risk-neutral prop, three term model, Tuckman Chap. 7

michael4129

New Member
Hi David and FRM allies!

Could you explain to me how you come to the probability of 0,6489 in the comprehensive market risk notes page 36 or Excel File P2.Market-Tuckman--Chapter-7, Sheet 29.7. Three Steps?

This probability is the important factor to determine the risk neutral prices for node 1 and the final risk-neutral price.

As there is no formula embedded in cell F17, I thought that you might have derived the probability from solving it with Excel solver?

Thanks!

Michael
 

David Harper CFA FRM

David Harper CFA FRM
Subscriber
Hi Michael,

I didn't use solver, I cheated and just used the input that Tuckman gives in the assignment: q = 0.6489.

It's just an extension of the one-step p, for which i did use a formula (on the first tab of the workbook). But in this case, we have (Tuckman 7.14 to 7.16):
  • The unknown Price[1,1], which is $946.51 after we solve for q but is unknown when solving for q, = [$970.87*q + 975.61*(1-q)]/(1+0.055/2)
  • The unknown Price[1,0], which is $955.78 after we solve for q but is unknown when solving for q, = [$975.61*q + 980.39*(1-q)]/(1+0.045/2)
  • $925.21 = (0.8024*P[1,1] + 0.1976*P[1,0])/(1+0.05/2); i.e., bootstrapping the previously derived 80.24%. So, there is one equation with one unknown (q), that I was too lazy to solve, because Tuckman gives it as 0.6489:
  • $925.21 = (0.8024*[$970.87*q + 975.61*(1-q)]/(1+0.055/2) + 0.1976* [$975.61*q + 980.39*(1-q)]/(1+0.045/2))/(1+0.05/2). I hope that helps, thanks!
 

michael4129

New Member
I see. You simply took the probabilites for the first node (0.8024; 0.1976) as given. Then it is easier to compute the q = 0.6489 for node 2. Thanks for clarification.

By the way, if you would use Solver for the formula (solving comprehensively for node 1 and 2):
=(((D18*($970.87*F17+975.61*(1-F17))/(1+0.055/2)))+((1-D18)*($975.61*F17+980.39*(1-F17))/(1+0.045/2)))/(1+0.05/2)

changing cells = probabilities
target value in cell B 27 = 925.21

then you would come to rather different probabilities:
Prob[1,1] = 0.90036 [comparing it to: 0.8024]
Prob[1,0] = 0.09964 [comparing it to: 0.1976]
Prob[2,1] = 0.45172 [comparing it to: 0.6489]
Prob[2,2] = 0.54828 [comparing it to: 0.3511]

So I guess there will be more than one solution...
 
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