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Final Project Part II Part II

Overview For this part of the final project, you will be given a scenario in which you are asked to illustrate your financial computation and analysis skills. This part of the assessment addresses the following course outcomes:

Compute financial ratios, time value, variables, and returns using industry standard tools for optimizing financial success.

Analyze corporate financial data for multiple companies in evaluating past and future financial performances.

Part II Prompt

For this section of your employment exam, you will select two companies.

The first company needs to come from your TDAU thinkorswim portfolio which is (Verizon). The second needs to be a competitor of the first company from the same industry. (Sprint).

You will be responsible for collecting, synthesizing, and making decisions regarding both companies. After evaluating these companies’ financial data, you will then decide which company’s stock is the better investment.

This section of your employment examination must be submitted in two parts. Part A will contain the workbooks that house all of your quantitative data and formulas, along with any of the information that is relevant for your chosen companies. Part B will contain your answers to the questions asked below, composed in a cohesive manner. If you are referring to data that is found within the workbooks in Part A, be sure to include a citation—for example, “rate of return is 3.570 USD (E64, WB2),” where E64 is the cell that the calculation took place in and WB2 is designating “workbook 2.” This ensures that your instructor can quickly and accurately check data entry, formula use, and financial calculations.

Your submission must address the following critical elements:

Preparing the Workbooks

A. Download the annual income statements, balance sheets, and cash flow statements for the last three completed fiscal years for your chosen companies. This information must be included in your final submission.

B.. Prepare a worksheet for each of the companies to display their financial data for the last three fiscal years. Ensure your data is accurate and organized. Include these worksheets as a workbook in your final submission.

C.. Find historical stock prices for both companies and add this information to the respective spreadsheets. Consider the appropriate date range you should use

II. Three-Year Returns

A. What is the three-year return on the stock price of the first company (Company A, Verizon)? How is the stock performing? Ensure that you use the appropriate formula in your spreadsheets to calculate the three-year return on the given company’s stock price.

B. What is the three-year return on the stock price of the second company (Company B, Sprint)? How is this stock performing? Ensure that you use the appropriate formula in your spreadsheets to calculate the three-year return on your chosen company’s stock price.

C. How do these two stocks compare in terms of three-year returns? What does this indicate about these two companies?

III. Financial Calculations:

A. Using the appropriate spreadsheets, which are to be included in the workbooks, calculate the price-to-earnings ratio for the last three fiscal years of the given and your chosen companies. Be sure that you are entering and using the correct formula.

B. Using the appropriate spreadsheets, which are to be included in the workbooks, calculate the debt-to-equity ratios for the last three fiscal years of the given and your chosen companies. Be sure that you are entering and using the correct formula.

C. Using the appropriate spreadsheets, which are to be included in the workbooks, calculate the return-on-equity ratios for the last three fiscal years of the given and your chosen companies. Be sure that you are entering and using the correct formula.

D. Using the appropriate spreadsheets, which are to be included in the workbooks, calculate the earnings per share for the last three fiscal years of the given and your chosen companies. Be sure that you are entering and using the correct formula.

E. Using the appropriate spreadsheets, which are to be included in the workbooks, calculate the profit margins for the last three fiscal years of the given and your chosen companies. Be sure that you are entering and using the correct formula.

F. Using the appropriate spreadsheets, which are to be included in the workbooks, calculate the free cash flows for the last three fiscal years of the given and your chosen companies. Be sure that you are entering and using the correct formula.

IV. Industry Averages

A. Obtain current industry averages of three of the financial calculations above for both companies and add this information to your spreadsheet for comparison. Ensure the accuracy and organization of your data.

B. In this context, how is each company’s financial health? How do these two companies compare to one another? Consider the appropriate date range you should use.

V. Performance Over Time

A. Analyze the performance of the Company A over time. What financial strengths and weaknesses does this company have? Consider addressing the free cash flows and ratios you calculated earlier. B. Analyze the performance of your Company B over time. What financial strengths and weaknesses does this company have? Consider addressing the free cash flows and ratios you calculated earlier. C. Analyze how the data differ between these two companies. Why do you think this is? Consider addressing the free cash flows and ratios you calculated earlier.

VI. Investment

A. Are the companies considered growth or value companies? Why?

B. Which company’s stock is the better investment? Consider supporting your answer with data.

Answer: Part A: Workbooks Workbook 1: Verizon Financial Data To prepare the wo...

The purpose of this exercise consists in computing a VaR measure for a $1 million trading portfolio of an investment bank. The portfolio is composed of $300,000 of Emera (EMA) stock, $200,000 of Clearwater Seafoods (CLR) stock and $500,000 of Royal Bank (RY) stock. The file 2017_prices.xlsx (that can be downloaded from Brightspace) contains daily historical closing prices over the last year (2017) for the three stocks. (The prices have already been adjusted for splits or dividends.)

1) Calculate the daily (logarithmic/geometric) returns for each of the stocks over the sample period. Using “Tools/Data Analysis/Descriptive statistics” calculate the mean, standard deviation, kurtosis, and skewness for each of the historical distributions of returns. Based on these statistics, do the historical distributions of returns of the three stocks look like the normal distribution? (explain)

2) Using “Tools/Data Analysis/Histogram” visually inspect the historical distribution of returns of each of the stocks. Do they resemble to the normal distribution?

3) What are the VaRs (1.5%,1 day) and VaRs(1.5%, 20 days) at the end of 2017 of the investments in each of the stocks if they were held separately and assuming a normal distribution of daily returns? Answer using the parametric method for computing the VaR with the standard deviations obtained in 1), and the function “normsinv” for deriving the value of the standard normal deviate (alpha) corresponding to the chosen confidence level.

4) By assuming a normal distribution for the daily returns, what is the portfolio VaR(1.5%,1 day) at the end of 2017? (Use “Tools/Data analysis/Correlation” to compute the correlations of the daily returns of the three stocks.) What can you say if you compare the portfolio VaR with the sum of the VaRs obtained in 3)?

5) Compute the historical VaR (1.5%,1-day) at the end of 2017 of the position on the RY stock. Compare and interpret the differences between the VaR(1.5%,1-day) estimates from the two different VaR models for the position in the RY stock.

6) Compute the Monte Carlo VaR (1.5%,1-day) at the end of 2017 of the position in the RY stock assuming a normal distribution of returns and 5,000 simulations. Compare

and interpret the differences between the VaR(1.5%,1-day) estimates from the three different VaR models for the position in the RY stock. (You can use either Excel or @Risk available in the Bloomberg Lab or trial student version).

7) For the RY stock, compute the standard deviation of its returns for each day using the returns from the previous 20 trading days. Compute the VaR(1.5%,1 day) for each day using the standard deviation of returns for 20 previous days (thus, you obtain a dynamic VaR). Plot the bank’s daily returns together with each day VaR and compute the number of times the daily return exceeded the VaR (remember that the VaR corresponds to a loss). Is the result coherent with the confidence level you use for computing the VaR?

8) What is the portfolio VaR(1.5%,1 day) at the end of 2017 using the historical simulation approach rather than by assuming normal distributions as in 4)? (Hint: Rank the daily portfolio returns using for example the function “sort” or use a function for finding a percentile.)

