A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series

Gautier Marti, Philippe Very, Philippe Donnat and Frank Nielsen

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Abstract: We present in this paper an empirical framework motivated by the practitioner point of view on stability. The goal is to both assess clustering validity and yield market insights by providing through the data perturbations we propose a multi-view of the assets' clustering behaviour. The perturbation framework is illustrated on an extensive credit default swap time series database available online at www.datagrapple.com.

Date: 2015-09
New Economics Papers: this item is included in nep-ets
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1509.05475

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