{"id":2362,"date":"2013-09-20T17:04:14","date_gmt":"2013-09-20T17:04:14","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2362"},"modified":"2013-09-20T17:05:38","modified_gmt":"2013-09-20T17:05:38","slug":"sec-taps-analytics-to-predict-risk","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/sec-taps-analytics-to-predict-risk\/2362\/","title":{"rendered":"SEC taps analytics to predict risk"},"content":{"rendered":"The Securities and Exchange Commission is using predictive analytics to evaluate risks facing the brokerage industry regulated by the agency and, potentially, to pinpoint firms headed for trouble. Beginning this financial quarter, the SEC&#8217;s newly created Division of Economic and Risk Analysis (DERA) is applying a risk assessment model that processes real-time data, financial statements and other information to give investigators a heads up on those tilting toward default. Giulio Girardi, an economist at DERA&#8217;s Office of Quantitative Research, explained the parameters of the program at the Predictive Analytics World Government conference in Washington, D.C., on Sept. 18. <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/sec-taps-analytics-to-predict-risk\/2362\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The Securities and Exchange Commission is using predictive analytics to evaluate risks facing the brokerage industry regulated by the agency and, potentially, to pinpoint firms headed for trouble. Beginning this financial quarter, the SEC&#8217;s newly created Division of Economic and Risk Analysis (DERA) is applying a risk assessment model that processes real-time data, financial statements [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":2365,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[143,144,8,7],"class_list":["post-2362","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news","category-left-hand","tag-dean-silverman","tag-internal-revenue-service","tag-predictive-analytics","tag-predictive-analytics-world"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=2362"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2362\/revisions"}],"predecessor-version":[{"id":2364,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2362\/revisions\/2364"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media\/2365"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2362"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2362"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}