Re: Add'l details - Yes, safe to assume the weights of each are 1/7.
The LONG WAY....
Here's a link for calc'g the Portfolio Variance (click on #3 Mathematical model) at the bottom of the box you'll see the formula for a 3 asset portfolio - you have 7 assets so each asset is weighted 1/7 = 0.142857 - lots of math.
http://en.wikipedia.org/wiki/Modern_portfolio_theory#Mathematical_model
To calc that Port var. you will need the correlation coefficients p(x,y) ,
p(x,y) = covar(X,Y) / (std devX * std devY)...you have the covars in your matrix, and you can easily calc each std dev by taking the square root of the variance
you can find that formula here:
http://en.wikipedia.org/wiki/Correlation
Beta for each asset is..example Asset A: Covar(returnA,returnMkt) / Var(returnMkt)...where, in your case, the "Market" is the Portfolio.
see here: http://en.wikipedia.org/wiki/Beta_(finance)
The SHORT WAY...
the variance of an equally weighted portfolio (in your case, that represents the entire market) reduces to: [(1/n)*mean variance] + { [(n-1)/n] * mean covariance }
for a 7 asset port...Variance = [ 0.142857*(sum variances/7) ] + [ 0.857143 *(sum covariances/7) ]
see here: http://blog.5m10y.com/2010/04/06/deriving-the-variance-of-equally-weighted-n-asset-portfolio/
then for Beta of each asset "a" you need: Covar(Ra,Rmkt) / Variance(Rmkt)...remember your portfolio IS the market.
FYI - if they were to ask you what the Portfolio Beta is, you know it's 1, since the portfolio IS the market...(by definition the market Beta is 1, the covariance of an asset with itself is it's variance, so Mkt (i.e. HERE Port) Beta = Covar(mkt,mkt) / variance(mkt) = var(mkt)/var(mkt) = 1...) that would be a trick question that, if you know this answer, would save you lots of time.