Name ROYAL BANK OF CANADA EMERA CLEARWATER SEAFOODS
2017/1/2 90.87 45.39 11.65
2017/1/3 91.5 45.19 11.35
2017/1/4 92.84 45.59 10.57
2017/1/5 92.82 45.59 10.5
2017/1/6 92.72 45.43 10.48
2017/1/9 92.52 45.42 10.43
2017/1/10 92.97 45.28 10.13
2017/1/11 93.89 45.22 10.36
2017/1/12 93.75 45.28 10.22
2017/1/13 94.5 45.37 10.3
2017/1/16 94.27 45.65 10.37
2017/1/17 93.58 45.79 10.22
2017/1/18 93.29 45.76 10.35
2017/1/19 93.28 45.88 10.35
2017/1/20 94.17 45.99 10.47
2017/1/23 94.09 45.66 10.5
2017/1/24 93.38 45.68 10.55
2017/1/25 93.99 46.11 10.51
2017/1/26 94.36 46.12 10.73
2017/1/27 94.47 45.94 10.73
2017/1/30 94.06 44.88 10.32
2017/1/31 93.56 45.44 10.12
2017/2/1 93.69 44.95 10.11
2017/2/2 93.76 45.2 10.11
2017/2/3 94.6 45.22 10.35
2017/2/6 94.67 45.26 10.23
2017/2/7 95.28 45.88 10.64
2017/2/8 95.42 46.27 10.67
2017/2/9 96.17 46.18 10.69
2017/2/10 96.84 46.11 10.66
2017/2/13 97.12 45.64 10.57
2017/2/14 97.46 45.16 10.78
2017/2/15 98.53 45.45 11.09
2017/2/16 98.68 45.41 10.98
2017/2/17 99.09 45.27 11.23
2017/2/20 99.09 45.27 11.23
2017/2/21 99.19 45.18 10.99
2017/2/22 98.52 45.3 10.78
2017/2/23 98.26 45.51 10.78
2017/2/24 96.61 45.23 10.72
2017/2/27 96.72 45.22 10.85
2017/2/28 96.48 45.55 10.57
2017/3/1 97.53 45.51 10.41
2017/3/2 97.94 45.59 10.38
2017/3/3 98.29 45.42 10.48
2017/3/6 99.13 45.2 10.07
2017/3/7 98.74 45.72 10.1
2017/3/8 98.35 45.52 10.8
2017/3/9 98.31 45.62 10.59
2017/3/10 97.66 45.49 10.21
2017/3/13 97.44 45.55 10.5
2017/3/14 97.27 45.25 10.21
2017/3/15 96.66 45.77 10.37
2017/3/16 97.31 45.73 10.33
2017/3/17 96.76 46.14 10.45
2017/3/20 96.29 45.88 10.27
2017/3/21 95.43 46.14 10.29
2017/3/22 95.21 46.69 10.51
2017/3/23 96.64 46.98 10.45
2017/3/24 96.55 47.37 10.44
2017/3/27 96.79 47.28 10.49
2017/3/28 97.82 47.08 10.25
2017/3/29 98.19 47.05 10.38
2017/3/30 97.87 46.98 10.49
2017/3/31 96.89 46.98 10.48
2017/4/3 96.79 46.98 10.37
2017/4/4 96.88 46.97 10.24
2017/4/5 97.04 47.17 10.2
2017/4/6 97.81 47.1 10.2
2017/4/7 97.32 47.14 10.26
2017/4/10 97.18 47.21 10.23
2017/4/11 96.84 47.49 10.38
2017/4/12 96.06 47.69 10.3
2017/4/13 94.63 47.35 10.21
2017/4/14 94.63 47.35 10.21
2017/4/17 95.92 47.44 10.29
2017/4/18 95.43 47.43 10.35
2017/4/19 95.18 47.14 10.35
2017/4/20 95.78 47.36 10.45
2017/4/21 94.55 47.49 10.44
2017/4/24 96.07 47.73 10.37
2017/4/25 97.03 47.57 10.45
2017/4/26 95.47 47.69 10.39
2017/4/27 93.66 47.26 10.58
2017/4/28 93.47 47.25 10.58
2017/5/1 93.28 47.33 10.52
2017/5/2 92.66 47.29 10.52
2017/5/3 92.8 47.14 10.5
2017/5/4 92.75 47.06 10.38
2017/5/5 93.74 47.39 10.49
2017/5/8 94.18 47.57 10.39
2017/5/9 92.94 47.21 10.37
2017/5/10 93.33 47.14 10.37
2017/5/11 92.75 47.02 10.57
