CORPORATE FINANCE-ACCESS >CUSTOM<
CORPORATE FINANCE-ACCESS >CUSTOM<
11th Edition
ISBN: 9781260170016
Author: Ross
Publisher: MCG CUSTOM
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Chapter 14, Problem 23CQ

Efficient Market Hypothesis Suppose the market is semistrong form efficient. Can you expect to cam excess returns if you make trades based on:

  1. a. Your broker’s information about record earnings for a stock?
  2. b. Rumors about a merger of a firm?
  3. c. c. Yesterday’s announcement of a successful new product test?
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The efficient markets hypothesis identifies three forms of market efficiency. (a) You observed that high-level managers make superior returns on investments in their company’s stock. Would this be a violation of weak-form market efficiency? Would it be a violation of strong-form market efficiency?            (b) If the weak form of the efficient market hypothesis is valid, must the strong form also hold? Conversely, does strong form efficiency imply weak form efficiency? (c) Stock XYZ, which traded for several months at a price of K72, and then declines to K65. if the stock eventually begins to increase in price, K72 is considered a resistance level because investors who bought originally at K72 will be eager to sell their shares as soon as they can break even on their investment. If everyone in the market believes in resistance levels, why do these beliefs not become self-fulfilling prophecies?
Suppose the market is strong from efficient. Can you expect to earn excess returns if you make trades based on: a. An analyst’s forecasts about future company earnings? b. Rumours about the takeover of a firm? c. A company’s announcement of a successful prototype launch?
Assume that markets are semi-strong form efficient. Suppose, then, that during a trading day, important new information is released for the first time concerning a certain company. This information indicates that one of the firm's oil fields, previously thought to be very promising, just came up dry. How would you expect the price of a share of stock to react to this information?
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Portfolio return, variance, standard deviation; Author: MyFinanceTeacher;https://www.youtube.com/watch?v=RWT0kx36vZE;License: Standard YouTube License, CC-BY