Risk analysis of stocks markets by a merged unsupervised model, time evolution comparison, and optimization.

The objective of this comparative study was to determine which algorithm of the self-organizing maps (SOM) type is best suited when grouping companies from the SPLatinAmerica40 financial index. This work sought a point of convergence between artificial intelligence (AI) and economy because AI has on...

• Autore principale: Pilliza Chicaiza, Gissela Estefania (author)
• Natura: bachelorThesis
• Lingua: eng
• Pubblicazione: 2020
• Soggetti: Self Organized Maps; Stock Market; Stock Index; S&P Latin America 40; IBEX35; NYSE; NASDAQ; Investment risk; Mapas Auto Organizados; Bolsas de valores; Índices financieros; Riesgo; Inversión
• Accesso online: http://repositorio.yachaytech.edu.ec/handle/123456789/273