In: Finance
Stock Valuation Assignment (Fall 2017 Data)
The purpose of this analysis is to find an intrinsic value for Microsoft (MSFT) using the both the Constant Dividend Discount Model (DDM) and the Non-constant DDM. You will need to (1) estimate Beta in order to calculate the required return for MSFT; (2) estimate dividend growth rate; and (3) estimate future dividends.
Submit your Excel spreadsheet with all data and formulas so that your answers can be replicated. You may answer the questions on the spreadsheet. HOWEVER, WRAP YOUR TEXT!!! I do NOT want to see text running across 40 columns. Remember, Excel is not a word processor. Do a simple draft print to see if your output is in readable form. Follow instructions as written. NEATNESS AND ORGANIZATION MATTERS!
You are analyzing Microsoft to find an intrinsic value for Microsoft (MSFT) using the both the Constant Dividend Discount Model (DDM) and the Non-constant DDM. I have provided you with an Excel spreadsheet of monthly prices (121 months) from Sept 1, 2007 to Sept 1, 2017). These prices have already been adjusted for dividends. List dates and prices out on your spreadsheet in order to calculate monthly returns.
Using the prices provided, calculate the monthly returns for each of the stocks, where r = (Pt/Pt-1) – 1; which is the same as [(Pt-Pt-1)/ Pt-1] as I covered in the Lecture Video. PLEASE NOTE THAT THE DATA IS LISTED FROM SEPT 2007 TO SEPT 2017! SO BE CAREFUL WITH YOUR RETURN FORMULA! There are 121 months to calculate 120 monthly returns. You may post monthly returns as decimals to 6 places or percentages to 4 places. For example, average return for MSFT can be written as .009999 or .9999%.
(10 points)
At the bottom of the column for each stock calculate the Average Monthly Return (use AVERAGE() function) and the Standard Deviation [use STDEV.P()] population function NOT STDEV() sample function).
As a check, you should find your average returns to be: MSFT = 1.2310% and SPY = .6861%.
(5 points)
Calculate and Interpret the Correlation Coefficient (r1,2) between Microsoft (MSFT) and S&P 500 Index (SPY). (use CORREL() function). (5 points)
We can estimate the Beta for MSFT over the 120-month period by running a Regression of SPY returns on the x-axis (independent variable) and MSFT returns on the y-axis (dependent variable). The Beta is the SLOPE of the regression. To find Beta use the SLOPE function in Excel. Be careful use RETURNS NOT prices!
How does your estimate compare to the FinanceYahoo.com beta and the Value Line beta? What does Beta represent? (10 points)
Now, let’s check the stability of Beta. You may again use the SLOPE function in Excel, where SPY is independent & MSFT is dependent variable.
Estimate Beta over the first 60 monthly returns (5 years): October 1, 2007 to September 1, 2012.
Estimate Beta over the second 60 monthly returns (5 years): October 1, 2012 to September 1, 2017.
What is the beta for each period? Is there a substantial difference between the two Betas?
(5 points)
Given the information below, use the CAPM to estimate the required rate of return for MSFT. Round to 2 decimals, e.g., x.xx%, 1.23%
Return on the market portfolio (SPY) RSPY = 9.25% (based on 25 years of historical data); the risk free rate is Rf = 3.0% (based on L-T inflation rate of 2.0% & real return of 1.0%); USE MSFT beta estimate: b = 0.97
(10 points)
Based on past trends and ValueLine estimate, let’s assume MSFT will pay a dividend of $1.64 in 2018. Therefore, let’s assume that D1 = $1.64, because it will not be fully paid until the end of Year 2018. Let’s also assume that MSFT will grow its future dividends at a L-T constant rate of g = 6%. Assuming a required rate of return found in (7) above, estimate the current value of MSFT using the Constant Growth DDM. Assume that D1 = $1.64
(10 points)
Now, using the Value Line sheet, estimate the average growth rate of dividends for MSFT over the last 10 years, from 2007-2017? Round your growth estimate to 4 decimal places. [Hint: The Growth rate (g) can be calculated as CPT i on your calculator or in Excel as a TVM problem.
