Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/221619
Title: Global patterns and extreme events in sovereign risk premia: A fuzzy vs deep learning comparative
Author: Alaminos Aguilera, David
Salas Compas, M. Belén
Fernández-Gámez, Manuel A.
Keywords: Lògica difusa
Risc (Assegurances)
Primes (Assegurances)
Fuzzy logic
Risk (Insurance)
Insurance premiums
Issue Date: 17-Apr-2024
Publisher: Vilnius Gediminas Technical University
Abstract: Investment in foreign countries has become more common nowadays and this implies that there may be risks inherent to these investments, being the sovereign risk premium the measure of such risk. Many studies have examined the behaviour of the sovereign risk premium, nevertheless, there are limitations to the current models and the literature calls for further investigation of the issue as behavioural factors are necessary to analyse the investor’s risk perception.
Note: Reproducció del document publicat a: https://doi.org/10.3846/tede.2024.20488
It is part of: Technological and Economic Development of Economy, 2024, vol. 30, num.3, p. 753-782
URI: https://hdl.handle.net/2445/221619
Related resource: https://doi.org/10.3846/tede.2024.20488
ISSN: 2029-4913
Appears in Collections:Articles publicats en revistes (Empresa)

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