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?

Distribution
The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...
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