easy · Quantitative Finance
In the context of the Markowitz mean-variance framework, let Σ be the n × n covariance matrix of asset returns and μ be the vector of expected returns.
Which vector w represents the weights of the Global Minimum Variance (GMV) portfolio, subject to the constraint w^topmathbf1 = 1?
- w = fracΣ^-1μmathbf1^topΣ^-1μ, a tangency mix
- w = fracμmathbf1^topμ (ignores covariance matrix)
- w = fracΣ^-1mathbf1mathbf1^topΣ^-1mathbf1
- w = Σ^-1(μ - r_f mathbf1), unnormalized risky-asset tangency weights
Sign up free to see the explanation and track your rank →
More Quantitative Finance practice
- If the underlying stock price S moves by +$2.00 over a very short interval, what is the es
- What is the estimated OLS slope hatβ?
- If the flat yield curve is at 4% (continuously compounded), what is the bond's price?
- As the number of assets n approaches infinity, what happens to the total portfolio varianc
- What is the fair no-arbitrage price for a six-month (T = 0.5) forward contract?
- If the risk-neutral probability of an up move is p = 0.6 and the risk-free rate is zero, w
- When pricing a 'Digital' (or Binary) call option near expiry with the spot price very clos
- Calculate the price of a zero-coupon bond that pays $1000 in two years, given that the one