Corner portfolio, trial and error??

When you are asked to work out what weights of each corner portfolio will be used to make up the required return, is it trial and error to a certain extent? I feel like I’m missing something because it takes me a while to work it out using trial and error. For example…

Required return is 11.11% and two corner portfolios have expected returns of 12.79% and 10.54%:

So, 0.1111 = w (0.1279) + (1-w)(0.1054)

I realise the weights are 25% and 75% but only through trying different weights in my calculator. Am I missing something? I there a quicker way?! Thanks in advance!!

Yep there is.

0.1111 = w(0.1279) + (1-w)(0.1054)

0.1111 = 0.1280w + 0.1054 - 0.1054w

0.1111-0.1054 = 0.0226w

w = 25.22%

Oh wow. I’m actually embarrassed right now. I think I need to take a break. :confused: Haha thanks very much though!!

Level 3 life…when you forget algebra haha.

Just to add…if there is no constraint on leverage then use the tangency portfolio (Highest sharpe) with the RF rate.

If you write it as:

0.1111 = 0.1279_w_1 + 0.1054_w_2

Then,

w1 = (0.1111 – 0.1054) / (0.1279 – 0.1054) = 0.2533

w2 = (0.1111 – 0.1279) / (0.1054 – 0.1279) = 0.7467

More generally, if:

c = waa + wbb, where wa + wb = 1

then,

wa = (cb) / (ab)

wb = (ca) / (ba)

The symmetry is appealing.

If you draw it out on a number line, you’ll see that the denominator is distance between the known points (a & b) and the numerator is the distance between the unknown point (c) and the other point (i.e., for wa you use the distance from c to b, for wb you use the distance from c to a). If you think about it, it makes sense: if c is closer to a, then you want wa to be bigger than wb, so you use the _ bigger _ distance (c to b) in the numerator.

By the way, this works even if you’re extrapolating (e.g., figuring out the weights when you’re leveraging the tangency portfolio).