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Consider the Following Discrete Probability Distributions of Payoffs for 3

question 4

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Consider the following discrete probability distributions of payoffs for 3 securities that are held in a DI's trading portfolio (payoff amounts shown are in $millions) :

 SECURITY  PROBABILITY  PAYOFF  Alpha 0.503550.491500.01300\begin{array} { | l r r | } \text { SECURITY } & \text { PROBABILITY } & \text { PAYOFF } \\\text { Alpha } & 0.50 & 355 \\& 0.49 & 150 \\& 0.01 & - 300\end{array}  SECURITY  PROBABILITY  PAYOFF Beta 0.5015000.493000.00253,300\begin{array} { lcc } \text { SECURITY } & \text { PROBABILITY } & \text { PAYOFF } \\\text {Beta } & 0.50 & 1500 \\& 0.49 & - 300 \\& 0.0025 & - 3,300\end{array}
 SECURITY  PROBABILITY  PAYOFF Gamma 0.494000.491500.011500.012,000\begin{array} { lcc } \text { SECURITY } & \text { PROBABILITY } & \text { PAYOFF } \\\text {Gamma } & 0.49 &400 \\&0.49&150 \\&0.01 &-150 \\&0.01&-2,000\end{array}
What are the expected returns for securities Alpha and Beta,respectively (in millions) ?


Definitions:

Inflation

The rate at which the standard pricing for all goods and services moves upward, reducing the leverage of consumers to buy.

World Commodities

Raw materials or primary agricultural products that are traded on a global scale, which can include oil, gold, wheat, and coffee.

Price Level

The current mean value of prices for every good and service available in the economy.

Output

The total amount of goods or services produced by a person, machine, business, or country.

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