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An index and a few stocks, what is the best mix?

Separate market risk from firm-specific surprises, then build the optimal risky portfolio using an index and analysed stocks. Solve has 10 questions with editable givens and worked answers.

A simpler model · Step 1 of 12

One index can replace a web of covariances

0100200Estimate countFull modelIndex model
Full modelIndex model
A portfolio forecast needs expected returns and an account of how securities move together. The full covariance approach forecasts every pair; the single-index model links each stock to the same market index. Start by comparing their input counts. The index model needs fewer estimates with at least five securities; with four the counts match, and with fewer the full approach needs fewer.
Try it: Change the number of stocks, including small portfolios.
Number of securities20
Full model
230
Index model
62
Full minus index
168
Full model = n returns + n variances + n(n − 1) ÷ 2 covariances.
(20 + 20 + (20 × (20 − 1) ÷ 2)) = 230 estimates.
Index model = n alphas + n betas + n residual variances + market premium + market variance.
((3 × 20) + 2) = 62 estimates.
Full minus index = (230 − 62) = 168. The index model needs fewer estimates.
Check yourself
Which forecasts grow with the number of distinct stock pairs in the full approach?

Exam coming up and alpha, beta and residual risk still blur together?

Bring your problem sets. We work through them together until every type feels routine.

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