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The Lognormal Distribution
A random variable Y follows a lognormal distribution if its natural logarithm, lnY, is normally distributed.
Lognormal distribution is bounded below by 0 and it is skewed to the right. A usefully accurate description of the distribution of asset prices.


[Practice Problems] In contrast to normal distributions, lognormal distributions:
A. are skewed to the left.
B. have outcomes that cannot be negative.
C. are more suitable for describing asset returns than asset prices.
[Solutions] B
By definition, lognormal random variables cannot have negative values.
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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