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the amount of risk (standard deviation) that you want to take. It is extremely unlikely that
you could find this portfolio on your own using just intuition and guesswork. Markowitz
created a powerful tool indeed. Most of today's financial risk modeling relies to some
degree on variations of the Markowitz technique.
At first glance, it might appear that Markowitz solved all of our risk management issues in
one shot. Unfortunately, reality intrudes again. One difficulty is that the size of the problem
increases exponentially as the number of stocks increases. A problem with 10 stocks
requires you to assess and analyze 55 standard deviations and correlations. A problem with
100 stocks involves 5,050 standard deviations and correlations. A problem with 1,000
stocks, which is a small fraction of the stocks available in the market, involves 500,500
standard deviations and correlations. Where do you get all those expected returns, standard
deviations, and correlations? Remember, they must represent your beliefs, so you can't just
buy them from someone else and use them blindly. Where do you find a computer big
enough, fast enough, and cheap enough to use? It is unlikely that the government will lend
you a supercomputer to manage your personal finances. Fortunately, over the years, many
ingenious people have found reasonable simplifying assumptions that cut the Markowitz
model down to size and make it a practical real-world tool, when applied with good
judgment.
Leaving all the quibbles aside, we have made considerable progress in defining and
quantifying financial risk. Even though standard deviation, or other