{"id":5138,"date":"2025-02-18T16:01:48","date_gmt":"2025-02-18T16:01:48","guid":{"rendered":"https:\/\/quantil.co\/?post_type=blog&#038;p=5138"},"modified":"2025-02-24T15:43:47","modified_gmt":"2025-02-24T15:43:47","slug":"reinforcement-learning-para-optimizacion-de-portafolios","status":"publish","type":"blog","link":"https:\/\/quantil.co\/es\/blog\/reinforcement-learning-para-optimizacion-de-portafolios\/","title":{"rendered":"Reinforcement Learning para Optimizaci\u00f3n de Portafolios"},"excerpt":{"rendered":"<p>En el contexto de los mercados financieros, la optimizaci\u00f3n de portafolios consiste en identificar la combinaci\u00f3n \u00f3ptima de activos para maximizar la relaci\u00f3n retorno-riesgo. No obstante, esta toma de decisiones se realiza en un entorno de incertidumbre, ya que el comportamiento de los activos no es estacionario a lo largo del tiempo.<\/p>\n","protected":false},"featured_media":5139,"template":"","format":"standard","blog-categories":[28],"blog-tags":[84,83,19],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/quantil.co\/es\/wp-json\/wp\/v2\/blog\/5138"}],"collection":[{"href":"https:\/\/quantil.co\/es\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/quantil.co\/es\/wp-json\/wp\/v2\/types\/blog"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/quantil.co\/es\/wp-json\/wp\/v2\/media\/5139"}],"wp:attachment":[{"href":"https:\/\/quantil.co\/es\/wp-json\/wp\/v2\/media?parent=5138"}],"wp:term":[{"taxonomy":"blog-categories","embeddable":true,"href":"https:\/\/quantil.co\/es\/wp-json\/wp\/v2\/blog-categories?post=5138"},{"taxonomy":"blog-tags","embeddable":true,"href":"https:\/\/quantil.co\/es\/wp-json\/wp\/v2\/blog-tags?post=5138"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}