{"id":4145,"date":"2026-01-29T19:22:36","date_gmt":"2026-01-29T19:22:36","guid":{"rendered":"https:\/\/ricovictor.com\/?page_id=4145"},"modified":"2026-01-29T21:28:24","modified_gmt":"2026-01-29T21:28:24","slug":"econometria-de-series-de-tiempo","status":"publish","type":"page","link":"https:\/\/ricovictor.com\/index.php\/econometria-de-series-de-tiempo\/","title":{"rendered":"Econometr\u00eda de Series de Tiempo"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"4145\" class=\"elementor elementor-4145\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-64259c9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"64259c9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d630832\" data-id=\"d630832\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-04b41d4 elementor-widget elementor-widget-spacer\" data-id=\"04b41d4\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2a772e2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2a772e2\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3747809\" data-id=\"3747809\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-51d98ba elementor-widget elementor-widget-text-editor\" data-id=\"51d98ba\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2>\ud83e\udde0 1\ufe0f\u20e3 Introducci\u00f3n general<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3cbfa28 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3cbfa28\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-c6ad15a\" data-id=\"c6ad15a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b699434 elementor-widget elementor-widget-text-editor\" data-id=\"b699434\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h5>\u00a0<\/h5><h5>Las series temporales permiten analizar c\u00f3mo evoluciona una variable a lo largo del tiempo. Son fundamentales en econometr\u00eda y finanzas, ya que muchas decisiones dependen de patrones hist\u00f3ricos y previsiones.<\/h5><h5>En esta p\u00e1gina encontrar\u00e1s una gu\u00eda de contenido \u00fatil sobre series temporales, donde se introducen los conceptos clave de forma ordenada: desde el an\u00e1lisis descriptivo (tendencia y estacionalidad), hasta los modelos cl\u00e1sicos utilizados en la pr\u00e1ctica, como AR, ARIMA y SARIMA, siempre acompa\u00f1ados de ejemplos en R.<\/h5>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-767bdce\" data-id=\"767bdce\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-242d900 elementor-widget elementor-widget-image\" data-id=\"242d900\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"987\" height=\"546\" src=\"https:\/\/ricovictor.com\/wp-content\/uploads\/2026\/01\/Captura-de-pantalla-2026-01-29-161651.png\" class=\"attachment-large size-large wp-image-4147\" alt=\"\" srcset=\"https:\/\/ricovictor.com\/wp-content\/uploads\/2026\/01\/Captura-de-pantalla-2026-01-29-161651.png 987w, https:\/\/ricovictor.com\/wp-content\/uploads\/2026\/01\/Captura-de-pantalla-2026-01-29-161651-300x166.png 300w, https:\/\/ricovictor.com\/wp-content\/uploads\/2026\/01\/Captura-de-pantalla-2026-01-29-161651-768x425.png 768w\" sizes=\"(max-width: 987px) 100vw, 987px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2316c14 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2316c14\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cb2d5f1\" data-id=\"cb2d5f1\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-526b60d elementor-widget elementor-widget-text-editor\" data-id=\"526b60d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2>\ud83d\udd39 2\ufe0f\u20e3 Fundamentos de las series temporales<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-919ba7d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"919ba7d\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e7ddc9a\" data-id=\"e7ddc9a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-832179e elementor-widget elementor-widget-text-editor\" data-id=\"832179e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3>1.An\u00e1lisis