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Number of data points required for Cointigration

On 23 January 2015 at 09:24, amol gupta <amolgupta87 at gmail.com> wrote:
I don't think so. My involvement in cointegration was in the
macroeconometrics area. Here we liked to use at least 30 years of
data. For annual or quarterly data series such as spreads were
generally stationary about a constant level. The idea of a equilibrium
trend in a spread does not make sense to me. In such cases one would
draw a graph and look at the number of times the series crossed a
measure of the equilibrium spread. The more times the series crosses
the equilibrium the easier it is to assess stationarity. If there are
few crossings the either the series in non-stationary or you have not
got enough data.  You can also think about how long shocks will take
to work through the system. Your series should be a multiple of that
length. Increasing the periodicity of the data does not necessarily
may lengthen the series but it does not increase the time covered by
the series.
Yes. If you fit an error correction mechanism by Engle-Granger or
Johannsen the coefficient on the error correction mechanism can be
used to get a half life for deviations from equilibrium. A small
coefficient means that the equilibrium is restored slowly.
John C Frain, Ph.D.

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