2017/5/12 92.48 47.01 11.16
2017/5/15 93.62 47.02 11.34
2017/5/16 93.03 46.9 11.75
2017/5/17 91.45 46.67 11.6
2017/5/18 92.42 46.7 11.28
2017/5/19 93.02 47.06 11.74
2017/5/22 93.02 47.06 11.74
2017/5/23 93.53 47.51 11.63
2017/5/24 93 47.64 11.68
2017/5/25 93.74 47.77 11.56
2017/5/26 93.92 47.81 11.65
2017/5/29 94.47 47.6 11.69
2017/5/30 93.54 47.85 11.67
2017/5/31 93.37 48.18 11.45
2017/6/1 93.8 48.59 11.61
2017/6/2 93.76 48.78 11.63
2017/6/5 93.57 48.86 11.5
2017/6/6 92.81 48.9 11.62
2017/6/7 93.1 48.89 11.63
2017/6/8 93.97 48.89 11.65
2017/6/9 95.28 48.63 11.7
2017/6/12 94.26 48.18 11.74
2017/6/13 93.89 48.19 11.74
2017/6/14 93.36 48.33 11.54
2017/6/15 93.63 48.61 11.47
2017/6/16 93.55 48.64 11.3
2017/6/19 94.3 48.45 11.22
2017/6/20 93.76 48.48 11.15
2017/6/21 93.28 48.67 11.26
2017/6/22 94.02 48.64 11.24
2017/6/23 94.12 48.86 11.14
2017/6/26 93.99 48.86 11.42
2017/6/27 94.1 48.8 11.52
2017/6/28 95.06 48.89 11.52
2017/6/29 94.7 48.61 11.46
2017/6/30 94.16 48.21 11.42
2017/7/3 94.16 48.21 11.42
2017/7/4 94.18 47.85 11.36
2017/7/5 94.96 48.02 11.34
2017/7/6 95.13 47.44 11.27
2017/7/7 95.09 47.34 11.2
2017/7/10 94.9 47.22 11.25
2017/7/11 95.02 47.13 11.43
2017/7/12 94.9 47.16 11.58
2017/7/13 95.1 46.91 11.9
2017/7/14 95.25 46.73 11.87
2017/7/17 95.16 46.96 11.37
2017/7/18 94.68 46.92 11.2
2017/7/19 94.91 47.01 11.06
2017/7/20 95.21 47.27 11.2
2017/7/21 94.75 47.21 11.14
2017/7/24 93.67 47.14 11.14
2017/7/25 93.89 46.7 11.2
2017/7/26 93.25 46.64 11.6
2017/7/27 93.22 46.68 11.42
2017/7/28 92.77 46 11.3
2017/7/31 93.01 46.4 11.14
2017/8/1 93.4 46.89 11.24
2017/8/2 94.12 47 11.03
2017/8/3 93.96 46.8 10.77
2017/8/4 94.52 46.92 10.55
2017/8/7 94.52 46.92 10.55
2017/8/8 94.71 46.74 10.27
2017/8/9 94.32 46.87 10.11
2017/8/10 92.88 46.7 10.07
2017/8/11 92.51 46.95 10.33
2017/8/14 93.54 46.93 10.6
2017/8/15 93.33 47.29 10.62
2017/8/16 92.96 47.37 10.83
2017/8/17 92.5 47.32 10.83
2017/8/18 92.25 47.24 10.61
2017/8/21 92.07 47.2 10.31
2017/8/22 92.01 47.32 10.24
2017/8/23 93.01 47.82 10.43
2017/8/24 92.92 47.87 10.32
2017/8/25 93.25 47.87 10.48
2017/8/28 93.04 47.95 10.34
2017/8/29 92.84 47.93 10.49
2017/8/30 92.35 48.01 10.87
2017/8/31 92.68 47.96 11.07
2017/9/1 92.11 47.8 10.89
2017/9/4 92.11 47.8 10.89
2017/9/5 90.77 47.99 10.69
2017/9/6 90.89 47.73 10.56
2017/9/7 90.46 47.82 10.64
2017/9/8 90.53 47.67 10.37
2017/9/11 91.06 47.39 10.5
2017/9/12 91.82 47.04 10.55
2017/9/13 92.15 46.38 10.41
2017/9/14 92.1 46.59 10.35
2017/9/15 91.97 45.99 10.32
2017/9/18 92.17 46.28 10.19
2017/9/19 92.98 46.22 10.08
2017/9/20 93.69 46.29 9.72
2017/9/21 94.23 46.49 9.69
2017/9/22 94.4 46.4 9.65
