Hi
In the part of the allen book:
"Compare, contrast and calculate parametric and non-parametric approaches for estimating conditional volatility, including: HISTORICAL STANDARD DEVIATION"
The part of :
For example, assume the previous four daily returns for a stock are 6% (n-1), 5% (m-2), 4% (n-3) and 3% (n-4). What is a current volatility estimate, applying the moving average, given that our short trailing window is only four days (m=14)? If we square each return, the series is 0.0036, 0.0025, 0.0016 and 0.0009. If we sum this series of squared returns, we get 0.0086. Divide by 4 (since m=4) and we get 0.00215. That’s the moving average variance, such that the moving average volatility is about 4.64%.
I don't understand why 6% (n-1), 5% (m-2), 4% (n-3) and 3% (n-4) have in parentheses (n-1), m-2, n-3 and n-4, what does it mean?
Thanks a lot!
Renzo
In the part of the allen book:
"Compare, contrast and calculate parametric and non-parametric approaches for estimating conditional volatility, including: HISTORICAL STANDARD DEVIATION"
The part of :
For example, assume the previous four daily returns for a stock are 6% (n-1), 5% (m-2), 4% (n-3) and 3% (n-4). What is a current volatility estimate, applying the moving average, given that our short trailing window is only four days (m=14)? If we square each return, the series is 0.0036, 0.0025, 0.0016 and 0.0009. If we sum this series of squared returns, we get 0.0086. Divide by 4 (since m=4) and we get 0.00215. That’s the moving average variance, such that the moving average volatility is about 4.64%.
I don't understand why 6% (n-1), 5% (m-2), 4% (n-3) and 3% (n-4) have in parentheses (n-1), m-2, n-3 and n-4, what does it mean?
Thanks a lot!
Renzo