4. Statistical measures of stand-alone risk Remember, the expected value of a probability distribution is a statistical measure of the averesible circumstances. To compute an asset's expected return under a range of possible circumstances (or states of nature), multiply the anticipated return expected to result during each state of nature by its probability of occurrence. Consider the following case: Ethan owns a two-stock portfolio that invests in Celestial Crane Cosmetology Company (CCC) and Lumbering Ox Lumber Mill (LOT). Three-quarters of Ethan's portfolio value consists of CCC's shares, and the balance consists of LOT's shares. Each stock's expected return for the next year will depend on forecasted market conditions. The expected returns from the stocks in different market conditions are detailed in the following table: Calculate expected returns for the individual stocks in Ethan's portfolio as well as the expected rate of return of the entire portfo the possible market conditions next year. - The expected rate of return on Celestial Crane Cosmetology 's stock over the next year is - The expected rate of return on Lumbering Ox Lumber Mill's stock over the next year is - The expected rate of return on Ethan's portfolio over the next year is The expected returns for Ethan's portfolio were calculated based on three possible conditions in the market. Such conditions will vary from time time, and for each condition there will be a specific outcome. These probabilities and outcomes can be resented in the form probability distribution graph. The expected returns for Ethan's portfolio were calculated based on three possible conditions in the market. Such conditions will vary from time to time, and for each condition there will be a specific outcome. These probabilities and outcomes can be represented in the form of a continuous probability distribution graph. For example, the continuous probability distributions of rates of return on stocks for two different companies are shown on the following graph: Based on the graph's information, which of the following statements is true? Company A has a tighter probability distribution. Company B has a tighter probability distribution