{"id":904,"date":"2020-04-28T16:13:46","date_gmt":"2020-04-28T08:13:46","guid":{"rendered":"http:\/\/localhost:8888\/?p=904"},"modified":"2025-12-25T16:44:36","modified_gmt":"2025-12-25T08:44:36","slug":"modeling-property-prices-using-neural-network-model-for-hong-kong","status":"publish","type":"post","link":"https:\/\/www.gssinst.org\/irer\/2020\/04\/28\/modeling-property-prices-using-neural-network-model-for-hong-kong\/","title":{"rendered":"Modeling Property Prices Using Neural Network Model for Hong Kong"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"904\" class=\"elementor elementor-904\" data-elementor-settings=\"[]\">\n\t\t\t\t\t\t<div class=\"elementor-inner\">\n\t\t\t\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4e594059 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4e594059\" 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\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-13030c75\" data-id=\"13030c75\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-79b237d0 elementor-widget elementor-widget-text-editor\" data-id=\"79b237d0\" 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<div class=\"elementor-text-editor elementor-clearfix\"><div class=\"article_label\">Article<\/div><p class=\"article_title\">Modeling Property Prices Using Neural Network Model for Hong Kong<\/p><div><p class=\"title_label_large\">Author<\/p><p class=\"title_label_large\">Start Page \/ End Page<\/p><p class=\"title_label\">Volume<\/p><p class=\"title_label\">Issue Number<\/p><p class=\"title_label\">Year<\/p><p class=\"title_label_large\">Publication<\/p><\/div><div><p><!-- Author \/ StartEndPage \/ Volume \/ IssueNumber \/ Year \/ Publication --><\/p><p class=\"title_text_large\">Xin J. Ge, G. Runeson<\/p><p class=\"title_text_large\">121 \/ 138<\/p><p class=\"title_text\">7<\/p><p class=\"title_text\">1<\/p><p class=\"title_text\">2004<\/p><p class=\"title_text_large\">International Real Estate Review<\/p><\/div><div class=\"empty\">\u00a0<\/div><p class=\"abstract_label\">Abstract<\/p><p><!-- Abstract Content --><br \/>This paper develops a forecasting model of residential property prices for Hong Kong using an artificial neural network approach. Quarterly time-series data are applied for testing and the empirical results suggest that property price index, lagged one period, rental index, and the number of agreements for sales and purchases of units are the major determinants of the residential property price performance in Hong Kong. The results also suggest that the neural network methodology has the ability to learn, generalize, and converge time series.<\/p><p>\u00a0<\/p><p><!-- PDF DownloadLink --><\/p><p class=\"download\"><a href=\"http:\/\/www.gssinst.org\/irer\/wp-content\/uploads\/2020\/10\/vol-7-modeling-property-prices-using-neutral-network-model-for-hong-kong.pdf\"><strong>View PDF -https:\/\/doi.org\/10.53383\/100056<\/strong><\/a><\/p><div class=\"empty\">\u00a0<\/div><p><a class=\"backpage\">Back to Previous Page<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<div>\n<p class=\"title_label_large\">Author<\/p>\n<p class=\"title_label_large\">Start Page \/ End Page<\/p>\n<p class=\"title_label\">Volume<\/p>\n<p class=\"title_label\">Issue Number<\/p>\n<p class=\"title_label\">Year<\/p>\n<p class=\"title_label_large\">Publication<\/p>\n<\/div>\n<div>\n<!-- Author \/ StartEndPage \/ Volume \/ IssueNumber \/ Year \/ Publication --><\/p>\n<p class=\"title_text_large\">Xin J. Ge, G. Runeson<\/p>\n<p class=\"title_text_large\"> 121 \/ 138<\/p>\n<p class=\"title_text\">7<\/p>\n<p class=\"title_text\">1<\/p>\n<p class=\"title_text\">2004<\/p>\n<p class=\"title_text_large\">International Real Estate Review<\/p>\n<\/div>\n<p class=\"downloadLine\"><a href=\"https:\/\/www.um.edu.mo\/fba\/irer\/papers\/past\/Vol7_pdf\/121-138.pdf\">Download Entire Article.<img src=\"https:\/\/i.ibb.co\/m8rCXNQ\/download-pdf-large.png\" alt=\"download-pdf-large\" border=\"0\"> <\/a><\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"article-template.php","format":"standard","meta":[],"categories":[150,149],"tags":[],"_links":{"self":[{"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/posts\/904"}],"collection":[{"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/comments?post=904"}],"version-history":[{"count":3,"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/posts\/904\/revisions"}],"predecessor-version":[{"id":4844,"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/posts\/904\/revisions\/4844"}],"wp:attachment":[{"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/media?parent=904"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/categories?post=904"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.gssinst.org\/irer\/wp-json\/wp\/v2\/tags?post=904"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}