In the following linear AR (1) model, rt is the log price of a security at time
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In the following linear AR (1) model, rt is the log price of a security at time t.
rt=0.00 4+rt−1+at,
here at is a random process obeying normal distribution N (µ, σ 2) with mean µ and variance σ 2, such as the following
at∼ iid N (0, 0.36),
Assume further that r100 = 3.865. Compute the 95% interval forecast for r101 at the forecast origin t = 100.
Related Book For
Income Tax Fundamentals 2013
ISBN: 9781285586618
31st Edition
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
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