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[ How to predict market risk? ] J . P . Morgan proposes a simple statistical model to predict downside market risk for financial instruments

[ How to predict market risk? ] J.P. Morgan proposes a simple statistical model
to predict downside market risk for financial instruments (stock index, foreign
exchange, portfolio). Suppose Yt is the percentage change of a foreign exchange
rate from time t-1 to time t. Then the J.P. Morgan RiskMetrics model is
YtN(t,t2)
where t is the mean of Yt predicted using the information available at time t-1,
and t2 is the variance of Yt predicted using the information available at time t-1.
The value at risk (VaR) at the % level for Yt is defined as the value Vt which is
predicted at time t-1 such that
P(Yt-Vt)=
Now suppose that Yt is the percentage of Japanese Yen per dollar from time t-1
to time t. We assume that t=0 and t2=0.4561
(1) Please find the value at risk Vt at the 10% level for Yt.
(2) Suppose a manager is conservative so he would like to have a VaR at the level
smaller than 10%. Is the VaR at this new level larger or smaller than the VaR
at the 10% level? Explain.
(3) Suppose the Japanese yen becomes more volatile so that the conditional vari-
ance t2 becomes larger. How will the VaR at the 10% level will change? Explain.
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