BUSINESS ANALYSIS
select business that publicly trades on the New York Stock Exchange or NASDAQ
1. the company`s name on its name history if the name changed
since the company was originally formed ( consider mergers
etc.)
2. company`s trademark(s)
3. location of the company`s home office and whether they have offices located outside the US (if so, identify location(s))
4. description of the company`s general products or serviced
5. the company`s mission statement or business philosophy
6. whether the company is publicly traded and if so, the stock exchange on which the company`s shares are traded
7. the current CEO and summary of his/her business background
8. the identity on one of the company`s primary competitors
9. summary of the company`s corporate ethics policy and the URL to this policy
10. summary of company press release dated July 1, 2017 or later
11. summary of lawsuit in which the company has been involved as a plaintiff or as a defendant
In: Economics
The case states that the firm of Abernethy and Chapman is considering the acceptance of clients that are publicly traded. What specific steps would the firm have to take before they could accept an audit client that is publicly traded?
In: Accounting
A) What is the cyclical deficit, and when is it appropriate to have such a deficit? Why?
B) How do automatic stabilizers, on both the expenditure and revenue sides of the budget, respond during a recession?
C) Use the table below to answer the following questions. The
federal deficit fell from $1,300 billion in 2011 to $680 billion in
2013. How much of this change was due to the growing economy? How
much of this change was the result of fiscal restraint ?
| Fiscal Year | Budget Balance | = | Cyclical Component | + | Structural Component |
| 2000 | 236 | 58 | 178 | ||
| 2001 | 128 | −1 | 129 | ||
| 2002 | −158 | −83 | −75 | ||
| 2003 | −378 | −107 | −271 | ||
| 2004 | −413 | −58 | −355 | ||
| 2005 | −318 | −20 | −298 | ||
| 2006 | −248 | -11 | −259 | ||
| 2007 | −161 | -17 | −178 | ||
| 2008 | −459 | −26 | −433 | ||
| 2009 | −1,413 | −251 | −1,162 | ||
| 2010 | −1,294 | −300 | −994 | ||
| 2011 | −1,300 | −254 | −1,046 | ||
| 2012 | −1,087 | −191 | −896 | ||
| 2013 | −680 | −189 | −491 |
In: Economics
A regression model to predict Y, the state-by-state 2005 burglary crime rate per 100,000 people, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bankruptcies per 1,000 people, X3 = 2004 federal expenditures per capita, and X4 = 2005 high school graduation percentage.
| Predictor | Coefficient |
| Intercept | 4,286.0597 |
| AgeMed | -26.986 |
| Bankrupt | 18.5775 |
| FedSpend | -0.0280 |
| HSGrad% | -28.5624 |
(a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.)
yˆy^ = + AgeMed + Bankrupt + FedSpend + HSGrad%
(b-1) The 2005 state-by-state crime rate per 100,000
| increases by about 27 as the state median age increases. | |
| decreases by about 27 as the state median age increases. |
(b-2) The 2005 state-by-state crime rate per 100,000
| increases by about 19 for every 1,000 new bankruptcies filed. | |
| decreases by about 19 for every 1,000 new bankruptcies filed. |
(b-3) The 2005 state-by-state crime rate per 100,000
| decreases by 0.028 for each dollar increase in federal funding per person. | |
| increases by 0.028 for each dollar increase in federal funding per person. |
(b-4) The 2005 state-by-state crime rate per 100,000
| decreases by about 29 for each 1% increase in high school graduations. | |
| increases by about 29 for each 1% increase in high school graduations. |
(c) Would the intercept seem to have meaning in this regression?
| No | |
| Yes |
(d) Make a prediction for Burglary when X1= 34 years, X2= 7.2 bankruptcies per 1,000, X3= $5,044, and X4= 84 percent.
Burglary Rate
rev: 09_26_2016_QC_CS-62964, 09_20_2017_QC_CS-101173
In: Statistics and Probability
A regression model to predict Y, the state-by-state 2005 burglary crime rate per 100,000 people, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bankruptcies per 1,000 people, X3 = 2004 federal expenditures per capita, and X4 = 2005 high school graduation percentage. Predictor Coefficient Intercept 4,304.4610 AgeMed -26.903 Bankrupt 20.8921 FedSpend -0.0312 HSGrad% -29.1815 (a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.) yˆ =_____ + _____ AgeMed + _______ Bankrupt + _____ FedSpend + ______ HSGrad%
(b-1) The 2005 state-by-state crime rate per 100,000
increases by about 27 as the state median age increases.
decreases by about 27 as the state median age increases.
