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Mean reversion is a tendency for a
stochastic
process to remain near, or tend to return over time to a long-run
average value. For example, interest rates
and implied volatilities tend to
exhibit mean reversion. Exchange rates and
stock prices tend not to. Stock
market returns, however, do tend to
exhibit mean reversion. Exhibit 1 provides an intuitive illustration of
the difference between mean reverting and non-mean reverting behavior.
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Mean reversion is a tendency for a
stochastic process to remain near, or return over time to a long-run
average. |
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| Mean reversion is a model. We choose either to, or not to, model any
given quantity with a mean reverting stochastic process. In some cases,
the decision is obvious, as in the examples cited above. Other cases are
more subtle. Looking at a
time series
over a few weeks—or even a few years—may be misleading. Mean reversion may
only reveal itself over very long horizons. Usually, a decision to model a
quantity with a mean reverting stochastic process is based both on
empirical observation of that quantity over time, as well as some
theoretical argument as to why it should be mean reverting. Can you think of a theoretical argument why interest rates or implied
volatilities should be mean reverting but exchange rates or stock prices
should not be?
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