This article shows how the application of copulas to real financial data allows to capture and replicate non-linear links between stochastic returns. This is an important approach in risk management because it is surely more appropriate than traditional linear correlation indicators when analyzing random phenomena in financial market turmoil.

Agosto, A., Mainini, A., Moretto, E., Use of copulas for Value-At-Risk calculation and back-testing with an application to Italian data, <<RISK MANAGEMENT MAGAZINE>>, 2018; 13 (2): 6-14 [http://hdl.handle.net/10807/133085]

Use of copulas for Value-At-Risk calculation and back-testing with an application to Italian data

Mainini, Alessandra;Moretto, Enrico
2018

Abstract

This article shows how the application of copulas to real financial data allows to capture and replicate non-linear links between stochastic returns. This is an important approach in risk management because it is surely more appropriate than traditional linear correlation indicators when analyzing random phenomena in financial market turmoil.
2018
Italiano
Agosto, A., Mainini, A., Moretto, E., Use of copulas for Value-At-Risk calculation and back-testing with an application to Italian data, <<RISK MANAGEMENT MAGAZINE>>, 2018; 13 (2): 6-14 [http://hdl.handle.net/10807/133085]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/133085
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact