Testing Goodness of Fit for Parametric Families of Copulas—Application to Financial Data
By Jadran Dobric, Friedrich Schmid. 2005
56 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/b4a6e3cd7c8911a6d05f1a2b466220436107c723
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In Economics and Econometrics
In Finance
- Daniel Berg
- C. Savu
- Mark Trede
- Claudia Czado
- Eike C. Brechmann
- Andrew J. Patton
- Jean-David Fermanian
- Marius Hofert
Citations in the corpus
- Hierarchies of Archimedean copulas (2010, background): “A number of empirical papers have shown that Gaussian copulas do not fit return data well (Mashal and Zeevi 2002 , Dobric and Schmid 2005 ).”
- Copula goodness-of-fit testing: an overview and power comparison (2009, methodology): “The parametric bootstrap procedure used in Genest et al. (2006a) is adopted, the validity of which is established in Genest and Rémillard (2008).”
- Goodness-of-Fit Tests for Copulas of Multivariate Time Series (2017, unknown): “In many applications so far, the serial dependence problem is either ignored, i.e., the data are not “filtered” to remove serial dependence, as in Dobrić and Schmid [5], Dobrić and Schmid [6] and Kole et al. [7], or the data are “filtered” but the potential inferential problems of using Econometri”
- Goodness-of-fit tests for parametric families of Archimedean copulas (2008, methodology): “Others introduce multivariate tests based on the 2 statistic, such as Dobrić and Schmid (2005).”