5. Suppose we have a risky asset with random return R. We have defined R to be, S1 - So So Now we introduce the log-return, which is defined as R = In (). In this question, assume that R~ N(u, o2) where =0 and o² = 0.1. (i) Show that R = eR - R= 1. (ii) Calculate VaR0.95 for an investment of £150. Remember that if X~ N(μ,0²) then exis lognormally distributed with parameters and o². You may use that for a standard normal random variable -¹(0.05) = -1.6449, where denotes the CDF.

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5. Suppose we have a risky asset with random return R. We have defined R to be,
S₁ - So
So
R =
In
=
Now we introduce the log-return, which is defined as R =
assume that R~ N(u, o²) where μ = 0 and o² = 0.1.
µ
(i) Show that ReR - 1.
=
So
In this question,
(ii) Calculate VaR0.95 for an investment of £150. Remember that if X ~ N(μ,0²)
then exis lognormally distributed with parameters μ and o². You may use that
for a standard normal random variable Þ−¹(0.05) = −1.6449, where Þ denotes the
CDF.
Transcribed Image Text:5. Suppose we have a risky asset with random return R. We have defined R to be, S₁ - So So R = In = Now we introduce the log-return, which is defined as R = assume that R~ N(u, o²) where μ = 0 and o² = 0.1. µ (i) Show that ReR - 1. = So In this question, (ii) Calculate VaR0.95 for an investment of £150. Remember that if X ~ N(μ,0²) then exis lognormally distributed with parameters μ and o². You may use that for a standard normal random variable Þ−¹(0.05) = −1.6449, where Þ denotes the CDF.
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