Assume that the return R t of a stock has the following log-normal distribution for fixed t:
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Assume that the return Rt of a stock has the following log-normal distribution for fixed t:
log (Rt) ∼ N(μ, σ2)
Suppose we let the density of log(Rt) be denoted by f (Rt) and hypothesize that μ = 0.17.We further estimate the variance as σ2 = 0.09.
(a) Find a function ξ(Rt) such that under the density, ξ(Rt) f(Rt), Rt has a mean equal to the risk-free rate r = 0.05.
(b) Find a ξ(Rt) such that Rt has mean zero.
(c) Under which probability is it “easier” to calculate
E[R2t]
(d) Is the variance different under these probabilities?
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Related Book For
An Introduction to the Mathematics of Financial Derivatives
ISBN: 978-0123846822
3rd edition
Authors: Ali Hirsa, Salih N. Neftci
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