Question

In: Finance

Assume a market index represents the common factor and all stocks in the economy have a...

Assume a market index represents the common factor and all stocks in the economy have a beta of 1. Firm-specific returns all have a standard deviation of 48%.

Suppose an analyst studies 20 stocks and finds that one-half have an alpha of 3.6%, and one-half have an alpha of –3.6%. The analyst then buys $1.6 million of an equally weighted portfolio of the positive-alpha stocks and sells short $1.6 million of an equally weighted portfolio of the negative-alpha stocks.

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

Expected return $
Standard deviation $

b-1. How does your answer change if the analyst examines 50 stocks instead of 20? (Enter your answer in dollars not in millions. Do not round intermediate calculations. Round your answer to the nearest dollar amount.)

Standard deviation            $

b-2. How does your answer change if the analyst examines 100 stocks instead of 20? (Enter your answer in dollars not in millions.)

Standard deviation            $

Solutions

Expert Solution

Shorting equally the 10 negative-alpha stocks and investing the proceeds equally in the 10 positive-alpha stocks eliminates the market exposure and creates a zero-investment portfolio. Denoting the market factor as RM, the expected dollar return is:

(1,600,000 * (0.036 + 1 * RM) - 1,600,000 x (-0.036 + 1 * RM ) )

= 1,600,000 * 0.036 + 1,600,000 * 0.036

= $ 115,200

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 cancel out.(see that the terms involving RM sum to zero).

Thus, the systematic component of total risk also is zero.

The variance of the analyst's profit is not zero. Since this portfolio is not well diversified.

For n = 20 stocks ( long 10 stocks and short 10 stocks) the investor will have a $160,000 position (either long or short) in each stock. Net market exposure is zero, but the firm-specific risk has not been fully diversified.The variance of dollar returns from the positions in the 20 firms is

20 * (160,000* 0.48)2 = 1.179648 * 1011

standard deviation = = $ 343,460

if n = 50 (25 long and 25 short),

variance = 50 * (64,000 * 0.48)2 = 4.718592 * 1011

standard deviation =   = $ 217,223.2

if n = 100 (50 long and 50 short)

variance = 100 * (32,000 * 0.48)2 = 2.359296 * 1010

standard deviation = = $ 153,600


Related Solutions

Assume a market index represents the common factor and all stocks in the economy have a...
Assume a market index represents the common factor and all stocks in the economy have a beta of 1. Firm-specific returns all have a standard deviation of 41%. Suppose an analyst studies 20 stocks and finds that one-half have an alpha of 4.3%, and one-half have an alpha of –4.3%. The analyst then buys $1.3 million of an equally weighted portfolio of the positive-alpha stocks and sells short $1.3 million of an equally weighted portfolio of the negative-alpha stocks. a....
Assume a market index represents the common factor and all stocks in the economy have a...
Assume a market index represents the common factor and all stocks in the economy have a beta of 1. Firm-specific returns all have a standard deviation of 31%. Suppose an analyst studies 20 stocks and finds that one-half have an alpha of 2.0%, and one-half have an alpha of –2.0%. The analyst then buys $1.1 million of an equally weighted portfolio of the positive-alpha stocks and sells short $1.1 million of an equally weighted portfolio of the negative-alpha stocks. a....
Assume a market index represents the common factor and all stocks in the economy have a...
Assume a market index represents the common factor and all stocks in the economy have a beta of 1. Firm-specific returns all have a standard deviation of 34%. Suppose an analyst studies 20 stocks and finds that one-half have an alpha of 2.1%, and one-half have an alpha of –2.1%. The analyst then buys $1.4 million of an equally weighted portfolio of the positive-alpha stocks and sells short $1.4 million of an equally weighted portfolio of the negative-alpha stocks. a....
Assume the return on a market index represents the common factor and all stocks in the...
Assume the return on a market index represents the common factor and all stocks in the economy have a beta of 1. Firm-specific returns all have a standard deviation of 49%. Suppose an analyst studies 20 stocks and finds that one-half have an alpha of 2.6%, and one-half have an alpha of –2.6%. The analyst then buys $1.7 million of an equally weighted portfolio of the positive-alpha stocks and sells short $1.7 million of an equally weighted portfolio of the...
Assume the return on a market index represents the common factor and all stocks in the...
Assume the return on a market index represents the common factor and all stocks in the economy have a beta of 1. Firm-specific returns all have a standard deviation of 36%. Suppose an analyst studies 20 stocks and finds that one-half have an alpha of 3.2%, and one-half have an alpha of –3.2%. The analyst then buys $1.6 million of an equally weighted portfolio of the positive-alpha stocks and sells short $1.6 million of an equally weighted portfolio of the...
Assume the return on a market index represents the common factor and all stocks in the...
Assume the return on a market index represents the common factor and all stocks in the economy have a beta of 1. Firm-specific returns all have a standard deviation of 48%. Suppose an analyst studies 20 stocks and finds that one-half have an alpha of 3.6%, and one-half have an alpha of –3.6%. The analyst then buys $1.6 million of an equally weighted portfolio of the positive-alpha stocks and sells short $1.6 million of an equally weighted portfolio of the...
Assume the return on a market index represents the common factor and all stocks in the...
Assume the return on a market index represents the common factor and all stocks in the economy have a beta of 1. Firm-specific returns all have a standard deviation of 50%. Suppose an analyst studies 20 stocks and finds that one-half have an alpha of 4.6%, and one-half have an alpha of –4.6%. The analyst then buys $1.2 million of an equally weighted portfolio of the positive-alpha stocks and sells short $1.2 million of an equally weighted portfolio of the...
Assume the return on a market index represents the common factor and all stocks in the...
Assume the return on a market index represents the common factor and all stocks in the economy have a beta of 1. Firm-specific returns all have a standard deviation of 41%. Suppose an analyst studies 20 stocks and finds that one-half have an alpha of 4.3%, and one-half have an alpha of –4.3%. The analyst then buys $1.3 million of an equally weighted portfolio of the positive-alpha stocks and sells short $1.3 million of an equally weighted portfolio of the...
Assume that stock market returns have the market index as a common factor, and that all...
Assume that stock market returns have the market index as a common factor, and that all stocks in the economy have a beta of 1.3 on the market index. Firm-specific returns all have a standard deviation of 35%. Suppose that an analyst studies 20 stocks, and finds that half have an alpha of +1.8%, and the other half an alpha of –1.8%. Suppose the analyst buys $2.0 million of an equally weighted portfolio of the positive alpha stocks and shorts...
Assume that stock market returns have the market index as a common factor, and that all...
Assume that stock market returns have the market index as a common factor, and that all stocks in the economy have a beta of 1.6 on the market index. Firm-specific returns all have a standard deviation of 20%. Suppose that an analyst studies 20 stocks and finds that one-half of them have an alpha of +2.4%, and the other half have an alpha of −2.4%. Suppose the analyst invests $1.0 million in an equally weighted portfolio of the positive alpha...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT