Risk and Uncertainty - Decision Trees Part 2 - ACCA Performance Management (PM)
YouTube video
32 Comments
P
Pompaciadem·
Hi, first of all thank you for the great lectures. I would like to ask a question about the market research outcomes. Since it says in the question "If the research indicates a poor result, then they will only be prepared to consider the cheaper refurbishment" I believe Shut down option should have been ignored. Could you please explain why did we include it as well?
J
John MoffatTutor·
The question says that they will consider the cheaper refurbishment (so not the more expensive one), but they will only consider it. So if it would be better to shut down then they would do so.
M
Michael·
Dear Prof,
Thank you for the insightful lecture. While reviewing the ACCA Study Hub materials, I noticed that the treatment of the calculations after drawing the decision tree appears different from what you covered in the recorded video.
In the Study Hub example, after calculating the probabilities for each outcome (success/failure, good/bad as applicable), the values were subtracted from each other, rather than added together. This seems to differ from the usual expected value approach where we sum the weighted outcomes.
Could you kindly look into this and provide further clarification on why this method was applied?
Thank you, sir.
M
Michael·
This could be found in activity 4, chapter 8 of the ACCA study hub.
M
Michael·
My apologies, it is understood now. so sorry for the misinformation.
R
Ridev·
Greeting my friend,I also encountered this issue. I believe that as per opentuition question was that cheap ref would bring around 4.5m if i remember well i.e. it would be a gain,thus a positive value and as per studyhub question,it mentions that a loss will occur,so at point G it will be 0.8*10 minus 4.5*0.2. You should take into consideration whether the question assumes there will a gain in the net outcome or a loss.
R
Ridev·
The exposure to different kinds of questions like this,will surely increase our knowledge for section C.Hope we pass the exam.
Cheers to John for being an amazing teacher!
L
Laszlo·
Hi John,
thank you so much for your incredibly helpful lectures!
Can I just ask why we ignore in the calculations that market research has a 68 % probability?
Thank you!
L
Laszlo·
Please ignore my comment. I might have left my brain in my pocket for the last minutes of the video.
Wishing you a wonderful New Year!
J
John MoffatTutor·
No problem, and a Happy New Year to you also :-)
N
Natasha·
thank you very much.
With your explanations, the task was so simple
K
khushboo·
Hello Sir,
Hope all is well.
Sir in 6th part you've taken the value 5 instead of 4.59.
please explain sir.
Thank You!
J
John MoffatTutor·
Because it is our choice whether to shut or to continue with cheap refurbishment. Shutting gives us a bigger return,
V
Varsha·
Well explained but as for remote exams with no rough sheet allowed, will it be possible to solve such questions?
J
John MoffatTutor·
You cannot be asked to draw a tree, but you are expected to understand it and be able to do relevant calculations on it.
(Although there is no rough paper, there is a scratch pad on the computer)
Z
Zahrien·
Thank you Mr. Moffat, your lecture is quite helpful as you explained a complex concept with simplicity yet informative
J
John MoffatTutor·
Thank you for your comment :-)
M
Mr. Aboukar·
Hello john
i have struggled to find the value of perfect information in example two in the case of the decision three; could you help please.
i would like thank u in advance.
your are the best accounting lecturer i have ever saw.
J
John MoffatTutor·
But example 2 does not ask for the value of perfect information :-)
M
Mr. Aboukar·
I know, but i wonder if we could find out the value of perfect information in the case of the decision three.
Thanks john.
A
alhassankamara·
This is the best lecture I have ever got on decision tree. Thanks for the clear and concise explanation.
Respectfully!!!
J
John MoffatTutor·
Thank you for your comment :-)
N
naholom1990·
Thank you very much for this presentation. It has indeed cleared alot of my confusion regarding the decision tree theory.
J
John MoffatTutor·
Thank you for your comment :-)
P
Pepita·
Really good lecture John, thank you for explaining so clearly.
I believe we may have missed a step at point B, we should have deducted 2m from 4.59 = 2.59. So the decision would have been 5m & 2.59 m return. It doesn't impact the final decision in this example as 5m is still a better option.
S
SOLANKAR·
Fantastic lecture.
J
John MoffatTutor·
Thank you for your comment :-)
Y
yaya700·
What happens to the 200K for market research?
Y
yaya700·
Please ignore, sorry
J
John MoffatTutor·
No problem :-)
J
John MoffatTutor·
But most decisions in practice have uncertain outcomes and expected values is one approach to dealing with the uncertainty that might be worth considering.
(The tree itself is not a requirement, but does help sort out the problem when there are several decisions to be made depending on the outcomes. The problem is not the tree but whether or not expected values are a sensible way of dealing with the uncertainty.)
Thank you for the insightful lecture. While reviewing the ACCA Study Hub materials, I noticed that the treatment of the calculations after drawing the decision tree appears different from what you covered in the recorded video.
In the Study Hub example, after calculating the probabilities for each outcome (success/failure, good/bad as applicable), the values were subtracted from each other, rather than added together. This seems to differ from the usual expected value approach where we sum the weighted outcomes.
Could you kindly look into this and provide further clarification on why this method was applied?
Thank you, sir.
Cheers to John for being an amazing teacher!
thank you so much for your incredibly helpful lectures!
Can I just ask why we ignore in the calculations that market research has a 68 % probability?
Thank you!
Wishing you a wonderful New Year!
With your explanations, the task was so simple
Hope all is well.
Sir in 6th part you've taken the value 5 instead of 4.59.
please explain sir.
Thank You!
(Although there is no rough paper, there is a scratch pad on the computer)
i have struggled to find the value of perfect information in example two in the case of the decision three; could you help please.
i would like thank u in advance.
your are the best accounting lecturer i have ever saw.
Thanks john.
Respectfully!!!
I believe we may have missed a step at point B, we should have deducted 2m from 4.59 = 2.59. So the decision would have been 5m & 2.59 m return. It doesn't impact the final decision in this example as 5m is still a better option.
(The tree itself is not a requirement, but does help sort out the problem when there are several decisions to be made depending on the outcomes. The problem is not the tree but whether or not expected values are a sensible way of dealing with the uncertainty.)
Thanks for the final comment :-)