Does VaR require normal distribution?
While calculating VaR using one of the statistical models, we make many assumptions, one of them is that the asset returns are i.i.d. normally distributed. This means that just like a coin toss, each return is an independent draw from the normal distribution.
What are the assumptions of VaR?
One of the assumptions of a VaR forecast is that the past is a reasonable indicator of the future, and clearly the extreme events in August were not well predicted by those of the previous twelve months. Clearly one issue is in the time series that is used to estimate the forecast.
What are the assumptions in the VAR calculation?
VaR Calculation: The Assumptions of Standard Distribution. While calculating VaR using one of the statistical models, we make many assumptions, one of them is that the asset returns are i.i.d. normally distributed. This means that just like a coin toss, each return is an independent draw from the normal distribution.
How to determine if the normal distribution assumptions are valid?
There are statistical tests that a researcher can undertake which help determine whether the normal distribution assumptions are valid or not. One quick way is to compare the sample means to the real mean.
How is var calculated using a statistical model?
While calculating VaR using one of the statistical models, we make many assumptions, one of them is that the asset returns are i.i.d. normally distributed. This means that just like a coin toss, each return is an independent draw from the normal distribution.
When to use the assumption of normality in error analysis?
One of the most used assumption of normality is in error analysis. We usually assume that the random errors follow a normal distribution. This assumption can break down when there are multiple sources of errors and they are correlated. In addition, if the errors are not truly random, then too this assumption might not be valid.