de la tendencia en series temporales | Econometr\u00eda<\/h3>\n<h5>En este tutorial se analiza c\u00f3mo identificar y estudiar la <strong data-start=\"506\" data-end=\"540\">tendencia en series temporales<\/strong>, con ejemplos pr\u00e1cticos que permiten comprender c\u00f3mo evoluciona una variable a lo largo del tiempo<\/h5>\n<p>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1174f1a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1174f1a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0264389\" data-id=\"0264389\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ed6340c elementor-widget elementor-widget-video\" data-id=\"ed6340c\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/td6Yn3f--IQ&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6a24ff6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6a24ff6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1bc4b25\" data-id=\"1bc4b25\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-afb2611 elementor-widget elementor-widget-spacer\" data-id=\"afb2611\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f656eaa elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f656eaa\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-62f44a9\" data-id=\"62f44a9\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2920637 elementor-widget elementor-widget-text-editor\" data-id=\"2920637\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3>2.An\u00e1lisis de la estacionalidad en series temporales<\/h3><h5>En este v\u00eddeo se explica c\u00f3mo detectar y analizar la <strong data-start=\"791\" data-end=\"830\">estacionalidad en series temporales<\/strong>, mostrando patrones recurrentes a lo largo del tiempo y su relevancia en econometr\u00eda<\/h5><h6>\ud83d\udc49Ver v\u00eddeo :<a href=\"https:\/\/youtu.be\/miOZzjArgFc\"> An\u00e1lisis de la estacionalidad en series temporales | Econometr\u00eda<\/a><\/h6>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-23e3154 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"23e3154\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-63715c8\" data-id=\"63715c8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d7ee410 elementor-widget elementor-widget-text-editor\" data-id=\"d7ee410\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3>3.RUIDO BLANCO en Econometr\u00eda | Qu\u00e9 es y C\u00f3mo Detectarlo<\/h3><h5>Aqu\u00ed se analiza el concepto de <strong data-start=\"1044\" data-end=\"1060\">ruido blanco<\/strong>, su importancia en los modelos de series temporales y c\u00f3mo detectarlo mediante ejemplos pr\u00e1cticos en R<\/h5><h6>\ud83d\udc49Ver v\u00eddeo :<a href=\"https:\/\/youtu.be\/PJswUDgv5a8\"> Ruido Blanco en Econometr\u00eda<\/a><\/h6><h6>\ud83d\udccc<a href=\"http:\/\/\ud83d\udcccC\u00d3DIGO EN R DEL VIDEO AQU\u00cd \ud83d\udc47\ud83c\udffc https:\/\/ricovictor.com\/index.php\/2023\/06\/21\/que-es-el-ruido-blanco-econometria-en-r\/\" data-wplink-url-error=\"true\">C\u00d3DIGO EN R DEL VIDEO(Pincha aqu\u00ed)<\/a><\/h6>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9e921c7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9e921c7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-223425d\" data-id=\"223425d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2778d6f elementor-widget elementor-widget-text-editor\" data-id=\"2778d6f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3>4.Random Walk (Paseo Aleatorio) | Explicaci\u00f3n y Simulaci\u00f3n en R<\/h3><h5>En este v\u00eddeo se estudia el <strong data-start=\"1287\" data-end=\"1330\">modelo de paseo aleatorio (Random Walk)<\/strong>, explicando sus caracter\u00edsticas, implicaciones para predicciones y c\u00f3mo simularlo en R<\/h5><h6>\ud83d\udc49Ver v\u00eddeo :<a href=\"https:\/\/youtu.be\/lEPGTFy1OJA\"> Random Walk (Paseo Aleatorio) | Explicaci\u00f3n y Simulaci\u00f3n