dc.contributor.author
Arenas, Laura
dc.contributor.author
Gil Lafuente, Anna Maria
dc.date.issued
2021-03-13T06:21:33Z
dc.date.issued
2021-03-13T06:21:33Z
dc.date.issued
2021-03-13T06:21:33Z
dc.identifier
https://hdl.handle.net/2445/175040
dc.description.abstract
The empirical evidence suggests that stock returns in the emerging technology environment exhibit high stock return volatility. The fundamental aim of the article is to investigate the dynamic, time series properties of the correlations between daily log returns and magnitude of the volatility transmissions from the emerging technologies environment to the Spanish banking sector, the Spanish market portfolio and the finance industry in the EU area. Using daily log returns for the performance variables and an equally weighted index was constructed as proxy to represent the emerging technology phenomena covering a period from the 7th of July of 2015 to the 20th of September of 2019. The study applies generalized autoregressive conditional heteroskedasticity GARCH followed by the diagonal BEKK approach (...)
dc.format
application/pdf
dc.format
application/pdf
dc.relation
Versió postprint del document publicat a: https://doi.org/10.3233/JIFS-189195
dc.relation
Journal of Intelligent and Fuzzy Systems, 2021, vol. 40, num. 2, p. 1903-1919
dc.relation
https://doi.org/10.3233/JIFS-189195
dc.rights
(c) IOS Press, 2021
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Empresa)
dc.subject
Innovacions tecnològiques
dc.subject
Anàlisi de sèries temporals
dc.subject
Operacions bancàries
dc.subject
Estadística financera
dc.subject
Technological innovations
dc.subject
Time-series analysis
dc.subject
Bank transactions
dc.subject
Financial statistics
dc.title
Impact of emerging technologies in banking and finance in Europe: A volatility spillover and contagion approach
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion