2. Statistical measures of standalone risk Remember, the expected value of a probability distribution is a statistical measure of the average (mean) value expected to occur during all possible 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 Cosmetics Company (CCC) and Lumbering Ox Truckmakers (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 portfolio over the three possible market conditions next year. - The expected rate of return on Celestial Crane Cosmetics's stock over the next year is - The expected rate of return on Lumbering Ox Truckmakers's stock over the next year is - The expected rate of return on Ethan's portfolio over the next year is 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 company's returns exhibit the greater risk? Company H Company G