Chapter 10 – Arbitrage Pricing Theory and Multifactor Models of Risk and Return
10-5
13. The maximum residual variance is tied to the number of securities (n) in the portfolio
because, as we increase the number of securities, we are more likely to encounter
securities with larger residual variances. The starting point is to determine the practical
Now construct a portfolio of n securities with weights w1, w2,…,wn, so that wi =1. The
portfolio residual variance is: 2(eP) = w122(ei)
To meet our practical definition of sufficiently diversified, we require this residual
variance to be less than (pM)2. A sure and simple way to proceed is to assume the
worst, that is, assume that the residual variance of each security is the highest possible
value allowed under the assumptions of the problem: 2(ei) = n2M
A relatively easy way to generate a set of well-diversified portfolios is to use portfolio
weights that follow a geometric progression, since the computations then become relatively
straightforward. Choose w1 and a common factor q for the geometric progression such that
q < 1. Therefore, the weight on each stock is a fraction q of the weight on the previous
stock in the series. Then the sum of n terms is:
wi = w1(1– qn)/(1– q) = 1