Discussion Papers, Department of Business and Management Science, Norwegian School of Economics (NHH)
On the estimation of correlations for irregularly spaced time series
Abstract: In this paper, the problem of calculating covariances and
correlations between time series which are observed irregularly and at
different points in time, is treated. The problem of dependence between the
time stamp process and the return process is especially highlighted and the
solution to this problem for a special case is given. Furthermore,
estimators based on different interpolation methods are investigated. The
covariances are in turn used to estimate a simple regression on such data.
In particular, the difference of first order integrated processes, I(1)
processes, are considered. These methods are relevant for stock returns and
consequently of importance in e.g. portfolio optimization.
Keywords: Irregularly spaced time series; covariance; correlation; financial returns; (follow links to similar papers)
JEL-Codes: C10; (follow links to similar papers)
17 pages, July 6, 2007
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