Jim Jones needs to identify the highest cash flow as well as the risk associated with it from his decision alternatives.  He can get numerical evidence to support such claim and be able to be guided according to derived computation.  To illustrate:


 


All UP


 


 


 


 


 


 


 


 


 


 


 


Possible Cash


Probability of 


(CFx1)(Px1)


(CFx1 – CF1)


Dispersion


Coefficient of


 Flow (CFx1)


Occurrence (Px1)


=CF1


squared(Px1)


 


Variation


                5,000


0.20


        1,000


       2,888,000


 


 


                3,000


0.40


        1,200


       1,296,000


 


 


                     -  


0.20


             -  


          288,000


 


 


               (5,000)


0.20


       (1,000)


       7,688,000


 


 


TOTAL


1.00


        1,200


     12,160,000


approx 3,487


2.91


 


 


 


 


 


 


CG on Helmets


 


 


 


 


 


              12,000


0.20


        2,400


     20,808,000


 


 


                6,000


0.40


        2,400


       7,056,000


 


 


               (5,000)


0.20


       (1,000)


       9,248,000


 


 


             (10,000)


0.20


       (2,000)


     27,848,000


 


 


TOTAL


1.00


        1,800


     64,960,000


approx 8,060


4.48


 


 


 


 


 


 


MS on Elctronics


 


 


 


 


 


15000


0.20


        3,000


     40,328,000


 


 


7000


0.40


        2,800


     15,376,000


 


 


-10000


0.20


       (2,000)


     23,328,000


 


 


-15000


0.20


       (3,000)


     49,928,000


 


 


TOTAL


1.00


           800


    128,960,000


approx 11,356


          14.20


 


 


 


 


 


 


MM on Phones


 


 


 


 


 


30000


0.20


6000


    180,000,000


 


 


10000


0.40


4000


     40,000,000


 


 


-20000


0.20


-4000


     80,000,000


 


 


-30000


0.20


-6000


    180,000,000


 


 


 


1.00


0


    480,000,000


approx 21,909


#DIV/0!


Without UP


 


 


 


 


 


55000


0.20


11000


    605,000,000


 


 


20000


0.40


8000


    160,000,000


 


 


-35000


0.20


-7000


    245,000,000


 


 


-60000


0.20


-12000


    720,000,000


 


 


 


1.00


0


 1,730,000,000


approx 41,593


#DIV/0!


 


With highest cash under alternative CG on helmets and UP the rest at 1,800 pounds, he is faced with greater risk or dispersion at approximately 8,060 (risk per unit of expected value at 4.48).  On the other hand, sub-optimal cash flow under all UP at 1,200 pounds carries with it lesser risk or dispersion at approximately 3,487 (risk per unit of expected value at 2.90).  Other alternatives are illustratively unattractive as they have very minimal cash flow that reach at break-even with a very ambiguous outcome (that is, the computed cash flow/ break-even has relatively larger fluctuations to real-life results).  Due to this, Jim Jones has to evaluate his liquidity.  If he is liquid, he might choose the alternative CG on helmets and UP the rest.  Otherwise, he should choose the less risky all UP.  On the other hand, he can minimize the risk of his market assumptions by hiring a research firm.  To illustrate (to settle CG on helmets relative risk):


With Research Team to Minimize the Risk


 


 


 


2000


0.20


400


     20,808,000


 


 


-4000


0.40


-1600


       7,056,000


 


 


-15000


0.20


-3000


       9,248,000


 


 


-20000


0.20


-4000


     27,848,000


 


 


 


1.00


-8200


     64,960,000


approx 8,060


-0.98


 


 


As shown by the computation, the deduction of 10,000 pounds for research fee to the expected cash flows aggravates the scenario for CG helmet and UP the rest alternative.  The research can be considered futile even though it makes the coefficient of variation less than 1 (in absolute terms) and makes the venture almost risk-free.  The same outcome is true when all UP alternative undergo the same process.  In effect, there is no other way Jim Jones can maximize his expected cash flow and minimize the risk of the top two alternatives other than his liquidity.         


 


 


 


 


   



Credit:ivythesis.typepad.com


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