(5 points)
Two-stage Non-constant DDM: Now let’s assume that for the next four years MSFT will grow its dividends at the growth rate you estimated in (9) above. Assuming D1 = $1.64, what are the dividends for: D2 ; D3 ; D4; and D5 if they grow at the rate estimated in (9)? You may round each dividend estimate to the nearest penny.
(10 points)
Now, let’s assume that the dividend growth reverts back to a L-T sustainable growth rate = 6% after Year 5 to infinity. Estimate is D6 and P5.
(5 points)
Use the Non-constant growth DDM from the Stock Video Lecture (at 17:20) to estimate the current value of MSFT using the dividend information you found in (10) & (11) above; assume a L-T sustainable growth rate of g = 6% after Year 5; and the required rate of return found in (7). [HINT: You already have all the data, not much work left here….find the sum of the PV of the cash flows.]
(10 points)
Which of the two models do you think is more reasonable (Constant DDM or Non-constant DDM)? WHY?
(5 points)
What is the current market price of MSFT? Based on your analysis, would you recommend buying this stock at the current market price? Explain why or why not?
(10 points)
MSFT Stock Valuation - Fall 2017 | ||
September 1, 2007 to September 1, 2017 | ||
Microsoft | S&P 500 Index | |
Date | MSFT | SPY |
9/1/2007 | 23.005114 | 123.184921 |
10/1/2007 | 28.744678 | 125.448433 |
11/1/2007 | 26.238007 | 120.589432 |
12/1/2007 | 27.891703 | 118.602097 |
1/1/2008 | 25.541286 | 112.022667 |
2/1/2008 | 21.310514 | 109.127731 |
3/1/2008 | 22.321413 | 107.619057 |
4/1/2008 | 22.431522 | 113.306641 |
5/1/2008 | 22.274223 | 115.019432 |
6/1/2008 | 21.716801 | 104.881966 |
7/1/2008 | 20.303745 | 104.45945 |
8/1/2008 | 21.543118 | 106.073692 |
9/1/2008 | 21.153511 | 95.53141 |
10/1/2008 | 17.697933 | 80.212509 |
11/1/2008 | 16.025621 | 74.629189 |
12/1/2008 | 15.511801 | 74.753479 |
1/1/2009 | 13.644643 | 69.172134 |
2/1/2009 | 12.886605 | 61.739662 |
3/1/2009 | 14.758518 | 66.407921 |
4/1/2009 | 16.276951 | 73.527817 |
5/1/2009 | 16.783087 | 77.82576 |
6/1/2009 | 19.21818 | 77.337944 |
7/1/2009 | 19.01605 | 83.577255 |
8/1/2009 | 19.929657 | 86.664581 |
9/1/2009 | 20.911688 | 89.312035 |
10/1/2009 | 22.545919 | 88.012207 |
11/1/2009 | 23.911846 | 93.434395 |
12/1/2009 | 24.89135 | 94.709175 |
1/1/2010 | 23.013071 | 91.75856 |
2/1/2010 | 23.413229 | 94.620926 |
3/1/2010 | 24.031397 | 99.969772 |
4/1/2010 | 25.056971 | 101.934349 |
5/1/2010 | 21.167976 | 93.835182 |
6/1/2010 | 18.964071 | 88.558739 |
7/1/2010 | 21.271736 | 95.057457 |
8/1/2010 | 19.343184 | 90.781731 |
9/1/2010 | 20.291504 | 98.384964 |
10/1/2010 | 22.097773 | 102.690292 |
11/1/2010 | 20.929499 | 102.690292 |
12/1/2010 | 23.267279 | 108.982224 |
1/1/2011 | 23.117222 | 112.108025 |
2/1/2011 | 22.158522 | 116.00238 |
3/1/2011 | 21.291574 | 115.514496 |
