# beginner portfolio statistics - annualized volatility of multi-asset portfolio

Sorry for the dumb question, but I wanted to make sure my understanding of what I read and compiled was correct! I am trying to calculate the variance-covariance matrix, and annualized volatility of a multi-crypto portfolio. My method is as follows:

• got the daily prices of the cryptos in the portfolio. Given for one of the assets, only ~120 days of prices exist, I have a sample of 120 prices.
• I compute the percent daily change
• I calculate the variance-covariance matrix on these daily changes. Then, do I have to multiply by 120, or 365 ? I am trying to get the portfolio volatility, and I read everywhere that this should be annualized. For stocks, it's by multiplying 252, but for crypto is it 365 (24/7 trading)?
• I then calculate the dot product of the variance-covariance matrix and weights, and once more the dot product of what I get by the weights The square root of this then is annualized volatility?? What happens if I don't multiply by 120 / 365? Is this a useful metric?

Lastly, if I want to get the VaR of my portfolio, I can multiply the volatility by the z value ~ 1.64?

Does this make sense, or am I completely wrong and I have to hit the books again??

Thanks!!!

Alex

EDIT: distribution of BTC returns over 2 years • You are using a parametric VaR but I agree with Matthew that historical VaR would give you a better estimation. You could also check a Cornish Fisher VaR which adjusts the parametric (gaussian) z-score for distribution's actual skewness and kurtosis. Mar 25, 2021 at 18:50
• Also, to properly annualize the returns for 120 days you must consider compounding $$(1 + R_t)^{365/120} - 1$$ Mar 25, 2021 at 19:20

I would multiply the variance matrix of the daily changes by 365. 365 would be the best choice because cryptos are traded every day of the year. This gives you an annualized variance matrix ($V$). Note that multiplying by 365 assumes that the daily returns are IID, and this may also not be true in practice.
The calculation of the annual portfolio volatility is correct: $\sigma = \sqrt{x'Vx}$. This can be converted into the 95% VaR by scaling by $z \approx 1.64$