(b-2) The 2005 state-by-state crime rate per 100,000
decreases by about 21 for every 1,000 new bankruptcies filed.
increases by about 21 for every 1,000 new bankruptcies filed.
(b-3) The 2005 state-by-state crime rate per 100,000
decreases by 0.0312 for each dollar increase in federal funding per person.
increases by 0.0312 for each dollar increase in federal funding per person.
(b-4) The 2005 state-by-state crime rate per 100,000
decreases by about 29 for each 1% increase in high school graduations.
increases by about 29 for each 1% increase in high school graduations.
(c) Would the intercept seem to have meaning in this regression?
Yes No
(d) Make a prediction for Burglary when X1 = 30 years, X2 = 5.0 bankruptcies per 1,000, X3 = $5,723, and X4 = 80 percent.
(Round your answers to 4 decimal places.)
Burglary Rate $_______
In: Statistics and Probability
A regression model to predict Y, the state-by-state 2005 burglary crime rate per 100,000 people, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bankruptcies per 1,000 people, X3 = 2004 federal expenditures per capita, and X4 = 2005 high school graduation percentage.
| Predictor | Coefficient |
| Intercept | 4,286.0597 |
| AgeMed | -26.986 |
| Bankrupt | 18.5775 |
| FedSpend | -0.0280 |
| HSGrad% | -28.5624 |
(a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.)
yˆy^ = + AgeMed + Bankrupt + FedSpend + HSGrad%
(b-1) The 2005 state-by-state crime rate per 100,000
| increases by about 27 as the state median age increases. | |
| decreases by about 27 as the state median age increases. |
(b-2) The 2005 state-by-state crime rate per 100,000
| decreases by about 19 for every 1,000 new bankruptcies filed. | |
| increases by about 19 for every 1,000 new bankruptcies filed. |
(b-3) The 2005 state-by-state crime rate per 100,000
| decreases by 0.028 for each dollar increase in federal funding per person. | |
| increases by 0.028 for each dollar increase in federal funding per person. |
(b-4) The 2005 state-by-state crime rate per 100,000
| decreases by about 29 for each 1% increase in high school graduations. | |
| increases by about 29 for each 1% increase in high school graduations. |
(c) Would the intercept seem to have meaning in this regression?
| No | |
| Yes |
(d) Make a prediction for Burglary when X1= 34 years, X2= 7.2 bankruptcies per 1,000, X3= $5,044, and X4= 84 percent.
Burglary Rate
rev: 09_26_2016_QC_CS-62964, 09_20_2017_QC_CS-1011
In: Statistics and Probability
Select the financial statement of a publicly traded company. Analyze the various financing options the company employed. What other options might you recommend? Why would you recommend them?