en R<\/a><\/h6><h6>\u00a0<\/h6>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4ef1783 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4ef1783\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e3daf07\" data-id=\"e3daf07\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5329a7e elementor-widget elementor-widget-text-editor\" data-id=\"5329a7e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2>\ud83d\udd39 3\ufe0f\u20e3 Preparaci\u00f3n y supuestos<\/h2><div>\u00a0<\/div><h3>5.Estacionariedad en Series Temporales | Definici\u00f3n y Test en R<\/h3><h5>La estacionariedad es un concepto clave en el an\u00e1lisis de series temporales y modelos econom\u00e9tricos. De hecho muchos modelos de series de tiempo necesitan que se cumpla ese supuesto para poder usarse. Este v\u00eddeo explica c\u00f3mo detectar la estacionariedad con test estad\u00edsticos.<\/h5><h6>\ud83d\udc49Ver v\u00eddeo :\u00a0<a href=\"https:\/\/youtu.be\/zegw5b1TvCs\">Estacionariedad en Series Temporales | Definici\u00f3n y Test en R<\/a><\/h6><h5>\u00a0<\/h5>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5fce597 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5fce597\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-10e97f4\" data-id=\"10e97f4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ad8e904 elementor-widget elementor-widget-text-editor\" data-id=\"ad8e904\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2>\ud83d\udd39 4\ufe0f\u20e3 Modelos univariantes<\/h2><h3>6.Modelos Autorregresivos (AR) | Qu\u00e9 son y c\u00f3mo usarlos en R<\/h3><h5>En este v\u00eddeo se introduce el <strong data-start=\"1818\" data-end=\"1848\">modelo autorregresivo (AR)<\/strong>, explicando c\u00f3mo funciona, su definici\u00f3n matem\u00e1tica y c\u00f3mo aplicarlo para modelar series temporales en R.<\/h5><h6>\u25b6\ufe0fVer tutorial en Youtube: <a href=\"https:\/\/youtu.be\/Lf3qSLZ-WAA?si=5G4A61XqJyAGuvlg\">Modelos Autoregresivos(AR)| Qu\u00e9 son y c\u00f3mo usarlos en R<\/a><\/h6><p>\ud83d\udccc<a href=\"https:\/\/ricovictor.com\/index.php\/2021\/08\/13\/que-son-los-modelos-autorregresivos\/\">C\u00f3digo R del tutorial en este post(Pincha aqu\u00ed)<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ce7d9fa elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ce7d9fa\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9634018\" data-id=\"9634018\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9b8bb77 elementor-widget elementor-widget-text-editor\" data-id=\"9b8bb77\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3>7.Predicci\u00f3n con modelos autorregresivos(AR) en R |Ejemplo pr\u00e1ctico<\/h3><h5>En este v\u00eddeo se muestra c\u00f3mo realizar <strong data-start=\"2083\" data-end=\"2130\">predicciones usando modelos autorregresivos<\/strong>, aplicando la teor\u00eda en ejemplos pr\u00e1cticos en R<\/h5><h6>\u25b6\ufe0fVer tutorial en Youtube: <a href=\"https:\/\/www.youtube.com\/watch?v=ih__gkbiNR4&amp;list=PL2YDFFqqa6jcPodAr6VpyT5oMbbJQ8jkE&amp;index=7\">Predicci\u00f3n con modelos autorregresivos(AR)<\/a><\/h6><p>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7a5246b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7a5246b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7c5a1e4\" data-id=\"7c5a1e4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-541de88 elementor-widget elementor-widget-text-editor\" data-id=\"541de88\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3>8.Entendiendo el Modelo ARIMA | Parte 1 y 2<\/h3><p>\u00a0<\/p><h5>En estos dos tutoriales explico el modelo ARIMA paso a paso, qu\u00e9 significan sus componentes y c\u00f3mo se utiliza para modelar y predecir series temporales. Analizamos c\u00f3mo se interpretan los resultados del modelo y su relaci\u00f3n con la formulaci\u00f3n te\u00f3rica, apoy\u00e1ndonos en ejemplos pr\u00e1cticos con RStudio<\/h5><p>\u00a0<\/p><h6>\u25b6\ufe0fVer