{"id":5175,"date":"2013-02-27T23:27:26","date_gmt":"2013-02-27T22:27:26","guid":{"rendered":"http:\/\/www.w-t-w.org\/en\/?p=5175"},"modified":"2013-02-28T10:10:34","modified_gmt":"2013-02-28T09:10:34","slug":"statistics-can-find-financial-criminals","status":"publish","type":"post","link":"https:\/\/www.w-t-w.org\/en\/statistics-can-find-financial-criminals\/","title":{"rendered":"Statistics Can Find Financial Criminals"},"content":{"rendered":"<p>FInance guru Rosa M. Abrantes-Metz shows how statistical technqiues quickly point to financial irregularities. \u00a0Libor is a case in point. In early 2008, the Wall Street Journal published a studyshowing that the borrowing-cost estimates banks submitted for the calculation of the benchmark interest rate were bunched much too close together and bore little relation to the banks\u2019 riskiness as reflected in the market for default insurance. Together with co-authors Albert Metz, Michael Kraten and Gim Seow, Abrantes-Metz extended\u00a0the analysis to show that nonrandom patterns in the banks\u2019 reported borrowing costs started years earlier than the period examined by the Journal and also likely involved coordinated behavior among banks. The studies pointed to the widespread misbehavior that, four years later, is proving to be one of the biggest and most costly financial scandals in history. \u00a0<a href=\"http:\/\/www.w-t-w.org\/en\/statistics-can-find-financial-criminals\/libor\/\" rel=\"attachment wp-att-5176\">Article<\/a><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-medium wp-image-5176\" alt=\"libor\" src=\"http:\/\/www.w-t-w.org\/en\/wp-content\/uploads\/2013\/02\/libor-224x300.jpg\" width=\"224\" height=\"300\" srcset=\"https:\/\/www.w-t-w.org\/en\/wp-content\/uploads\/2013\/02\/libor-224x300.jpg 224w, https:\/\/www.w-t-w.org\/en\/wp-content\/uploads\/2013\/02\/libor.jpg 278w\" sizes=\"auto, (max-width: 224px) 100vw, 224px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>FInance guru Rosa M. Abrantes-Metz shows how statistical technqiues quickly point to financial irregularities. \u00a0Libor is a case in point. In early 2008, the Wall Street Journal published a studyshowing that the borrowing-cost estimates banks submitted for the calculation of &hellip; <a href=\"https:\/\/www.w-t-w.org\/en\/statistics-can-find-financial-criminals\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[22],"tags":[],"class_list":["post-5175","post","type-post","status-publish","format-standard","hentry","category-corruption"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"FInance guru Rosa M. Abrantes-Metz shows how statistical technqiues quickly point to financial irregularities. Libor is a case in point. In early 2008, the Wall Street Journal published a studyshowing that the borrowing-cost estimates banks submitted for the calculation of the benchmark interest rate were bunched much too close together and bore little relation to\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Susan_Hall\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/www.w-t-w.org\/en\/statistics-can-find-financial-criminals\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.10\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_US\" \/>\n\t\t<meta property=\"og:site_name\" content=\"W-T-W.org - Women and Finance\" \/>\n\t\t<meta property=\"og:type\" content=\"article\" \/>\n\t\t<meta property=\"og:title\" content=\"Statistics Can Find Financial Criminals - W-T-W.org\" \/>\n\t\t<meta property=\"og:description\" content=\"FInance guru Rosa M. Abrantes-Metz shows how statistical technqiues quickly point to financial irregularities. Libor is a case in point. In early 2008, the Wall Street Journal published a studyshowing that the borrowing-cost estimates banks submitted for the calculation of the benchmark interest rate were bunched much too close together and bore little relation to\" \/>\n\t\t<meta property=\"og:url\" content=\"https:\/\/www.w-t-w.org\/en\/statistics-can-find-financial-criminals\/\" \/>\n\t\t<meta property=\"article:published_time\" content=\"2013-02-27T22:27:26+00:00\" \/>\n\t\t<meta property=\"article:modified_time\" content=\"2013-02-28T09:10:34+00:00\" \/>\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n\t\t<meta name=\"twitter:title\" content=\"Statistics Can Find Financial Criminals - W-T-W.org\" \/>\n\t\t<meta name=\"twitter:description\" content=\"FInance guru Rosa M. Abrantes-Metz shows how statistical technqiues quickly point to financial irregularities. Libor is a case in point. 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