In: Finance
|
India's Current Account |
||||||||||||
|
Assumptions (millions USD) |
2004 |
2005 |
2006 |
2007 |
2008 |
2009 |
2010 |
2011 |
2012 |
2013 |
2014 |
|
|
Goods: exports |
77,939 |
102,175 |
123,876 |
153,530 |
199,065 |
167,958 |
230,967 |
307,847 |
298,321 |
319,110 |
329,633 |
|
|
Goods: imports |
-95,539 |
-134,692 |
-166,572 |
-208,611 |
-291,740 |
-247,908 |
-324,320 |
-428,021 |
-450,249 |
-433,760 |
-415,529 |
|
|
Balance on goods |
-17,600 |
-32,517 |
-42,696 |
-55,081 |
-92,675 |
-79,950 |
-93,353 |
-120,174 |
-151,928 |
-114,650 |
-85,895 |
|
|
Services: credit |
38,281 |
52,527 |
69,440 |
86,552 |
106,054 |
92,889 |
117,068 |
138,528 |
145,525 |
148,649 |
156,252 |
|
|
Services: debit |
-35,641 |
-47,287 |
-58,514 |
-70,175 |
-87,739 |
-80,349 |
-114,739 |
-125,041 |
-129,659 |
-126,256 |
-137,597 |
|
|
Balance on services |
2,640 |
5,241 |
10,926 |
16,377 |
18,315 |
12,540 |
2,329 |
13,487 |
15,866 |
22,393 |
18,656 |
|
|
Income: credit |
4,690 |
5,646 |
8,199 |
12,650 |
15,593 |
13,733 |
9,961 |
10,147 |
9,899 |
11,230 |
11,004 |
|
|
Income: debit |
-8,742 |
-12,296 |
-14,445 |
-19,166 |
-20,958 |
-21,272 |
-25,563 |
-26,191 |
-30,742 |
-33,013 |
-36,818 |
|
|
Balance on income |
-4,052 |
-6,650 |
-6,245 |
-6,516 |
-5,365 |
-7,539 |
-15,602 |
-16,044 |
-20,843 |
-21,783 |
-25,815 |
|
|
Current transfers: credit |
20,615 |
24,512 |
30,015 |
38,885 |
52,065 |
50,526 |
54,380 |
62,735 |
68,611 |
69,441 |
69,786 |
|
|
Current transfers: debit |
-822 |
-869 |
-1,299 |
-1,742 |
-3,313 |
-1,764 |
-2,270 |
-2,523 |
-3,176 |
-4,626 |
-4,183 |
|
|
Balance on current transfers |
19,793 |
23,643 |
28,716 |
37,143 |
48,752 |
48,762 |
52,110 |
60,212 |
65,435 |
64,815 |
65,603 |
|
|
Note: The IMF has recently adjusted their line item nomenclature. Exports are all now noted as credits, imports as debits. |
||||||||||||
The balance on services for year 2007 is (in millions) $ ----- (Round to the nearest integer and enter any deficit with a negative sign.)
The balance on services for year 2008 is (in millions) $ ----- (Round to the nearest integer and enter any deficit with a negative sign.)
The balance on services for year 2011 is (in millions) $ ----- (Round to the nearest integer and enter any deficit with a negative sign.)
In: Finance
| Number of U.S. New Car Dealerships, 2003–2009 |
|
| Year | Dealerships |
| 2003 | 21,725 |
| 2004 | 21,650 |
| 2005 | 21,640 |
| 2006 | 21,495 |
| 2007 | 20,770 |
| 2008 | 20,010 |
| 2009 | 18,460 |
| (a) |
Use Excel, MegaStat, or MINITAB to fit three trends (linear, quadratic, exponential) to the time series. (A negative value should be indicated by a minus sign. Do not round the intermediate calculations.Round your final answers to 4 decimal places.) |
FILL IN "_____" IN LINEAR AND QUADRATIC
| Linear | yt = -498.035t + ____ |
| Quadratic | yt = -146.25t2 + 671.96t + _____ |
| Exponential | yt = 22934e -.025t |
| (b-1) | Use each of the three fitted trend equations to make numerical forecasts for the next 3 years. (Do not round the intermediate calculations.Round your final answers to 1 decimal place.) |
FILL IN EXPONENTIAL
| t | Linear | Quadratic | Exponential |
| 8 | 18829.3 | 17074.3 | |
| 9 | 18331.3 | 15260.0 | |
| 10 | 17833.2 | 13153.2 | |
In: Statistics and Probability
The following data is provided for the S&P 500 Index:
| Year | Total Return | Year | Total Return |
| 1988 | 16.81% | 1998 | 28.58% |
| 1989 | 31.49% | 1999 | 21.04% |
| 1990 | -3.17% | 2000 | -9.11% |
| 1991 | 30.55% | 2001 | -11.88% |
| 1992 | 7.67% | 2002 | -22.10% |
| 1993 | 9.99% | 2003 | 28.70% |
| 1994 | 1.31% | 2004 | 10.87% |
| 1995 | 37.43% | 2005 | 4.91% |
| 1996 | 23.07% | 2006 | 15.80% |
| 1997 | 33.36% | 2007 | 5.49% |
Refer to the information above. Calculate the 20-year arithmetic average annual rate of return on the S&P 500 Index.
Question 22 options:
|
13.04% |
|
|
11.81% |
|
|
10.56% |
|
|
none of the above |
In: Finance