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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