Question

Assume that stock market returns have the market index as a common factor, and that all stocks in the economy have a beta of 1.2 on the market index. Firm-specific returns all have a standard deviation of 25%.

Suppose that an analyst studies 20 stocks and finds that one-half of them have an alpha of +1.6%, and the other half have an alpha of −1.6%. Suppose the analyst invests $1.0 million in an equally weighted portfolio of the positive alpha stocks, and shorts $1 million of an equally weighted portfolio of the negative alpha stocks.

a. What is the expected profit (in dollars) and standard deviation of the analyst’s profit? (Do not round intermediate calculations. Round your answers to the nearest whole dollar amount.)

Expected profit (in dollars) ______ ?

Standard Deviation ________ ?

b. How does your answer change if the analyst examines 50 stocks instead of 20 stocks? 100 stocks? (Do not round intermediate calculations. Round your answers to the nearest whole dollar amount.)

Standard deviation of 50 stocks = ______

Standard deviation of 100 stocks = _______

Answer 1

a). Rm expected dollar return = $1,000,000 x (0.016 + 1.2 x Rm) - $1,000,000 x (-0.016 + 1.2 x Rm)

= $1,000,000 x 0.0384 = $38,400

The sensitivity of the payoff of this portfolio to the market factor is zero because the exposures of the positive alpha and negative alpha stocks cancels out. (Notice that the terms involving R_M sum to zero.) Thus, the systematic component of total risk also is zero. The variance of the analyst's profit is not zero, however, since this portfolio is not well diversified.

For n = 20 stocks (i.e., long 10 stocks and short 10 stocks) the investor will have a $100,000 position (either long or short) in each stock. Net market exposure is zero, but firm-specific risk has not been fully diversified. The variance of dollar returns from the positions in the 20 firms is

[20 x {(100,000 x 0.25)²}]^1/2 = [12,500,000,000]^1/2 = $111,804

b). If n = 50 stocks (25 long and 25 short), $40,000 is placed in each position, and the variance of dollar returns is

[50 x {(40,000 x 0.25)²}]^1/2 = [5,000,000,000]^1/2 = $70,711

,he standard deviation of dollar returns is $70,711

Similarly, if n = 100 stocks (50 long and 50 short), $20,000 is placed in each position, and the variance of dollar returns is

[100 x {(20,000 x 0.25)²}]^1/2 = [2,500,000,000]^1/2 = $50,000

The standard deviation of dollar returns is $50,000.

Notice that when the number of stocks increased by a factor of 5, from 20 to 100, standard deviation fell by a factor of = 2.236, from $134,164 to $60,000.