math help

profileteron50
racquetballcase_noi.xls

data provided - setup NPV

New Ball $ 0.52
Wodraw Ball $ 0.95
Rate 10%
Low fixed Cost 4,000,000
High fixed Cost 6,000,000
Year      # of players per thousands       retail price per ball       Ball sold in millions Balls/Player(000)
1985    600 $ 1.75 5.932 0.01
1986    635 $ 1.75 6.229 0.01
1987    655 $ 1.80 6.506 0.01
1988    700 $ 1.90 6.820 0.01
1989    730 $ 1.90 7.161 0.01
1990    762 $ 1.90 7.895 0.01
1991    812 $ 2.00 7.895 0.01
1992    831 $ 2.20 8.224 0.01
1993    877 $ 2.45 8.584 0.01
1994    931 $ 2.45 9.026 0.01
1995    967 $ 2.60 9.491 0.01
1996    1,020 $ 2.55 9.996 0.01
1997    1,077 $ 2.50 10.465 0.01
1998    1,139 $ 2.50 10.981 0.01
Player Growth Rate for 10 yrs 10%
Price Ratio % who would buy new ball
0.50 0%
1.00 11%
1.50 41%
2.00 76%
2.50 95%
3.00 100%
Net Present Value if selling the ball at $ 0.65
Price Ratio $ 3.85
Incremental Years Year      # of players per thousands       retail price per ball       Ball sold in millions Profit PV
0 1999 $ (5,000,000.00) $ (5,000,000.00)
0 1999 1,253 $ 0.65 12.079 $ 1,570,283 $ 1,570,283
1 2000 1,378 $ 0.65 13.287 $ 1,727,311 $ 1,570,283
2 2001 1,516 $ 0.65 14.616 $ 1,900,042 $ 1,570,283
3 2002 1,668 $ 0.65 16.077 $ 2,090,047 $ 1,570,283
4 2003 1,834 $ 0.65 17.685 $ 2,299,051 $ 1,570,283
5 2004 2,018 $ 0.65 19.454 $ 2,528,956 $ 1,570,283
6 2005 2,220 $ 0.65 21.399 $ 2,781,852 $ 1,570,283
7 2006 2,442 $ 0.65 23.539 $ 3,060,037 $ 1,570,283
8 2007 2,686 $ 0.65 25.893 $ 3,366,041 $ 1,570,283
9 2008 2,954 $ 0.65 28.482 $ 3,702,645 $ 1,570,283
10 2009 3,250 $ 0.65 31.330 $ 4,072,910 $ 1,570,283
NPV ------> $ 12,273,113
I have done it for 10 years - you can stretch it further if need be
Mean of initial investment
Assuming ball/player ratio will remain constant in the future
since price ratio is greater than 3 adoption rate will be 100%
10% per year growth in players
Based on int rate of 10%

data provided - setup NPV

Chart for Q7
% who would buy new ball

part a - b

A) Base Case
Base Case in this situation would be the worst adoption rate; ie, what would happen if we go ahead and produce the balls and there is minimal adoption
Incremental Years Year      # of players per thousands       retail price per ball       Ball sold in millions Profit PV
0 1999 $ (5,000,000.00) $ (5,000,000.00)
0 1999 1,253 $ 2.50 1.329 $ 2,630,827.98 $ 2,630,828
1 2000 1,378 $ 2.50 1.462 $ 2,893,910.78 $ 2,893,911
2 2001 1,516 $ 2.50 1.608 $ 3,183,301.86 $ 3,183,302
3 2002 1,668 $ 2.50 1.769 $ 3,501,632.04 $ 3,501,632
4 2003 1,834 $ 2.50 1.945 $ 3,851,795.25 $ 3,851,795
5 2004 2,018 $ 2.50 2.140 $ 4,236,974.77 $ 4,236,975
6 2005 2,220 $ 2.50 2.354 $ 4,660,672.25 $ 4,660,672
7 2006 2,442 $ 2.50 2.589 $ 5,126,739.47 $ 5,126,739
8 2007 2,686 $ 2.50 2.848 $ 5,639,413.42 $ 5,639,413
9 2008 2,954 $ 2.50 3.133 $ 6,203,354.76 $ 6,203,355
10 2009 3,250 $ 2.50 3.446 $ 6,823,690.24 $ 6,823,690
NPV ------> $ 43,752,313
I have done it for 10 years - you can stretch it further if need be
B) Sensitivity Analysis
Price Ratio 0.5 1.0 1.5 2.0 2.5 3.0
Selling Price $ 5.00 $ 2.50 $ 1.67 $ 1.25 $ 1.00 $ 0.83
% who would buy new ball 0% 11% 41% 76% 95% 100%
Incremental Years Year      # of players per thousands  Potential Balls that can be sold (millions)    Ball sold in millions    Ball sold in millions    Ball sold in millions    Ball sold in millions    Ball sold in millions    Ball sold in millions
0 1999 1,253 12.079 - 0 1.329 4.952 9.180 11.475 12.079
1 2000 1,378 13.287 - 0 1.462 5.448 10.098 12.623 13.287
2 2001 1,516 14.616 - 0 1.608 5.992 11.108 13.885 14.616
3 2002 1,668 16.077 - 0 1.769 6.592 12.219 15.273 16.077
4 2003 1,834 17.685 - 0 1.945 7.251 13.441 16.801 17.685
5 2004 2,018 19.454 - 0 2.140 7.976 14.785 18.481 19.454
6 2005 2,220 21.399 - 0 2.354 8.774 16.263 20.329 21.399
7 2006 2,442 23.539 - 0 2.589 9.651 17.889 22.362 23.539
8 2007 2,686 25.893 - 0 2.848 10.616 19.678 24.598 25.893
9 2008 2,954 28.482 - 0 3.133 11.678 21.646 27.058 28.482
10 2009 3,250 31.330 - 0 3.446 12.845 23.811 29.764 31.330
Selling Price $ 5.00 $ 2.50 $ 1.67 $ 1.25 $ 1.00 $ 0.83
Contribution Margin Analysis Year    Contribution Margin (MILLIONS)
1999 $ - 0 $ 2.63 $ 5.68 $ 6.70 $ 5.51 $ 3.78
2000 $ - 0 $ 2.89 $ 6.25 $ 7.37 $ 6.06 $ 4.16
2001 $ - 0 $ 3.18 $ 6.87 $ 8.11 $ 6.66 $ 4.58
2002 $ - 0 $ 3.50 $ 7.56 $ 8.92 $ 7.33 $ 5.04
2003 $ - 0 $ 3.85 $ 8.31 $ 9.81 $ 8.06 $ 5.54
2004 $ - 0 $ 4.24 $ 9.15 $ 10.79 $ 8.87 $ 6.10
2005 $ - 0 $ 4.66 $ 10.06 $ 11.87 $ 9.76 $ 6.70
2006 $ - 0 $ 5.13 $ 11.07 $ 13.06 $ 10.73 $ 7.38
2007 $ - 0 $ 5.64 $ 12.17 $ 14.37 $ 11.81 $ 8.11
2008 $ - 0 $ 6.20 $ 13.39 $ 15.80 $ 12.99 $ 8.92
2009 $ - 0 $ 6.82 $ 14.73 $ 17.38 $ 14.29 $ 9.82
10% per year growth in players
Assuming ball/player ratio will remain constant in the future
Mean of initial investment
Based on int rate of 10%
since price ratio 1, adoption rate will be 11%
since worst adoption is at price ratio of 1, so it means we will also sell same price as competition

