AP 4 please help..... classes call this financialinvestment, or simply savings.Let's consider an economy inwhich firms spend $155 onmachinery used in productionand home buying totals $120. Inaddition, people buy $20 instocks and bonds andbusinesses add $50 to theirinventories.Given this information,calculate economic investment.Enter a response then click Submit belowS$1

The given information includes:Firms spending $155 on machinery used in productionHome buying…

Answered: classes call this financial investment,…

Essentials Of Business Analytics

1st Edition

ISBN:9781285187273

Author:Camm, Jeff.

Publisher:Camm, Jeff.

Chapter4: Linear Regression

Section: Chapter Questions

Problem 21P: Consider again the example introduced in Section 4.5 of a credit card company that has a database of...

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See attached. I attached figure 1A for reference, but don't need any graphs to answer
Identify the activity ratio of a computer shop is its Cost of Goods Sold is P12 million and the Average Inventory is P24 million. Analyze and interpret your answer. Compute the return on investment of AR Grocery Store if the net profit after taxes is P10 million and its total assets is P100 million. Analyze and interpret your answer.
Identify the activity ratio of a computer shop is its Cost of Goods Sold is P12 million and the Average Inventory is P24 million.Show your solution, analyze and interpret your answer. Compute the return on asset of AR Grocery Store if the net profit after taxes is P10 million and its total assets is P100 million. Analyze and interpret your answer.
Consider again the example introduced in Section 4.5 of a credit card company that has a database of information provided by its customers when the customers apply for credit cards. An analyst has created a multiple regression model for which the dependent variable in the model is credit card charges accrued by a customer in the data set over the past year (y), and the independent variables are the customers annual household income (x1), number of members of the household (x2), and number of years of posthigh school education (x3). Figure 4.23 provides Excel output for a multiple regression model estimated using a data set the company created. a. Estimate the corresponding simple linear regression with the customers annual household income as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the customers annual household income and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year does this simple linear regression model explain? b. Estimate the corresponding simple linear regression with the number of members in the customers household as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the number of members in the customers household and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year does this simple linear regression model explain? c. Estimate the corresponding simple linear regression with the customers number of years of posthigh school education as the independent variable and credit card charges accrued by a customer over the past year as the dependent variable. Interpret the estimated relationship between the customers number of years of posthigh school education and credit card charges accrued over the past year. How much variation in credit card charges accrued by a customer over the past year does this simple linear regression model explain? d. Recall the multiple regression in Figure 4.23 with credit card charges accrued by a customer over the past year as the dependent variable and customers annual household income (x1), number of members of the household (x2), and number of years of posthigh school education (x3) as the independent variables. Do the estimated slopes differ substantially from the corresponding slopes that were estimated using simple linear regression in parts a, b, and c? What does this tell you about multicollinearity in the multiple regression model in Figure 4.23? e. Add the coefficients of determination for the simple linear regression in parts a, b, and c, and compare the result to the coefficient of determination for the multiple regression model in Figure 4.23. What does this tell you about multicollinearity in the multiple regression model in Figure 4.23? f. Add age, a dummy variable for gender, and a dummy variable for whether a customer has exceeded his or her credit limit in the past 12 months as independent variables to the multiple regression model in Figure 4.23. Code the dummy variable for gender as 1 if the customers gender is female and 0 if male, and code the dummy variable for whether a customer has exceeded his or her credit limit in the past 12 months as 1 if the customer has exceeded his or her credit limit in the past 12 months and 0 otherwise. Do these variables substantially improve the fit of your model?
6-1 YIELD CURVES Assume that yields on U.S. Treasury securities were as follows: Term Rate 6 months 4.69% 1 year 5.49 2 years 5.66 З years 5.71 4 years 5.89 5 years 6.05 10 years 6.12 20 years 6.64 30 years 6.76
Calculating LIFO, FIFO, Income and Cash Flows An acquaintance has proposed the following business plan to you. A local company requires a consistent quantity of a commodity and is looking for a reliable supplier. You could become that reliable supplier. The cost of the commodity is expected to rise steadily over the foreseeable future, but the company is willing to pay more than the price that is current at the time. All you would need to do is make an investment, purchase the inventory and then deliver inventory to the company over the following year. One complication is that the commodity is available for purchase only seasonally, so at the end of every year you would need to purchase the supply for the following year. The customer pays promptly on delivery. An initial cash investment of $62,000 would be used to purchase $50,000 of inventory in December 2019. The remaining cash would be held for liquidity needs. In the following year, you would deliver this inventory to the customer.…
Use EXCEL to solve this problem and show the formula!
If you had $100,000 available for investing, which of these companies would you choose to invest with? Support your answer with analysis of free cash flow, based on the data provided, and include in your decision whatever other reasoning you chose to utilize.
Assume that an officer of ZED Bank wants to execute a transaction with the following characteristics using the risk-adjusted return on capital (RAROC) model:▪ Probability of default (PD) = 45 basis points▪ Loss given default (LGD) = 50%▪ Exposure at default (EAD) = US$ 2.0 million▪ The risk-free rate of return is 6%This is a loan to an agricultural company and the bank’s economic capital (EC) model delivers the following charge for the firm: EC of exposure = 5% of EAD, which is US$ 100,000. Assume that the bank has set a RAROC hurdle rate of 15% and this transaction has a net profit of US$ 12,000 before other adjustments.REQUIRED:1. Compute the bank’s risk-adjusted rate of return on the loan to an agricultural company? 2. Now assume that the bank could also have made a loan for the same amount and net profit of US$ 12,000 before other adjustments to a chemical manufacturing firm, and that the EC = 2.5% in this case. 3. Which loan between the two should the bank grant and why?
Good day! I want you to answer only letter (2a).Note that PW, AW, and FW means (Present Worth)(Annual Worth) and (Future Worth)This is how you answer the problem. Identify first the given. Next identify what is being ask in the problem.Third show me the Formula first before you plug-in the given into it ,i want to study and learn from your solution
A)What is the amount of RSA, RSL and the income gap amount? B) Calculate the duration gap. C)What is the change in this bank’s net income if the interest rises by 1%, does it go up or does it go down? Show work D) What happens when the interest rises by 1% to this bank’s asset value, liability value and the net worth in dollar amounts? Show work.
Use the following data for a home health firm to answer the following question. Net income after taxes: $1,000,000 Depreciation: 300,000 Interest: 100,000 Capital expenditures: 400,000 Working capital expenditures: 500,000 Long-term debt: 1,000,000 Income taxes:400,000 What is the current value of “free cash flow”?

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