A commodity trader believesthat average volume of wheat he traded can be described by a Normal model witha mean of 32,000 metric tons and standard deviation of 2,500 metric tons. a) If a client buys...

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A commodity trader believes that average volume of wheat he traded can be described by a Normal model with a mean of 32,000 metric tons and standard deviation of 2,500 metric tons.


a) If a client buys some bushels of his wheat, would it be reasonable for the client to hope that the transactions will reach 40,000 metric tons? Explain.


b) Approximately what fraction of the transactions can be expected to reach less than 30,000 metric tons?


c) Approximately what fraction of these trades can be expected to reach between 30,000 and 35,000 metric tons?


d) Estimate the IQR of the trade volumes.


e) In planning an investment strategy, the commodity trader wants to offer an opt-out guaranty (or an option to cancel a trade) to any
















customer whose transaction volumes failed to deliver an agreed volume of transaction compared to the mean. However, he does not want to take too big a risk. If he is willing to give transaction refunds to no more than 1 of every 25 customers, for what volume level of transactions can he offer an opt-out guaranty?





Answered Same DayDec 22, 2021

Answer To: A commodity trader believesthat average volume of wheat he traded can be described by a Normal...

David answered on Dec 22 2021
120 Votes
Q1. A commodity trader believes that average volume of wheat he traded can be described by a Normal model with a mean of 32,000 metric tons and standard deviation of 2,500 metric tons.
. a) If a client b
uys some bushels of his wheat, would it be reasonable for the client to hope that the transactions will reach 40,000 metric tons? Explain. 
P( X>40000) = P( z > (40000 – 32000)/2500) = P( z > 3.2) = almost zero
So it is expected that 40000 will be reached
. b) Approximately what fraction of the transactions can be expected to reach less than 30,000 metric tons? 
P( X< 30000) = P( z < (30000 – 32000)/2500) = P( z < -0.8)=.21186
21.186% can be expected to reach less than 30,000 metric tons
. c) Approximately what fraction of these trades can be expected to reach between 30,000 and 35,000 metric tons? 
P( 300067.303% trades can be expected to reach between 30,000 and 35,000 metric tons 
. d) Estimate the IQR of the trade volumes. 
IQR= (Q3-Q1)
Q3 is where P( z < Q3) = .75
Q1 is where P(z Since this is normal distribution IQR = 2*.67448*2500= 3374.4
. e) In planning an investment strategy, the commodity trader wants to offer an opt-out guaranty (or an option to cancel a trade) to any customer whose transaction volumes failed to deliver an agreed volume of transaction compared to the mean. However, he does not want to take too big a risk. If he is willing to give transaction refunds to no more than 1 of every 25 customers, for what volume level of transactions can he offer an opt-out guaranty? 
P( refund) = 1/25= 0.04
So we want x1 such that P( X < x1) = .04
The z value that corresponds to this x1 is given as -1.751
So x1= -1.751*2500+32000= 27622.5
For a volume less than 27622.5 we can give opt out guarantee.
Q2. In 1999, Lehman Brothers estimated that 48% of its investment bank traders took diverse forms of soft drugs. Based on these data, Lehman established a Drug Eradication Plan goal of reducing that figure to 16% by...
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