to apply for a bank loan. You have just learned that 1,000 loan applications have been received after you announced a 45% loan interest rate. You can satisfy only 500. What should be your optimal (profit-maximizing) loan interest rate? Should it be 45% (at which you must ration half the loan applicants) or a higher interest rate at which there is no rationing?
In: Finance
You are a banker and are confronted with a pool of loan applicants, each of whom can be either low risk or high risk. There are 600 low-risk applicants and 400 highrisk applicants and each applicant is applying for a $100 loan. A low-risk borrower will invest the $100 loan in a project that will yield $150 with probability 0.8 and nothing with probability 0.2 one period hence. A high-risk borrower will invest the $100 loan in a project that will yield $155 with probability 0.7 and nothing with probability 0.3 one period hence. You know that 60% of the applicant pool is low risk and 40% is high risk, but you cannot tell whether a specific borrower is low risk or high risk. You are a monopolist banker and have $50,000 available to lend. Everybody is risk neutral. The current riskless rate is 8%. Each borrower must be allowed to retain a profit of at least $5 in the successful state in order to be induced to apply for a bank loan. You have just learned that 1,000 loan applications have been received after you announced a 45% loan interest rate. You can satisfy only 500. What should be your optimal (profit-maximizing) loan interest rate? Should it be 45% (at which you must ration half the loan applicants) or a higher interest rate at which there is no rationing?
In: Finance
An organization collected preference ratings on various brands they consider.
| Market B | ||||||
| Pre-use | ||||||
| Respondent | Dove | Pears | Lux Supreme | Pure Nature | ||
| 1 | 0.5 | 1 | 1.5 | 3 | ||
| 2 | 1 | 3 | 4 | 2 | ||
| Pre-Use Probability 1 | 0.08 | 0.17 | 0.25 | 0.5 | ||
| Pre-Use Probability 2 | 0.1 | 0.3 | 0.4 | 0.2 | ||
| Mind Share | 9.17 | 23.33 | 32.5 | 35 | ||
| After-Use of soft shine | ||||||
| Respondent | Dove | Pears | Lux Supreme | Pure Nature | Soft Shine | |
| 1 | 1 | 2 | 2 | 3 | 2 | |
| 2 | 3 | 4.5 | 3 | 3 | 1.5 | |
| After Use Probability 1 | 0.1 | 0.2 | 0.2 | 0.3 | 0.2 | |
| After Use Probability 2 | 0.2 | 0.3 | 0.2 | 0.2 | 0.1 | |
| Mind Share | 15 | 25 | 20 | 25 | 15 | |
| Draw/ Cannibilization | -5.83 | -1.67 | 12.5 | 10 | ||
| Given the information above, if the demand and the per-unit profit margins is the same | ||||||
| for Pure Nature and Softshine Should the company launch softshine? Why or why not? | ||||||
In: Economics
The operation manager at a tire manufacturing company believes that the mean mileage of a tire is 23,383 miles, with a variance of 21,436,900. What is the probability that the sample mean would be less than 22,909 miles in a sample of 286 tires if the manager is correct? Round your answer to four decimal places.
In: Statistics and Probability
Consider the following regression model. Weekend is whether or not the visit was on a weekend. Distance is how far the guests have to travel to get to the amusement park. Rides and Games are the number of rides and games, respectively. Clean is a cleanliness score from 1-10. Num.Child is the number of children with the guest. Wait is the average wait time for the rides.
Multiple R-squared: 0.8632,
Adjusted R-squared: 0.8787
F-statistic: 151.6 on 7 and 492 DF, p-value: .00000000022
Coeffiients:
Estimate Std. Error t value Pr(>ItI)
(Intercept) -140.61254 7.15405 -19.655 0.0000016
wekend -0.71573 0.80870 -0.885 0.376572
distance 0.04494 0.01219 3.686 0.000253
rides 0.61361 0.01219 5.072 0.0000059
games 0.13833 0.05872 2.356 0.18882
clean 0.92725 0.13593 6.821 0.000061
num.child 3.61602 0.26980 13.403 0.000025
wait 0.56476 0.04064 13.896 0.000031
a) do you think that this is a good regression model? Why or why not?
b)should all of the input variables in the model be included? If not, which variables should be removed from the model and why?
c) Generate a point estimate for the satisfaction level of an amusement park visit that is on a Friday, to an amusement park that is 63 miles away, that has 20 rides and 15 games. The park has a cleanliness score of 8, and an average wait time for each ride of 10 minutes. The guest has 3 children with them.
In: Statistics and Probability
IN C++ PLEASE. Use ONLY: exception handling, read and write files, arrays, vectors, functions, headers and other files, loops, conditionals, data types, assignment.
Stream Errors
cout << "Enter a number: " << endl;
cin >> number;
if (cin.fail()) {
// Clear error state
cin.clear();
// Ignore characters in stream until newline
cin.ignore(numeric_limits<streamsize>::max(), '\n');
cout << "There was an error: " << endl;
}
Throwing Errors
throw runtime_error("Invalid value.");
Catching Errors
try {
// Code to try
}
catch (runtime_error &excpt) {
// Prints the error message passed by throw statement
cout << excpt.what() << endl;
}
Make sure you include stdexcept and vector as well as the other standard modules.
In: Computer Science
Consider a portfolio with three assets E[rA]=10% E[rB]=12% E[rC]=8%; σA2 =0.008 σB2 =0.010 σC2 =0.005; ρA,B =0.2 ρB,C = 0.0 ρA,C = −0.2
a) Consider the portfolio weights xA = 0.3 and xB = 0.3. Calculate the portfolio weight xC , the expected portfolio return, and the variance of the portfolio returns.
b) Consider the portfolio weights xA = 0.3. Calculate the expected portfolio return as a function of xB
c) Consider the portfolio weights xA = 0.3. Calculate the portfolio return variance as a function of xB
d) Calculate the portfolio which has the smallest variance, for which xA = 0.3.
In: Finance