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EN - US Stock Selection Case Study Markowitz won the Nobel Prize for his work in stock portfolio theory. He was the first to measure

EN-US
Stock Selection Case Study
Markowitz won the Nobel Prize for his work in stock portfolio theory. He was the first to measure portfolio risk using the variance of returns
.
1
He introduced stock selection based on an
efficient frontier
,
namely, by picking the stocks that give the portfolio
with minimum variance for a given return" and
maximum return for a given variance."
An investor is considering buying a combination of
3
stocks
Alpha
,
"
Bravo
,
"
and
Charlie
"
-
using Markowitz's portfolio optimization method. The expected returns and risk of these stocks are given in Table
1
.
Table
1
.
Return and Risk Data for
3
stocks
Stock Alpha Bravo Charlie
Expected Return
Risk
(
variance of returns
)
0
.
0
6
2
0
.
0
1
4
6
0
.
1
4
6
0
.
0
8
5
4
0
.
1
2
8
0
.
0
2
8
9
An investor would like to purchase some combination of the
3
stocks to build a
portfolio that gives at least a
1
0
%
return at the lowest possible risk
(
i
.
e
.
,
at
A portfolio's variance depends on how each individual stock's price fluctuations are correlated with every other stock's, known as the
covariance of returns. The covariances are given in the variance
-
covariance matrix in Table
2
.
For example, the covariance between Alpha and Bravo is
0
.
0
1
8
7
.
2
Table
2
.
Variance
-
Covariance Matrix of Returns
Alpha Bravo Charlie Al

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