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Unit 12: Models




                                                                                                Notes
                 Example: Ms. Sushma owns a portfolio composed of four securities with the following
          characteristics:
                                              Standard Deviation
               Security         Beta                                    Projection
                                             Random Error Term
                ACC             1.05                 12                    .30
                 ABB            0.90                 10                    .30
                 ITC            1.20                 15                    .25
                LRBL            1.00                 11                    .15

          If the standard deviation of the market index is 20%, what is total risk of Ms. Sushma’s portfolio?

                            4
          Solution:       p   x i  i
                           i 1
                         = (0.30 × 1.05) + (0.30 × 0.90) + (0.25 × 1.20) + (0.15 × 1.0)
                         = [0.315 + 0.27 + 0.3 + 15]

                         = 1.035
          The standard deviation of the portfolio is:
                                                                                2 1/2
                                                                            2
                         = [(1.035)  (20)  + (0.30)  (12)  +(0.30)  (10)  + (0.25)  (15)  + (0.15)  (11) ]
                                                          2
                                                                 2
                                                      2
                                                2
                                            2
                                 2
                                                                     2
                                     2
                         = [428.49 + 12.96 +9 + 14.0625 + 2.7225]   ½
                         = 21.62%
          12.2 Single Index Model
          Sharpe assumed that, for the sake of simplicity, the return on a security could be regarded as
          being linearly related to a single index like the market index. Theoretically, the market index
          should consist of all the securities trading on the market. However, a popular average can be
          treated as a surrogate for the market index. The acceptance of the idea of a market between
          individual securities is because any movements in securities could be attributed to movements
          in the single underlying factor being measured by the market index. The simplification of the
          Markowitz Model has come to be known as the Market Model or Single Index Model (SIM).
          In an attempt to capture the relative contribution of each stock towards portfolio risk, William
          Sharpe has developed a simple but elegant model called as ‘Market Model’. His argument is like
          this. We appreciate that the portfolio risk declines as the number of stocks increases but to an
          extent. That part of the risk which cannot be further reduced even when we add few more stocks
          into a portfolio is called systematic risk. That undiversifiable risk is attributed to the influence
          of systematic factors principally operated at a given market. If one includes all traded securities
          in a market in his portfolio, that portfolio reduces the risk to the extent of the market influences.
          In such a case, one can easily capture every individual stock’s contribution to portfolio risk by
          simply relating its returns with that of the market index. Such a relationship is expected to give
          us the market sensitivity of the given scrip. This is exactly the relationship that William Sharpe
          has estimated with a simple regression equation considering the returns or Market Index, such
          as SENSEX, ET Index, NSE Index or RBI Index as independent variable and returns on individual
          stocks as dependent.
              R +   +    – e
               it  i  mt  it



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