v\u00eddeo 1 : <a href=\"https:\/\/youtu.be\/UYDcSzoJdhU\">Entendiendo el Modelo ARIMA | Parte 1: Teor\u00eda e interpretaci\u00f3n del modelo en R<\/a><\/h6><h6>\u25b6\ufe0fVer v\u00eddeo 2 : <a href=\"https:\/\/youtu.be\/LOQ3G12wCIM\">Entendiendo el Modelo ARIMA | Parte 2: Interpretaci\u00f3n y ejemplo en R<\/a><\/h6><h6>\u00a0<\/h6><p>\ud83d\udccc <a href=\"https:\/\/ricovictor.com\/index.php\/2022\/07\/02\/entiendo-el-modelo-arima-parte-2\/\">C\u00f3digo en R completo en este post (Pincha aqu\u00ed)<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2d6a409 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2d6a409\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-37dd6b7\" data-id=\"37dd6b7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6f67002 elementor-widget elementor-widget-text-editor\" data-id=\"6f67002\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3>9. SARIMA (ARIMA Estacional) en R | Qu\u00e9 son y c\u00f3mo usarlos para pron\u00f3sticos<\/h3><p>\u00a0<\/p><h5>En el siguiente video se explica qu\u00e9 son los modelos SARIMA, sus diferencias con los ARIMA y c\u00f3mo\u00a0<span style=\"font-size: 1.25rem; font-style: inherit;\">usarlos para realizar pron\u00f3sticos<\/span><\/h5><p>\u00a0<\/p><h6>\u25b6\ufe0fVer v\u00eddeo en Youtube : <a href=\"https:\/\/youtu.be\/GBy8TJF9vLU\">SARIMA (ARIMA Estacional) en R | Qu\u00e9 son y c\u00f3mo usarlos para pron\u00f3sticos<\/a><\/h6><p>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e630049 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e630049\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b1b00d5\" data-id=\"b1b00d5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-70cd2d1 elementor-widget elementor-widget-text-editor\" data-id=\"70cd2d1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h2 data-start=\"3578\" data-end=\"3600\">\ud83d\udd1c Contenido futuro<\/h2><h5 data-start=\"3602\" data-end=\"3647\">Esta secci\u00f3n se ir\u00e1 ampliando con temas como:<\/h5><ul data-start=\"3648\" data-end=\"3753\"><li data-start=\"3648\" data-end=\"3681\"><h5 data-start=\"3650\" data-end=\"3681\">Modelos <strong data-start=\"3658\" data-end=\"3667\">GARCH<\/strong> y volatilidad<\/h5><\/li><li data-start=\"3682\" data-end=\"3722\"><h5 data-start=\"3684\" data-end=\"3722\">Cointegraci\u00f3n y modelos multivariantes<\/h5><\/li><li data-start=\"3723\" data-end=\"3753\"><h5 data-start=\"3725\" data-end=\"3753\">Series financieras avanzadas<\/h5><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\ud83e\udde0 1\ufe0f\u20e3 Introducci\u00f3n general \u00a0 Las series temporales permiten analizar c\u00f3mo evoluciona una variable a lo largo del tiempo. Son fundamentales en econometr\u00eda y finanzas, ya que muchas decisiones dependen de patrones hist\u00f3ricos y previsiones. En esta p\u00e1gina encontrar\u00e1s una gu\u00eda de contenido \u00fatil sobre series temporales, donde se introducen los conceptos clave de forma &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/ricovictor.com\/index.php\/econometria-de-series-de-tiempo\/\"> <span class=\"screen-reader-text\">Econometr\u00eda de Series de Tiempo<\/span> Leer m\u00e1s &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Econometr\u00eda de Series de Tiempo - V\u00edctor A. Rico \u2014 Econometr\u00eda y Finanzas Cuantitativas<\/title>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Econometr\u00eda de Series de Tiempo - V\u00edctor A. Rico \u2014 Econometr\u00eda y Finanzas Cuantitativas\" \/>\n<meta property=\"og:description\" content=\"\ud83e\udde0 1\ufe0f\u20e3 Introducci\u00f3n general \u00a0 Las series temporales permiten analizar c\u00f3mo evoluciona una variable a lo largo del tiempo. Son fundamentales en econometr\u00eda y finanzas, ya que muchas decisiones dependen de patrones hist\u00f3ricos y previsiones. 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