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HCA Techniques Applied to Financial Analysis

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  • Stefan-Alexandru Ionescu

    (Romanian Academy)

Abstract

Cluster analysis can be regarded as an instrument whose purpose is the reduction of object sets, or even of variables, to a smaller number of information entities, which are the classes or the clusters. Nevertheless, although cluster analysis, viewed as a collection of methods and techniques used for the classification of objects, is applied in the space of variables, we notice the frequent use of these techniques of analysis for the classification of objects. In this paper we have shown how these techniques can be applied in the economic-financial field and how the number of classes in which companies can be divided can be detected by observing the existing latent structure

Suggested Citation

  • Stefan-Alexandru Ionescu, 2015. "HCA Techniques Applied to Financial Analysis," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 63(8), pages 15-26, August.
    • Handle: RePEc:rsr:supplm:v:63:y:2015:i:8:p:15-26
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    References listed on IDEAS

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    1. Stephan Dieckmann & Thomas Plank, 2012. "Default Risk of Advanced Economies: An Empirical Analysis of Credit Default Swaps during the Financial Crisis," Review of Finance, European Finance Association, vol. 16(4), pages 903-934.
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    Keywords

    cluster analysis; financial analysis;

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