In the literature of risk analysis different synthetic indices are artificially built and in this work we propose to use the combination statistical procedure of theunivariate indices proposed by V-lab. The combination technique may also be considered to perform nonparametric inference. So we propose to highlight systemic risk in a network of companies performing a nonparametric test to reveal heterogeneity behaviour; in this case one ranking is used to create different behavioural groups.
A nonparametric measure of riskness in financial systems
PARPINEL, Francesca;PIZZI, Claudio
2015
Abstract
In the literature of risk analysis different synthetic indices are artificially built and in this work we propose to use the combination statistical procedure of theunivariate indices proposed by V-lab. The combination technique may also be considered to perform nonparametric inference. So we propose to highlight systemic risk in a network of companies performing a nonparametric test to reveal heterogeneity behaviour; in this case one ranking is used to create different behavioural groups.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
3432-7847-1-PB.pdf
accesso aperto
Descrizione: Articolo principale
Tipologia:
Versione dell'editore
Licenza:
Accesso libero (no vincoli)
Dimensione
126.05 kB
Formato
Adobe PDF
|
126.05 kB | Adobe PDF | Visualizza/Apri |
I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



