In this paper we compute an aggregate index of risk aversion and indices of vulnerability and the contribution to systemic risk aversion for five European countries. The variance risk premium proxies risk aversion. The contribution to the literature is twofold. First, this is the first study estimating not only the common component, but also indices of directional connectedness among variance risk premia. Second, it is the first to estimate the interconnections by means of a FIVAR model, in order to account for long memory. Our analysis indicates measures of total and directional connectedness unlike those that would be obtained with the use of a short memory VAR. These differences arise when the focus is on market turmoil periods and on forecast horizons of thirty days. Future research evaluating spillovers among long memory series can benefit from our results. Policy-makers should take these interconnections into account when adopting effective macroeconomic policies.

Risk aversion connectedness in five European countries / Cipollini, Andrea; Lo Cascio, Iolanda; Muzzioli, Silvia. - In: ECONOMIC MODELLING. - ISSN 0264-9993. - 71:nd(2018), pp. 68-79. [10.1016/j.econmod.2017.12.003]

Risk aversion connectedness in five European countries

Silvia Muzzioli
2018

Abstract

In this paper we compute an aggregate index of risk aversion and indices of vulnerability and the contribution to systemic risk aversion for five European countries. The variance risk premium proxies risk aversion. The contribution to the literature is twofold. First, this is the first study estimating not only the common component, but also indices of directional connectedness among variance risk premia. Second, it is the first to estimate the interconnections by means of a FIVAR model, in order to account for long memory. Our analysis indicates measures of total and directional connectedness unlike those that would be obtained with the use of a short memory VAR. These differences arise when the focus is on market turmoil periods and on forecast horizons of thirty days. Future research evaluating spillovers among long memory series can benefit from our results. Policy-makers should take these interconnections into account when adopting effective macroeconomic policies.
2018
15-dic-2017
71
nd
68
79
Risk aversion connectedness in five European countries / Cipollini, Andrea; Lo Cascio, Iolanda; Muzzioli, Silvia. - In: ECONOMIC MODELLING. - ISSN 0264-9993. - 71:nd(2018), pp. 68-79. [10.1016/j.econmod.2017.12.003]
Cipollini, Andrea; Lo Cascio, Iolanda; Muzzioli, Silvia
File in questo prodotto:
File Dimensione Formato  
2018 CLCM EM2018.pdf

Accesso riservato

Descrizione: versione pubblicata
Tipologia: Versione pubblicata dall'editore
Dimensione 2.63 MB
Formato Adobe PDF
2.63 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1150880
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 10
social impact