part a - b

$5.00
$2.50
$1.67
$1.25
$1.00
$0.83

Goal Seek

B)Goal Seek
Price Ratio 0.5 1.0 1.5 2.0 2.5 3.0
Selling Price $ 5.00 $ 2.50 $ 1.67 $ 1.25 $ 1.00 $ 0.83
% who would buy new ball 1% 2% 3% 5% 8% 12% <-- these are calculated using goal seek
Incremental Years Year      # of players per thousands  Potential Balls that can be sold (millions)    Ball sold in millions    Ball sold in millions    Ball sold in millions    Ball sold in millions    Ball sold in millions    Ball sold in millions
0 1999 1,253 12.079 0.101 0.230 0.396 0.604 0.947 1.451
1 2000 1,378 13.287 0.112 0.253 0.436 0.664 1.042 1.596
2 2001 1,516 14.616 0.123 0.278 0.480 0.731 1.146 1.755
3 2002 1,668 16.077 0.135 0.306 0.528 0.804 1.260 1.931
4 2003 1,834 17.685 0.149 0.336 0.580 0.884 1.386 2.124
5 2004 2,018 19.454 0.163 0.370 0.638 0.973 1.525 2.336
6 2005 2,220 21.399 0.180 0.407 0.702 1.070 1.678 2.570
7 2006 2,442 23.539 0.198 0.447 0.772 1.177 1.845 2.827
8 2007 2,686 25.893 0.217 0.492 0.850 1.295 2.030 3.110
9 2008 2,954 28.482 0.239 0.541 0.935 1.424 2.233 3.421
10 2009 3,250 31.330 0.263 0.595 1.028 1.567 2.456 3.763
Selling Price $ 5.00 $ 2.50 $ 1.67 $ 1.25 $ 1.00 $ 0.83
Contribution Margin Analysis Year    Contribution Margin (MILLIONS)
1999 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
2000 $ 0.50 $ 0.50 $ 0.50 $ 0.48 $ 0.50 $ 0.50
2001 $ 0.55 $ 0.55 $ 0.55 $ 0.53 $ 0.55 $ 0.55
2002 $ 0.61 $ 0.61 $ 0.60 $ 0.59 $ 0.61 $ 0.60
2003 $ 0.67 $ 0.67 $ 0.67 $ 0.65 $ 0.67 $ 0.67
2004 $ 0.73 $ 0.73 $ 0.73 $ 0.71 $ 0.73 $ 0.73
2005 $ 0.81 $ 0.81 $ 0.81 $ 0.78 $ 0.81 $ 0.81
2006 $ 0.89 $ 0.89 $ 0.89 $ 0.86 $ 0.89 $ 0.89
2007 $ 0.97 $ 0.97 $ 0.97 $ 0.95 $ 0.97 $ 0.97
2008 $ 1.07 $ 1.07 $ 1.07 $ 1.04 $ 1.07 $ 1.07
2009 $ 1.18 $ 1.18 $ 1.18 $ 1.14 $ 1.18 $ 1.18
Financial Analysis Selling Price $ 5.00 $ 2.50 $ 1.67 $ 1.25 $ 1.00 $ 0.83
(All Values in Millions) Year    PV Analysis
0 1999 $ (5) $ (5) $ (5) $ (5) $ (5) $ (5)
0 1999 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
1 2000 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
2 2001 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
3 2002 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
4 2003 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
5 2004 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
6 2005 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
7 2006 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
8 2007 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
9 2008 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
10 2009 $ 0.45 $ 0.45 $ 0.45 $ 0.44 $ 0.45 $ 0.45
NPV $ (0) $ (0) $ (0) $ (0) $ (0) $ (0)
Chart below shows Contribution Margin (in millions) for different pricing strategis across the years - it can be seen that based on price sensitivity of adoption of the balls, it is most desirables to price it at $1.67 a ball Note - Fixed initial investment is not considered in the pricing analysis as it will be a mute point and change among different pricing options Contribution Margin in this case is total revenue less total variable cost; it doesnt include fixed cost
Using Goal seek, we are trying to determine what the minimum response rate should be for each of the pricing strategies to break even for the next 10 years it shows that we will definitely break even
Potential application of optimization in this case would be determine what is the best price to sell the balls at given that adoption rate is dependent on the pricing strategy; higher the price lower the adoption rate Objective - Max Profit Constraints - price ratio can range from 0.5 to 3, price cannot be -ve, adoption cannot be -ve, adoption can range from 0% to 100% which will be a function of price Note - the sensitivity analysis on 'solutions tab' is an optimization through simulation of this case where we determine that best pricing is at $1.67 per ball --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Potential application of simulation in this case would be determine what the total profit would be for all the different pricing strategies given that adoption rate is dependent on the pricing strategy; higher the price lower the adoption rate Another situation where simulation can be used is to determine break even points (ie, what should be the adoption rate for each pricing be so that we can break even - like we did using goal seek above)

Sheet3