Probability Models For Portfolio Return and Risk Flashcards
the Expected Return of a Portfolio is composed of
N assets with weights, Wi, and Expected Returns, Ri
Covariance is
a measure of how two assets move together.
It is the expected value of the product of product of the deviations of the two random variables from their respective expected values
A common symbol for Covariance between two random variables X and Y is
Cov(X,Y) or written in terms of the return of Asset i, Ri, and the Asset j, Rj
The following are properties of Covariance
The Covariance of a random variable with itself is its variance
Covariance may range from negative infinity to positive infinity
A Positive Covariance indicates that when one random variable is above its mean, the random variable also tends to be above its mean
A Negative Covariance indicates that when one random variable is above its mean, the random variable also tends to be below its mean
a Covariance Matrix shows
the Covariances between returns on a group of assets
to calculate the Portfolio Variance of Returns we use
the asset weights, returns variances, and returns covariances