INFOSET: Computing a New Informative Distribution Set of Asset Returns
Estimation of the most-left informative set of gross returns
(i.e., the informative set).
The procedure to compute the informative set adjusts the method
proposed by
Mariani et al. (2022a) <doi:10.1007/s11205-020-02440-6>
and
Mariani et al. (2022b) <doi:10.1007/s10287-022-00422-2>
to gross returns of financial assets.
This is accomplished through an adaptive algorithm
that identifies sub-groups of gross returns in
each iteration by approximating their distribution with a
sequence of two-component log-normal mixtures.
These sub-groups emerge when a significant change
in the distribution occurs below the median of the
financial returns, with their boundary termed as
the “change point" of the mixture.
The process concludes when no further change points are detected.
The outcome encompasses parameters of the leftmost mixture
distributions and change points of the
analyzed financial time series.
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