Answer:
Green Bay Packers
The limitations and constraints of a not-for-profit association are:
1. Unlimited liability of the club members: This means that the members could be exposed to personal financial liability arising from their membership of the club. When the club is unable to meet its debt obligations, individual members will be held liable for the remaining debts.
2. An unincorporated association is subject to liquidation at the slightest event. In the event of the members' death, the association will not be able to continue.
3. A unincorporated not-for-profit organization may not be able to attain credibility as much as an incorporated organization. This disadvantage limits its ability to raise external finance.
Explanation:
The Green Bay Packers is a football club under the NFL. It is a not-for-profit association. Therefore, members do not enjoy the benefits arising from limited liability.
It is desired to partition customers into similar groups on the basis of their demographic profile. Which data mining problem is best suited to this task
Answer: Clustering
Explanation:
Data mining simply has to do with getting of usable data which are extracted simply from raw data. The data mining problem that is best suited to this task is clustering.
Clustering simply means when structures are found in data which are usually thesame. Since we want to partition customers into similar groups on the basis of their demographic profile, clustering will be used.
OHARA COMPANY
Income Statement
For the Year Ended December 31, 2017
Net sales $2,218,500
Cost of goods sold 1,012,400
Selling and administrative expenses 906,000
Interest expense 78,000
Income tax expense 69,000
Net income $ 153,100
OHARA COMPANY
Balance Sheet
December 31, 2017
Assets
Current assets
Cash $ 60,100
Debt investments 84,000
Accounts receivable (net) 169,800
Inventory 145,000
Total current assets 458,900
Plant assets (net) 575,300
Total assets $ 1,034,200
Liabilities and Stockholders’ Equity
Current liabilities
Accounts payable $ 160,000
Income taxes payable 35,500
Total current liabilities 195,500
Bonds payable 200,000
Total liabilities 395,500
Stockholders’ equity
Common stock 350,000
Retained earnings 288,700
Total stockholders’ equity 638,700
Total liabilities and stockholders’ equity
$1,034,200
Additional information: The net cash provided by operating activities for 2017 was $190,800. The cash used for capital expenditures was $92,000. The cash used for dividends was $31,000. The weighted-average number of shares outstanding during the year was 50,000.
(i) Working capital. (2016: $160,500; 2017: $263,400)
(ii) Current ratio. (2016: 1.65:1; 2017: 2.35:1)
(iii) Free cash flow. (2016: $48,700; 2017: 67,800)
(iv) Debt to assets ratio. (2016: 31%; 2017: 38.2%)
(v) Earnings per share. (2016: $3.15; 2017: $3.06)
Answer:
Explanation:
From the given information, the ratio analysis for the year 2017 at OHARA Company can be computed as follows:
1. Working capital = Current (assets - liabilities)
Working capital = $458900 - $195500
Working capital = $263,400 (for 2017)
Given that the working capital for 2016 = $160,500
Thus, the % increase of 2017 over 2016 = 64.11% increase.
2. Current ratio = Current assets / Current liabilities
Current ratio = 458,900/195,500
Current ratio = 2.35 (for 2017)
Given that the Current ratio for 2016 = 1.65
Thus, the % increase of 2017 over 2016 = 42.43% increase
3. Free cash flows = Operating cash flows - Capital expenditure - dividends
Free cash flows = $190800 - $92000 - $31000
Free cash flows = $67,800
Given that the free cash flow for 2016 = $48,700
Thus, the % increase of 2017 over 2016 = 39.22%
4.
[tex]Debt to assets ratio = \dfrac{Total \ debt} { total \ assets}[/tex]
Debt to assets ratio = 395,500/10,34,200
Debt to assets ratio = 38.24%
Given that the debt to assets ratio for 2016 = 31%
Thus, the % increase of 2017 over 2016 = 23.35%
5.
