El poder presidencial en América Latina – Robust bayesian portfolio optimization -Foresight and AI methods
Nuestro Boletín de Investigación trae una profunda investigación sobre el presidencialismo latinoamericano, el sistema bayesiano para una cartera de inversiones compuesta y la conexión entre la prospectiva y los métodos de Inteligencia Artificial (IA) en una comunidad dentro de un entorno de inestabilidad social en Colombia.
Libro de investigación UEC:
Título: El poder presidencial en América Latina: un poder (i)limitado
Editores: Floralba Padrón Pardo y Humberto Sierra Porto
Editorial: Universidad Externado de Colombia
Los ocho capítulos que componen este libro ofrecen un amplio panorama sobre el estado del arte del presidencialismo en Latinoamérica. En particular, se presentan útiles aportes en cuanto a los temas de: I) reflexión sobre la acumulación de poder; II) restricciones al periodo y a las facultades presidenciales; III) incidencia presidencial sobre el poder público y la práctica democrática; IV) análisis históricos que permiten contextualizar las experiencias presidenciales actuales.
Artículo en revista internacional:
Título: Robust Bayesian portfolio optimization
Autores: Carlos Andres Zapata Quimbayo; et al.
Revista: International Review of Financial Analysis
Editorial: Elsevier
We propose a robust Bayesian model using the normal-inverse-Wishart and Gamma distributions for an investment portfolio consisting of the stocks of the United States Dow Jones Industrial Index. To this end, the Bayesian approach and the robust portfolio model are integrated to determine the uncertainty of the estimated parameters in expected returns and covariances using ellipsoidal or quadratic type uncertainty sets. The results show that the proposed method exhibits better performance and diversification than the traditional mean-variance model as well as the robust portfolios.
Exploring the link between foresight and artificial intelligence methods to strengthen collective future-building in contexts of social instability
Autor: Raul Trujillo Cabezas
Revista: Foresight
Editorial: Emerald Publishing
The study explores the connection between foresight and Artificial Intelligence (AI) methods in a community within an environment of social instability in Colombia. It aims to contribute to research on aligning these methods for future-shaping, with the goal of enhancing shared governance, peer learning and collective learning among traditional decision-makers and local communities in emerging countries. The study seeks to foster a community of social actors who are likely to engage constructively in strategic dialogues. To enhancing shared governance and learning a hybrid model is synthesized, combining foresight and computational intelligence.
