Page 8 - FINAL CFA SLIDES DECEMBER 2018 DAY 12
P. 8

LOS 41.c: Calculate and interpret the mean,            Session Unit 12:
           variance, and covariance (or correlation) of           41. Portfolio Risk and Return: Part 1
           asset returns based on historical data., p.129


           Variance (Standard Deviation) of Returns for an Individual Security, p.129














                                                         tanties
       Covariance and Correlation of Returns for Two Securities, p.130

       Measures the extent to which two variables move together over time:


                                                  The covariance can be standardized by dividing by the product of the
                                                  standard deviations of the two securities, producing a Correlation

                                                  Coefficient:
                                                                                           Bounded by –1 and +1

                                                                                          +1 deviations from the mean or ER return are
                                                                                          always proportional in the same direction. That
                                                                                          is, they are perfectly positively correlated
                                                                                          -1 deviations from the mean or ER return are
                                                                                          always proportional in the opposite direction.
                                                                                          That is, they are perfectly positively correlated

                                                                                          -0 No linear relationship between the two
                                                                                          stocks –they are uncorrelated; in any period,
                                                                                          knowing the actual value of one variable tells
                                                                                          you nothing about the value of the other!
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