Hello, I’m preparing for the FRM part 1 exam and since i am not so good in mathematics i’m finding it difficult. i just don’t feel like studying it and when ever i think of practicing it (after understanding the concepts) from the bionic turtle books i just cannot solve it, i can attempt questions from schweser but not from bionic.
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do we want correlation among the data in parametric simulation?
I am having an incredibly hard time with the Quant. sessions. First, my statistic is very rusty and almost nonexistent since I have barely used it after college. But am I the only one who thinks that Miller really over-condensed his material? I wonder if there is any book that I could read before I jump into the Quant. material so I can have better understanding about them?
I was doing some practices and I just wonder what does full repricing mean. Is there anyone who knows about it?
I am preparing for the FRM part 1.
Hi, I have a problem regarding this question. It is from the practice exam 1 (part 1) question 29 Q: Which of the following statements about sampling and the central limit theorem is least likely to be correct?
d. The standard deviation of the mean of many observation is more than the standard deviation of a single observation The correct answer is D.
In my opinion, statement D is true as the standard deviation of a single observation is zero. Did I interpret anything wrong here?
Let X be a uniformly distributed random variable between -1 and 1 so the standard deviation of X is 0.577. what percentage of the distributions will be less than 1.96 standard deviations above the mean?
d) Insufficient data
Using a daily Risk metrics EWMA model with a decay factor Lamda = 0.95 to develop a forecast of the conditional variance, which weight will be applied to the return that is 4 days old?
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