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 irvests in Blue Llama Mining Company (BLM) and Hungry Whale Electronics (HWE). Threequarters of Ethan's portfolio value consists of BLM's shares, and the balance consists of HWE'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 retums for the individual stocks in Ethan's portfolio as well as the expected rate of retum of the entire portfolio over the three possible market conditions next year. - The expected rate of retum on Blue Llama Mining's stock over the next year is - The expected rate of retum on Hungry Whale Electronics's stock over the next year is - The expected rate of return on Ethan's portfolio over the next year is The expected retums 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 cutcome. 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 statement is false? Company H has lower risk. Company G has lower risk