# Quantitative Analysis

## FRM Probability question

319.2. The following is a probability matrix for X = {1, 2, 3} and Y = {1, 2, 3}; i.e., the Joint Prob (X = 3, Y = 2) = 18.0%:

x

1
2
3

y
1
6%
15%
9%

2
12%
30%
18%

3
2%
5%
3%

## Difficulty in Quants

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 am a literature student and that I need to write associate essay regarding three documents. My writing skills are not dedicated neither is my descriptive linguistics. I’d prefer to understand if you may help me correct my mistakes. I came here to clear one thing from skilled consultants. Being a student I even have several doubts relating to best essay writing service. Even if I participated in several competitions however still need to learn and improve plenty. Eagerly expecting your valuable and useful response to my doubt!

## parametric simulation

Hi,

do we want correlation among the data in parametric simulation?

## Hybrid Approach - Calculating VaR

I´m confused with Schwesers VaR calculation. If somebody uses Schweser as well (page 23):

why interpolation starts with 4,7 instead the point halfway between 4,7 and 4,1?

thanks for any hint!

## FRM Quant is too difficult for me

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?

## What is full repricing?

I was doing some practices and I just wonder what does full repricing mean. Is there anyone who knows about it?

## Schweser 2016 part 1 errata or pdf encryption?

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?

## Distributions

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?

a) 100%

b) 97.5%

c) 95%

d) Insufficient data