ng the m.g.f. for a normal random variable and w that, for Ia = I{Y > a}, we have that E[YIa] ≤e+o² ( log a- σ ain an upper bound for E[(Y - K)+], where (x)¯ e background: a European call option gives you tock. S. at some future time T for a price K. T

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Let X~ N(μ, o²), and let y = ex.
i) Using the m.g.f. for a normal random variable and the Cauchy-Schwarz inequality,
show that, for Ia = I{Y > a}, we have that
E[YIa] ≤ ¹+²
(_loga-μ)²
ii) Obtain an upper bound for E[(Y – K)+], where (x)+ = max{x, 0}, and K > 0.
Some background: a European call option gives you the right to purchase one share
of stock, S, at some future time T for a price K. The price of such an option is the
expected payoff e¯rTE[(S – K)+], where r is the interest rate. The result in (ii) can
be used to bound the option price under the widely used assumption that the stock
price S has a log-normal distribution.
Transcribed Image Text:Let X~ N(μ, o²), and let y = ex. i) Using the m.g.f. for a normal random variable and the Cauchy-Schwarz inequality, show that, for Ia = I{Y > a}, we have that E[YIa] ≤ ¹+² (_loga-μ)² ii) Obtain an upper bound for E[(Y – K)+], where (x)+ = max{x, 0}, and K > 0. Some background: a European call option gives you the right to purchase one share of stock, S, at some future time T for a price K. The price of such an option is the expected payoff e¯rTE[(S – K)+], where r is the interest rate. The result in (ii) can be used to bound the option price under the widely used assumption that the stock price S has a log-normal distribution.
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