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The Binomial Distribution


The binomial distribution makes these assumptions:
The probability, p, of success is constant for all trials.
The trials are independent.


[Practice Problems] A stock is priced at $100.00 and follows a one-period binomial process with an up move that equals 1.05 and a down move 0.97. If 1 million Bernoulli trials are conducted, and the average terminal stock price is $102.00, the probability of an up move (p) is closest to:
A. 0.375.
B. 0.500.
C. 0.625.


[Practice Problems] A call option on a stock index is valued using a three-step binomial tree with an up move that equals 1.05 and a down move that equals 0.95. The current level of the index is $190, and the option exercise price is $200. If the option value is positive when the stock price exceeds the exercise price at expiration and $0 otherwise, the number of terminal nodes with a positive payoff is:
A. one. B. two. C. three.

191Distribution of the Sample Mean:[Practicewhen the sample size is large.
168Distribution of the Sample Mean:The Central:[PracticeB.C.when the sample size is large.
599The Normal Distribution:μ;indicated as X ~ Nμ:Approximately 99% fall in μ ± 2.58σ.[PracticemeanNZ corresponding to 8% must equal 50%. So P8% ≤ Portfolio return ≤ 11% = 0.5832 – 0.50 = 0.0832 or approximately 8.3 percent.

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