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Security Analysis and Portfolio Management




                    Notes
                                          Example: Consider a merger between two firms. Normally, a merger or an acquisition
                                   is known about by an ‘inner circle’ of lawyers, investment bankers and firm managers before
                                   the public release of the information. When these insiders violate the law by trading on this
                                   private information, they may make money. They also make it to the SEC’s wall of shame.
                                                        Figure  7.4: Stock  Valuation  during  Mergers






















                                   Unfortunately, stock prices typically  move up  before a  merger, indicating  that someone is
                                   acting dishonestly. The early move indicates that the market has a tendency towards strong-
                                   form efficiency, i.e. even private information is incorporated into prices. However, the public
                                   announcement of  a merger is typically  met with  a large price response, suggesting that the
                                   market  is not  strong-form efficient. Leakage, even  if illegal,  does occur,  but it  is not fully
                                   impounded in stock price. By the way, until recently, insider trading was legal in Switzerland.

                                   Is the Stock Market Semi-strong form Efficient?

                                   The most obvious indication that the market is not always and everywhere semi-strong form
                                   efficient is that money managers frequently use public information to take positions in stocks.
                                   While there is no evidence that they beat the market on a risk-adjusted basis, it is hard to believe
                                   that an entire industry of information production and analysis is for naught. It seems likely that
                                   there is value to publicly available information. However, there are probably degrees to which
                                   information really is public knowledge. What is surprising is that recent studies have shown
                                   some evidence that excess returns can be made by trading upon very public information. These
                                   tests usually take the form of ‘back-testing’ trading strategies. That is, you play a “what-if” game
                                   with past stock prices, and pretend you followed some rule, using information available only at
                                   the time of the pretend trade. One common rule that seems to perform well historically is to buy
                                   stocks when the dividend yield is high. This apparently  has made  money in the past,  even
                                   though the information about  which stocks  have high yields and which have low yields is
                                   widely available. Another  rule that generates positive excess returns in back-tests  is to  buy
                                   stocks when the earnings  announcement is higher than expected. This  seems simple,  since
                                   current announcements and even forecasts are widely available as well.
                                   Does this mean that it is easy to become rich on Wall Street? Hardly! The profitability of these
                                   simple trading rules depends upon  the liquidity  of the  stocks involved,  and trading costs
                                   (‘frictions’). Sometimes the costs outweigh the benefits. While many investment managers explain
                                   that they pursue a strategy of buying ‘value’ stocks (such as low P/E firms) few of these managers
                                   have consistently superior track records.





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