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A measure of the variation in price over time. Also a measure of the risk of a financial instrument.

12 votes
2 answers
716 views

How to estimate the following model?

Suppose I have the following model: $$r_t=\sigma_t * \epsilon_t$$ where $r_t$ is the return at time t, $\sigma_t$ is the volatility, the model used to model this volatility is an exponentially weighted … Second question: Suppose the volatility is modeled by an ARCH process. …
7 votes
1 answer
2k views

Fitting distributions to financial data using volatility model to estimate VaR

The R code could look like (data): volatility<-0 quantile<-0 for(i in 11:length(dat)){ volatility[i]<-sd(dat[(i-10):(i-1)]) } for(i in 1:length(dat)){ quantile[i]<-qnorm(0.975,mean=0,sd=volatility[i] … No matter what volatility model they use, I cannot understand the connection of distribution and volatility model. …