David, I really wish Garp's site is as easy to navigate as BT, I found enough info on Garp's site on what I must bring but not nearly enough how what I can't bring.
Anyone who has taken it before might want comment on it?
Is there one on this site? I couldn't find one.
I have few question, should I bring a bag? So I can put everything not allowed in the room in the bag and place it outside? Is mechanical pencil allowed? Is water allowed?(with clear bottle). Will there be a clock or I better bring a watch? And...
Thanks a lot, got it, it does need to divided by 2, just where you do it is different. Although I likely still do it on later step as it's more intuitive since it's the same as Taylor.
Hi David
On excel sheet 4.c7 as well as on video 4.c. The example did convexity adjustment as C*(dy^2), but the formula I see on hand book as well as on the same video it's 0.5*C*(dy^2) Could you please clarify a little? Thanks.
Thanks for the reply
After thinking about it for some times, I think it make sense. Do you think there will be question on exam where you can assume different things or they will be more clear cut?
Hi David.
It's around 24 min mark, and slide number shown is 39.
You showed that 10 day sigma and Var is greater with auto-correlation. However I think that would be the case if we were given 1 day variance, in the case we are given 1 year variance, the 10 day sigma and VAR should be...
David, thanks a lot. I think I get it.
Still a little confusing as standard deviation of a sampling distribution(this should be "of the mean" as well right?), or standard error. I think it's the error/difference of sample mean and population mean, right?
Hi David,
I am very confused with this, they are on page 35 and 41 of the notes. could you please explain them more in depth? I don't know what's the difference between them, yet they have very different formula. It seems sample mean is sample mean, but variance is somehow different...
In the 2010-1-foundations pdf, on page 32 you give the formula for information ratio which is difference in expected return over tracking error, but in the page after it you give an example, but you calculated the IR as alpha/TE. However, alpha is not the difference in expected return, since you...
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