2017/9/25 94.45 46.89 9.29
2017/9/26 94.49 46.7 9
2017/9/27 95.44 46.69 9.16
2017/9/28 95.93 46.98 9.18
2017/9/29 96.54 47.26 8.99
2017/10/2 97.07 47.43 9.13
2017/10/3 97.83 47.36 9.34
2017/10/4 97.74 47.5 9.21
2017/10/5 98.19 47.93 9.09
2017/10/6 98.11 48.01 9.07
2017/10/9 98.11 48.01 9.07
2017/10/10 98.33 48.08 9.18
2017/10/11 98.83 48.17 9.1
2017/10/12 98.56 48.36 8.88
2017/10/13 99.08 48.17 9.06
2017/10/16 99.28 48.33 8.89
2017/10/17 99.78 48.58 8.94
2017/10/18 100.07 48.45 9.02
2017/10/19 100.82 48.47 9
2017/10/20 101.23 48.47 8.87
2017/10/23 101.42 48.62 8.8
2017/10/24 102.1 48.61 8.97
2017/10/25 100.26 48.76 8.68
2017/10/26 101.02 48.9 8.94
2017/10/27 101.17 48.92 8.82
2017/10/30 100.94 49.35 8.92
2017/10/31 100.87 48.6 8.93
2017/11/1 100.76 48.14 8.79
2017/11/2 101.32 48.05 8.91
2017/11/3 101.42 48.26 8.9
2017/11/6 101.39 48.58 8.88
2017/11/7 101.35 48.71 8.84
2017/11/8 101.06 48.53 9.31
2017/11/9 100.69 48.47 7.76
2017/11/10 99.84 48.46 7.16
2017/11/13 100.04 47.5 7.26
2017/11/14 99.94 47.3 7.01
2017/11/15 99.92 47.4 7.1
2017/11/16 100.54 47.7 7.1
2017/11/17 100.89 47.63 7.21
2017/11/20 101.01 47.69 7.16
2017/11/21 100.92 47.87 7.08
2017/11/22 101.33 48.42 7.2
2017/11/23 101.02 48.42 7.34
2017/11/24 101.06 48.63 7.56
2017/11/27 101 48.91 7.31
2017/11/28 100.45 48.93 7.34
2017/11/29 101.38 48.38 7.25
2017/11/30 100.85 48.56 7.38
2017/12/1 101.16 48.8 7.37
2017/12/4 101.31 48.66 7.15
2017/12/5 100.94 48.46 7.26
2017/12/6 101.3 49.3 7.27
2017/12/7 101.99 47.83 7.37
2017/12/8 102.47 48.13 7.44
2017/12/11 101.83 48.2 7.79
2017/12/12 102.05 47.93 7.72
2017/12/13 102.11 47.78 7.69
2017/12/14 101.46 47.64 7.65
2017/12/15 101.92 47.98 7.54
2017/12/18 102.32 47.75 7.55
2017/12/19 102.66 47.35 7.64
2017/12/20 102.39 47.3 7.54
2017/12/21 102.85 47.12 7.42
2017/12/22 102.45 46.82 7.45
2017/12/25 102.45 46.82 7.45
2017/12/26 102.45 46.82 7.45
2017/12/27 102.22 46.69 7.29
2017/12/28 102.6 47.22 7.26
2017/12/29 102.65 46.98 7.33
Answer: To calculate the daily returns of each stock, we will use the logarith...
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Vapor Trails Income Statement 2015 Vapor Trails Balance Sheet
Sales $18,750,000 2015 2014 2015 2014
COGS $15,375,000 Cash $970,000 $840,000 A/P $790,000 $610,000
Depr $1,100,000 A/R $625,000 $595,000 Accruals $216,000 $195,000
EBIT $2,275,000 Inventory $1,650,000 $1,390,000 CurrentNotes Pay $600,000 $400,000
Interest $120,000 Net Fixed Assets $8,320,000 $8,100,000 LT Debt $3,200,000 $3,200,000
EBT $2,155,000 Preferred $500,000 $500,000
Taxes $797,350 Common Equity $6,259,000 $6,020,000
Net Income $1,357,650
