Question

(All answers were generated using 1,000 trials and native Excel functionality.) Suppose that the price of a share of a partic
price per share is expected to change over a three- month period: Stock Price Change ($) Probability 0.05 0.10 0.25 0.20 0.20
(a Construct a spreadsheet simulation model that computes the value of the stock price in 3 months, 6 months, 9 months, and 1
Standard Deviation $ (b) Based on the model assumptions, what are the lowes and highest possible prices for this stock in 12
(All answers were generated using 1,000 trials and native Excel functionality.) Suppose that the price of a share of a particular stock listed on the New York Stock Exchange is currently $39. The following probability distribution shows how the price per share is expected to change over a three- month period: Probability 0.05 0.10 0.25 0.20 0.20 Stock Price Change ($) 2 2 0 +1 +2
price per share is expected to change over a three- month period: Stock Price Change ($) Probability 0.05 0.10 0.25 0.20 0.20 0.10 0.10 2 +1 +2 +3 +4 (a Construct a spreadsheet simulation model that computes the value of the stock price in 3 months, 6 months, 9 months, and 12 months under the
(a Construct a spreadsheet simulation model that computes the value of the stock price in 3 months, 6 months, 9 months, and 12 months under the assumption that the change in stock price over any three-month period is independent of the change in stock price over any other three-month period. For a current price of $39 per share, what is the average stock price per share 12 months from now? What is the standard deviation of the stock price 12 months from now? Round your answers to two decimal places. Average
Standard Deviation $ (b) Based on the model assumptions, what are the lowes and highest possible prices for this stock in 12 months? Minimum Maximum Based on your knowledge of the stock market, how valid do you think this is? Propose an alternative to modeling how stock prices evolve over three-month periods. The input in the box below will not be graded, but
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Answer #1

SOLUTION

We calculate the cumulative probability and the intervals of random numbers as below

Random number intervals
Stock Price Change ($) Probability Cumulative probability From Less than
-2 0.05 0.05 0 0.05
-1 0.1 0.15 0.05 0.15
0 0.25 0.4 0.15 0.4
1 0.2 0.6 0.4 0.6
2 0.2 0.8 0.6 0.8
3 0.1 0.9 0.8 0.9
4 0.1 1 0.9 1


To simulate the price change for any 3 month period we do the following

  • generate a uniform random number in the interval (0,1) using =RAND()
  • Check the interval in which this random number lies and get the corresponding price change.
    • For example if the random number generated is 0.6312, it lies in the interval 0.6 to 0.8 which corresponds to a price change of +2.

We set up the following

Random number intervals Price Stock Price Change (S) Current price 35 Probability Cumulative probabili 0.05 0.1 0.25 0.2 0.2 From Less than 3 -2 4 -1 5 0 -B3 -CB 0.1 10 11 Simulati 12 Trial # | Random # 13 Months 13 1 14FA13+1 RANDO VLOOKUP B14,SD$3:SFS9,3,TRUE SHS3 RAND 15 FA14+1 RANDO VLOOKUP B15,SD$3:SFS9,3,TRUE SHS3 RAND Price in Random # 16 Months Random # 19 Months Random # 12 Months VLOOKUP(D13,SDS3 SF$9,3,TRUE)+C13 FRAND VLOOKUP(D14,SD$3:$F$9,3,TRUE)+C14-RAND VLOOKUP D15,SDS3:$F$9,3,TRUE)+C15 RAND -VLOOKUP[H13,SDS3 SF$9,3,TRUE)+G13 VLOOKUP[H14,SDS3:SF$9,3,TRUE)+G14 VLOOKUPTH15,SDS3:SFS9,3,TRUE)+G15 AND VLOOKUP[813,SDS3:$FS9,3,TRUE)+SHS3RAND VLOOKUP(F13,SD$3:SFS9,3, TRUE+E13 RAND VLOOKUP(F14,SD$3:SFS9,3,RUE)+E14 RAND VLOOKUP(F15,SDS3:SFS9,3,TRUE)+E15 RAND

Copy the rows to get 1000 trails

paste the random numbers as values to avoid changes

get these

Random number intervals Stock Price Stock Price Change Cumulative Current 2 Change ($)Probability probability From ess than (S) price $39 0.05 0.1 0.25 0.2 0.2 0.1 0.1 0.05 0.15 0.4 0.6 0.8 0.9 0.05 0.15 0.4 0.6 0.8 0.9 0.05 0.15 0.4 0.6 0.8 0.9 0 0 2 4 4 10 11 Simulation 12 Trial # 13 14 Price in Random # 3 Months Random # 6 Months Random # 19 Months Random # 12 Months $43.0 0.72234 $45.0 0.52699$46.0 0.70846$48.0 $42.00.98958 $46.0 0.82741 $49.0 0.03114$47.0 $43.0 00 $44.0 0.79634$46.0 0.69096$48.0 $40.0 0.6286842.00.57916$43.0 0.83175$46.0 $42.0 0.33527$42.00.34913$42.0 0.79005$44.0 0.92853 0.88482 0.94597 0.42760 0.84546 16 17 4

The the average stock price and per share 12 months from now, the standard deviation of the stock price 12 months from now and the highest and lowest possible prices are calculated as below

1 2 Current price 3 39 4 5 7 9 10 12 Random# 13 0.708456573104018 |=VLOOKUP(H13,SDS3S 14 0.031138632797039 VLOOKUP(H14,SD$3: Standard deviation Lowest price Highest price AVERAGE(113:11012) STDEV.S(113:11012 -MIN(113:11012) MAX(113:11012 12 Months

get these

average stock price $43.36 Standard deviation Lowest price Highest price 3.1956 35.00 $54.00

The the average stock price and per share 12 months from now is $43.36, The standard deviation of the stock price 12 months from now is 3.1956

The lowest and highest prices possible as per this simulation is $35 and $54 respectively

But in reality the stock can lose a maximum of $2 in any given 3-month period. If the stock losses $2 in each of the 4, 3-month periods, then it can lose a maximum of $8. That means the lowest possible price of this stock in 12 months is $39-8=$31

Similarly the stock can gain a maximum of $4 in any 3-month period. If the stock gains $4 in each of the 4, 3-month periods, then it can gain a maximum of $16. That means the highest possible price of this stock in 12 months is $39+16=$55

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