Covariance question

I have seen a question that asks for covariance between market 1 and market 2 given: Covariance matrix Global Equity Global Bonds Global Equity 0.225 0.0022 Global Bonds 0.0022 0.0025 Factor sensitivities Global Equity Global Bonds Market 1 1.2 0 Market 2 0.9 0

Answer is given as: M12 = (1.20 × 0.90 × 0.0225) + (0 × 0 × 0.0025) + [(1.20 × 0) + (0 × 0.90)] × 0.0022 = 0.0243. Can someone explain their formula and whatever happened to our covariance between two markets formula of B1 x B2 x variance of return to market?

This is based on market factor model. Not based on historical estimate of covariance.

Thanks, 1. What reading is market factor models in?

  1. Why can’t we use the Beta x Beta x variance of market returns formula?

Reading is on capital market expectation. I guess the number given here is not the same as your beta x beta x variance marker formula. Also this is a 2 factor model. It just a different model to use to find covariance. I not an expert on this btw

it would be a bit harsh if this came up…

This is the factor covariance matrix formula. It’s the hardest formula to remember, and I am not going to bother. They can have the 3 points if they put it in the PM exam. If it’s 8 marks in the AM, I’ll start weeping in the exam.

Where in the curriculum is this equation?

it’s in Applications of Economic Analysis to PM under statistical forecasting tools

Mij=bi1bj1Var(F1)+bi2bj2Var(F2)+(bi1bj2+bi2bj1)Cov(F1,F2) + Var(εi)

I think it’s easier to memorize the example they provide in the curriculum than that formula…

it’s actually very similar to the variance of a 2-asset portfolio formula…

just with b1 x b2 instead of b1^2 = (b1 x b1)