Total Assets $11,565,000 $10,925,000 Total Debt & Equity $5,306,000 $4,905,000
Information about Vapor Trails Securities
Bonds Preferred Stock
3,200 5.4% Cpn, 22 yr maturity, priced @ 102.365 Shares Outstanding 5,000 WACC
5,400 4.20% Cpn, 27 yr maturity, priced @ 99.856 Current Price $96.48 Par Amount Pmt PV FV Nper Value
Coupon Rate 5.20% Bonds
Common Equity
Shares Outstanding 216,000 Other Market Data
Current Price $72.15 Tax rate 37.00% Pfd's
Expected Dividend next yr $1.70 Risk Free Rate of Return 1.00%
Expected Dividend Growth 13.80% For yr 2 Expected Market Return 11.60% Common Stock
12.10% for yr 3 and 4 Beta 0.87
10.90% for yr 5 ROE 16.10%
9.10% for yr 6 Plowback 52.00%
Constant after this
Questions about Vapor Trails Corporation
Points
1 Calculate the following Ratios for 2015
Market Capitalization
Debt to Equity
Current ratio
Days in Inventory
Average Collection Period
2 Calculate each of the three components of DuPont and then provide ROE for the Company for 2015
Profit Margin Asset Turnover Rquity Multiplier Dupont
3 Calculate the Weighted Average Cost of Capital
Show your calculations in the WACC Template beginning in Cell k18
4 Calculate the Value of a share of the Company's Stock, based on the expected dividend and CAPM information.
NPV
Calculate the NPV of the following 7yr project
5
Project Life in yrs 7 Year 1 2 3 4 5 6 7
Sales Forecast $ 8,250,000 Growth Rates for Sales 17.25% 15.80% 13.45% 14.20% 11.60% 10.90%
COGS as % of Sales 52.50% Sales
Cap Invest $ 9,000,000 Cogs
Salvage Value $ 1,750,000 Depr
Beg NWC $ 470,000 EBIT
NWC as % of Sales 1.05% Taxes
WACC 10.75% Net Income
Tax Rate 41.00%
Rental Option/yr $ 55,000
Year 0
OCF
Life for Depr 9.00 Cap Invest
Depr per yr NWC
Book Value at End Salvage Value
Opportunity Cost
FCF
NPV
6. Find the Expected Returns, Variance and Standard Deviations for the following Stock, Bond and combined Portfolio consisting of 63% stock and 37% bonds 13
Scenario Probability Stocks Bonds Portfolio
Recession 0.09 -12.10% 9.64%
Weak Growth 0.21 -2.16% 6.10%
Normal 0.56 9.75% 4.15%
Boom 0.14 21.12% -6.37%
Exp Ret Weights:
Var stocks
Std Dev bonds
7. You are going to buy a new home. Your new home will cost $275,000 and you have a down payment of $30,000. If the rate on the 30yr mortgage is 4.25%, what will be your monthly payment?

8. You will begin saving for retirement in a 401k account earning 9.93% with annual contributions of $8,500 for 35yrs. What will be the value of your 401k in 35 years?

This is copy from excel template please calculate it for me and show me how to calculate. you can e-mail to [email protected]

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