Consider the Following Discrete Probability Distributions of Payoffs for 3

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) : $$\begin{array} { | l | l | l | } \hline \text { SECURITY } & \text { PROBABILITY } & \text { PAYOFF } \\\hline \text { Alpha } & 0.50 & 355 \\\hline & 0.49 & 150 \\\hline & 0.01 & - 300 \\\hline\end{array}$$ $$\begin{array} { | l | l | l | } \hline \text { SECURITY } & \text { PROBABILITY } & \text { PAYOFF } \\\hline \text { Beta } & 0.50 & 400 \\\hline & 0.49 & 150 \\\hline & 0.0025 & - 300 \\\hline & 0.0075 & - 3,300 \\\hline\end{array}$$ $$\begin{array} { | l | l | l | } \hline \text { SECURITY } & \text { PROBABILITY } & \text { PAYOFF } \\\hline \text { Gamma } & 0.49 & 400 \\\hline & 0.49 & 150 \\\hline & 0.01 & - 150 \\\hline & 0.01 & - 2.000 \\\hline\end{array}$$ What is the expected payoff, the 99% value at risk (VAR) and the expected shortfall (ES) of security Gamma (in millions) ?

A) +$248; ?$2,000; ?$2000
B) ?$248; ?$20; ?$2,000
C) ?$2.150; ?$2,150; ?$2,150
D) +$248; ?$21.50; ?$20.00
E) ±$0.00; ?248; ?$2,150