Hi there
Just posting a question I received from a student as it's really good.
Just posting a question I received from a student as it's really good.
Hello, I am Ioannis , just a quick question on probability theory.
The variance is defined as E[(X - m)^2] and gives a measure of the spread of the returns around the mean.
Why is it wrong to take E [ l X - m l ] or E[(X - m)^4] instead as a measure of the spread?
All three expressions inside the brackets are +ve.
Similarly, the skewness is defined as E[(X - m)^3]. Why is it wrong to take E[(X - m)^5] instead?
What does E[(X - m)^5] represent and why?
I understand how the calculations work. I just want to see the logic behind the formulas.
Many thanks,
Ioannis