Earnings per share = [tex]\dfrac{earnings \ available \ to \ equity \ shares}{weighted \ a verage \ equity \ shares}[/tex]
Earnings per share = [tex]\dfrac{153100}{50000}[/tex]
Earnings per share = $3.06
Given that the earnings per share = $3.15
Thus, the % decrease of 2017 over 2016 = 2.86%
There are 3 term securities available with the following series of 1-year interest rates:Security A:5%, 4%, 3%, 3%, 4%Security B:4%, 2%, 3%, 5%, 6%Security C:5%, 3%, 3%, 4%, 5%Assume the expectations theory (without uncertainty) of the term structure is correct:(a)Calculate the term structure interest rates for maturities of 1 to 5 years, for all 3 securities.(b)Draw the yield curves for the 3 term securities of length 1 to 5 years.(c)Which security, if you must choose 1, will you buy if you plan to have it mature in 3 years
Answer:
Hello attached below is a detailed solution to your question
A) attached below
B) attached below
C) Security A
Explanation:
A) calculate the term structure interest rates for maturities of 1 to 5 years for all 3 securities
we will use expectation hypothesis ;
B) Draw the yield curves for the 3 term securities of length 1 to 5 years
- (1+ yield(t))= ( 1 + rate(1) )* ......
C) The security to choose if you plan to have it mature in 3 years is SECURITY A this is because it has maximum yield
Why did Steve and Vic focused on smaller cities rather than Silicon Valley
Answer:
focusing on smaller cities rather than areas like silicon valley a good strategy, why? Larger cities have a lot more competition and a great way to help others in smaller cities with money and jobs. They can have their businesses all over the world and be able to give success to everyone.
Explanation:
there is your answer
Duffy-Deno (2003) estimated that the demand function for broadband service was Qs = 15.6p−0.563 for small firms and Ql = 16.0p−0.296 for larger ones. These two demand functions cross. What can you say about the elasticities of demand on the two demand curves at the point where they cross? What can you say about the elasticities of demand more generally (at other prices)? (Hint: The question about the crossing point may be a red herring. Explain why.)
Answer:
At point of intersection ; p = $0.90 The elasticities of the demand functions remain the same because they are independent functions during the entire demand curveExplanation:
First we Determine the elasticity of demand for both Large firm and smaller firms
For Larger firms
∈1 = -0.296
For smaller firms
∈s = -0.563
At the point of crossing Determine the price at the point of crossing of the demand curves
Qs = Ql
the price at intersection ( P ) = $0.90
what can be said about the elasticities of demand is that the elasticities of the demand functions remain the same because they are independent during the entire demand curve
Extended warranties
Carnes Electronics sells consumer electronics that carry a 90-day manufacturer’s warranty. At the time of purchase, customers are offered the opportunity to also buy a two-year extended warranty for an additional charge. During the year, Carnes received $412,000 for these extended warranties (approximately evenly throughout the year).
Required:
1.Does this situation represent a loss contingency? Why or why not? How should it be accounted for?
2.Prepare journal entries that summarize sales of the extended warranties (assume all credit sales) and any aspects of the warranty that should be recorded during the year.
Solution :
1. This is not a loss contingency as extended warranty is being priced as well sold separately from warranted products and therefore constitutes the separate sales transaction.
2.
Event General Journal Debit Credit
1 Cash $412,000
Unearned revenue -- extended warranties $412,000
2. Unearned revenue -- extended warranties $ 57937.50
Revenue - Extended Warranties $ 57937.50
Working :
The manufacturer provided 90 days which is 3 months of free warranty. Thus a customer who is purchasing the extended warranty is for 09 months.
Now amount received by Carnes Electronics for the extended warranty in one year = $412,000
So, [tex]$\$ 412,000 \times \frac{9}{12}= \$309000$[/tex] of sales.
The warranty is for two years and so 4.5 months in one year.
Therefore the revenue earned on the extended warranty is :
[tex]$\$309000 \times \frac{4.5 \text{ months}}{24 \text{ months}}$[/tex]
= $ 57937.50