We propose a state-space model to estimate the dynamic network among financial institutions selected from STOXX600 North America in the period from January 2005 to May 2020. We measure the network strength and find that the spillover effect increases significantly during the 2008 financial crisis and the coronavirus pandemic. Using weekly updates of the weight matrix, we detect four time-varying communities. Three communities mostly include companies of the financial supersectors, while the remaining includes Canadian companies. Furthermore, the communities centralities peak during the 2008 financial crisis, while during the COVID-19 period lower values are estimated.

Dynamic network analysis of North American financial institutions / Liu, Shaowen; Caporin, Massimiliano; Paterlini, Sandra. - In: FINANCE RESEARCH LETTERS. - ISSN 1544-6123. - 2021:(2021), p. 101921. [10.1016/j.frl.2021.101921]

Dynamic network analysis of North American financial institutions

Paterlini, Sandra
2021-01-01

Abstract

We propose a state-space model to estimate the dynamic network among financial institutions selected from STOXX600 North America in the period from January 2005 to May 2020. We measure the network strength and find that the spillover effect increases significantly during the 2008 financial crisis and the coronavirus pandemic. Using weekly updates of the weight matrix, we detect four time-varying communities. Three communities mostly include companies of the financial supersectors, while the remaining includes Canadian companies. Furthermore, the communities centralities peak during the 2008 financial crisis, while during the COVID-19 period lower values are estimated.
2021
Liu, Shaowen; Caporin, Massimiliano; Paterlini, Sandra
Dynamic network analysis of North American financial institutions / Liu, Shaowen; Caporin, Massimiliano; Paterlini, Sandra. - In: FINANCE RESEARCH LETTERS. - ISSN 1544-6123. - 2021:(2021), p. 101921. [10.1016/j.frl.2021.101921]
File in questo prodotto:
File Dimensione Formato  
LiuCaporinPaterlini2020.pdf

Solo gestori archivio

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.09 MB
Formato Adobe PDF
1.09 MB Adobe PDF   Visualizza/Apri

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/11572/286864
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact