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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
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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
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
stocks
Alpha
Bravo
and
Charlie
using Markowitz's portfolio optimization method. The expected returns and risk of these stocks are given in Table
Table
Return and Risk Data for
stocks
Stock Alpha Bravo Charlie
Expected Return
Risk
variance of returns
An investor would like to purchase some combination of the
stocks to build a
portfolio that gives at least a
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
For example, the covariance between Alpha and Bravo is
Table
Variance
Covariance Matrix of Returns
Alpha Bravo Charlie Al
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