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.
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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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