Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Aurelio Fernandez Bariviera"'
Publikováno v:
Journal of Computer Science and Technology, Vol 22, Iss 2, Pp e11-e11 (2022)
Vehicular traffic volume in large cities has increased in recent years, causing mobility problems; therefore, the analysis of vehicle flow data becomes a relevant research topic. Intelligent Transportation Systems monitor and control vehicular moveme
Externí odkaz:
https://doaj.org/article/30f14af5193442898a029148bb3bba94
Publikováno v:
SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Universidad Nacional de La Plata
instacron:UNLP
Vehicular traffic volume in large cities has increased in recent years, causing mobility problems; therefore, the analysis of vehicle flow data becomes a relevant research topic. Intelligent Transportation Systems monitor and control vehicular moveme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0454125530fc248fde541b80cc1e6af
http://sedici.unlp.edu.ar/handle/10915/146927
http://sedici.unlp.edu.ar/handle/10915/146927
Publikováno v:
Economic And Social Review
Scopus-Elsevier
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)
Scopus-Elsevier
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)
This paper investigates the effect of the 2008 financial crisis on informational efficiency by carrying out a long-memory analysis of European corporate bond markets. We compute the Hurst exponent for fifteen sectorial indices to scrutinise the time-
Recent news cast doubts on London Interbank Offered Rate (LIBOR) integrity. Given its economic importance and the delay with which authorities realize about this situation, we aim to find an objective method in order to detect departures in the LIBOR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8b3967dd2c5984805e27d1ddff18c7a
http://arxiv.org/abs/1501.04123
http://arxiv.org/abs/1501.04123
Autor:
Aurelio Fernandez-Bariviera
Publikováno v:
SSRN Electronic Journal.
Autor:
Patricia Jimbo Santana, Augusto Villa Monte, Enzo Rucci, Laura Cristina Lanzarini, Aurelio Fernández Bariviera
Publikováno v:
Journal of Computer Science and Technology, Vol 17, Iss 01, Pp 20-28 (2017)
Credit risk is defined as the probability of loss due to non-compliance by the borrower with the required payments in relation to any type of debt. When financial institutions select their customers correctly, they can reduce their credit risk. To ac
Externí odkaz:
https://doaj.org/article/f22f1b664c6743eb809dc26bc912e608