Arbeitspapier

Exploring local dependence

This paper discusses two graphical methods for the investigation of local association of two continuous random variables. Often, scalar dependence measures, such as correlation, cannot reflect the complex dependence structure of two variables. However, dependence graphs have the potential to assess a far richer class of bivariate dependence structures. The two graphical methods discussed in this article are the chi-plot and the local dependence map. After the introduction of these methods they are applied to different data sets. These data sets contain simulated data and daily stock return series. With these examples the application possibilities of the two local dependence graphs are shown.

Sprache
Englisch

Erschienen in
Series: CoFE Discussion Paper ; No. 02/14

Klassifikation
Wirtschaft
Thema
Association
bivariate distribution
chi-plot
copula
correlation
kernel smoothing
local dependence
permutation test
Schätztheorie
Deskriptive Statistik
Theorie

Ereignis
Geistige Schöpfung
(wer)
Abberger, Klaus
Ereignis
Veröffentlichung
(wer)
University of Konstanz, Center of Finance and Econometrics (CoFE)
(wo)
Konstanz
(wann)
2002

Handle
URN
urn:nbn:de:bsz:352-opus-8391
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Abberger, Klaus
  • University of Konstanz, Center of Finance and Econometrics (CoFE)

Entstanden

  • 2002

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