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Consider a daily stock return time series (continuously compounded) that follows a Gaussian White Noise model: Rt ~ N(0.002,0.022). We can write this as Rt=
Consider a daily stock return time series (continuously compounded) that follows a Gaussian White Noise model: Rt ~ N(0.002,0.022). We can write this as Rt= + t, where:
a. has a mean of:
b. has a variance of:
c. has a mean of:
d. has a variance of:
According to this model (assuming 1 month = 21 trading days):
e. What is the monthly mean return?
f. What is the monthly variance?
Suppose the starting price is $10.
g. The stock price after 25 days will have a _______ distribution.
h. The log-price after 25 days will have a mean of:
i. and a variance of:
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