4/1/2011 | 21.736027 | 119.37632 |
5/1/2011 | 20.972919 | 118.037544 |
6/1/2011 | 21.946026 | 115.473801 |
7/1/2011 | 23.127737 | 113.724846 |
8/1/2011 | 22.452477 | 107.472748 |
9/1/2011 | 21.141701 | 99.497154 |
10/1/2011 | 22.619667 | 110.927917 |
11/1/2011 | 21.727795 | 110.477135 |
12/1/2011 | 22.21661 | 110.927917 |
1/1/2012 | 25.271822 | 116.808311 |
2/1/2012 | 27.163143 | 121.878418 |
3/1/2012 | 27.789909 | 125.249596 |
4/1/2012 | 27.583172 | 124.958702 |
5/1/2012 | 25.1453 | 117.454208 |
6/1/2012 | 26.524225 | 121.590622 |
7/1/2012 | 25.553089 | 123.666451 |
8/1/2012 | 26.723654 | 126.764626 |
9/1/2012 | 25.975487 | 129.288025 |
10/1/2012 | 24.910635 | 127.612816 |
11/1/2012 | 23.234793 | 128.335098 |
12/1/2012 | 23.504921 | 128.569839 |
1/1/2013 | 24.156122 | 136.109879 |
2/1/2013 | 24.464123 | 137.846497 |
3/1/2013 | 25.385376 | 142.447144 |
4/1/2013 | 29.369312 | 145.82959 |
5/1/2013 | 30.966436 | 149.272614 |
6/1/2013 | 30.861908 | 146.505402 |
7/1/2013 | 28.44943 | 154.891617 |
8/1/2013 | 29.843309 | 150.246063 |
9/1/2013 | 29.94562 | 154.248947 |
10/1/2013 | 31.862221 | 162.17836 |
11/1/2013 | 34.309704 | 166.984924 |
12/1/2013 | 33.917126 | 170.389221 |
1/1/2014 | 34.30698 | 165.276016 |
2/1/2014 | 34.733093 | 172.79866 |
3/1/2014 | 37.441544 | 173.466476 |
4/1/2014 | 36.902618 | 175.442932 |
5/1/2014 | 37.39587 | 179.514313 |
6/1/2014 | 38.358791 | 182.346588 |
7/1/2014 | 39.701805 | 180.758041 |
8/1/2014 | 41.789921 | 187.891373 |
9/1/2014 | 42.911755 | 184.437057 |
10/1/2014 | 43.457882 | 189.66333 |
11/1/2014 | 44.253918 | 194.873749 |
12/1/2014 | 43.266247 | 193.312485 |
1/1/2015 | 37.63092 | 188.620041 |
2/1/2015 | 40.844452 | 199.221344 |
3/1/2015 | 38.142635 | 195.221054 |
4/1/2015 | 45.628563 | 198.020798 |
5/1/2015 | 43.958771 | 200.566574 |
6/1/2015 | 41.685722 | 195.579468 |
7/1/2015 | 44.093388 | 200.883865 |
8/1/2015 | 41.090885 | 190.107056 |
9/1/2015 | 42.065155 | 182.881134 |
10/1/2015 | 50.029591 | 200.431534 |
11/1/2015 | 51.654785 | 200.23967 |
12/1/2015 | 53.084164 | 195.614822 |
1/1/2016 | 52.711006 | 186.981628 |
2/1/2016 | 48.682812 | 186.827194 |
3/1/2016 | 53.224377 | 198.371201 |
4/1/2016 | 48.059025 | 200.180191 |
5/1/2016 | 51.075367 | 203.585556 |
6/1/2016 | 49.656723 | 203.236313 |
7/1/2016 | 55.003773 | 211.744019 |
8/1/2016 | 55.760704 | 211.997604 |
9/1/2016 | 56.244946 | 210.944336 |
10/1/2016 | 58.510365 | 208.334351 |
11/1/2016 | 58.842373 | 216.009033 |
12/1/2016 | 61.088055 | 219.096573 |
1/1/2017 | 63.555569 | 224.331726 |
2/1/2017 | 62.896912 | 233.146057 |
3/1/2017 | 65.137604 | 232.426315 |
4/1/2017 | 67.709076 | 235.754608 |
5/1/2017 | 69.073936 | 239.081802 |
6/1/2017 | 68.564697 | 239.438278 |
7/1/2017 | 72.314713 | 245.551392 |
8/1/2017 | 74.373741 | 246.267838 |
9/1/2017 | 73.870003 | 249.113724 |