Page 28 - FINAL CFA I SLIDES JUNE 2019 DAY 3
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LOS 9.n: Calculate and interpret an updated                     Session Unit 2:
   probability using Bayes’ formula, p.191
                                                                   9. Probability Concepts






    BF is used to update a given set of prior probabilities for a given event in response to the arrival of new information.












    Example: Bayes’ formula (1): There is speculation that CQ is about to announce a major expansion into overseas markets (O). The
    expansion will occur, however, only if CQ estimate overseas demand is good. Furthermore, if good and we expand, we are likely to
    increase course prices. (I).                                       r

    Let                                                                      If   P(AB) = P (A|B) * P (B)    then

    O =  Announce Overseas expansion,      Assume                                  P(BA) = P (B|A) * P (A)
    I   =  Announce Increase in price, and   the                              But P(AB) = P(BA)
                                          following:
    I C = Announce no price increase
                                                                             Therefore, P (A|B) * P (B) = P (B|A) * P (A)
      In other-words:
      P (O|I) * P (I) = P (I|O) * P (O)

                                                                                                                        If the new information
                                                                                                                        of “expand overseas” is
                                                                                                                        announced, the prior
            P(O) = P(O | I) × P(I) + P(O | IC) × P(IC)                                                                  probability estimate of
                                                                                                                        P(I) = 0.30 must be
      P(O) = (0.6 × 0.3) + (0.4 × 0.7) = P(O) = 0.46                                                                    increased to 0.3913.
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