{"id":176909,"date":"2026-01-12T10:29:00","date_gmt":"2026-01-12T15:29:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/12\/machine-learning-improves-earnings-forecast-accuracy-by-7\/"},"modified":"2026-01-12T10:55:16","modified_gmt":"2026-01-12T15:55:16","slug":"machine-learning-improves-earnings-forecast-accuracy-by-7","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/01\/12\/machine-learning-improves-earnings-forecast-accuracy-by-7\/","title":{"rendered":"Machine learning improves earnings forecast accuracy by 7%"},"content":{"rendered":"<p><a href=\"https:\/\/www.cfo.com\/news\/ai-enabled-methodology-improves-earnings-forecast-accuracy-by-7-Oliver-Binz\/808889\/\">Machine learning improves earnings forecast accuracy by 7%<\/a><\/p>\n<p><a href=\"https:\/\/www.cfo.com\/news\/ai-enabled-methodology-improves-earnings-forecast-accuracy-by-7-Oliver-Binz\/808889\/\">https:\/\/www.cfo.com\/news\/ai-enabled-methodology-improves-earnings-forecast-accuracy-by-7-Oliver-Binz\/808889\/<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-01-12 10:29:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.cfo.com\">www.cfo.com<\/a><\/p>\n<ul>\n<li>\n<p><strong>Impact of Earnings Misses<\/strong>: Earnings forecasts that fall short of expectations can significantly harm a company&#8217;s stock price, and such negative impacts often persist for weeks or months. Companies that do not meet earnings expectations in 2025 experienced more severe stock declines compared to historical averages.<\/p>\n<\/li>\n<li>\n<p><strong>Role of Artificial Intelligence in Forecasting<\/strong>: Recent interest has been growing in using artificial intelligence (AI) or machine learning to improve the accuracy of earnings forecasts by better tracking the relationships between profitability drivers and actual results.<\/p>\n<\/li>\n<li>\n<p><strong>Improvement Over Traditional Methods<\/strong>: A new academic paper reveals a methodology blending machine learning with a structured accounting framework, which reduces mean absolute average forecast errors by around 7% compared to the traditional &#8220;random walk&#8221; method.<\/p>\n<\/li>\n<li>\n<p><strong>Insights from the Research<\/strong>: Co-author Oliver Binz explains that traditional models do not capture the non-linear interactions between variables and profitability, unlike the new AI\/machine learning model which dissects profitability into key components and uses gradient-boosting regression trees for forecasting.<\/p>\n<\/li>\n<li>\n<p><strong>Practical Implications for CFOs<\/strong>: This research suggests that AI not only allows financial expertise to scale effectively but also enhances the ability to navigate market volatility, manage investor expectations, and make more confident decisions.<\/p>\n<\/li>\n<li>\n<p><strong>Publication and Broader Message<\/strong>: The paper published by Binz and his co-authors in the Journal of Accounting and Economics emphasizes that AI does not replace financial expertise but enhances it, enabling better forecasting accuracy and greater explanatory power.<\/p>\n<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine learning improves earnings forecast accuracy by 7% https:\/\/www.cfo.com\/news\/ai-enabled-methodology-improves-earnings-forecast-accuracy-by-7-Oliver-Binz\/808889\/ Publish Date: 2026-01-12 10:29:00 Source Domain:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":176910,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/imgproxy.divecdn.com\/GwAgX8qVcGKD0S7wYmQrYBgSugtvXJtGzpfg7Vzq2UM\/g:ce\/rs:fit:770:435\/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9HZXR0eUltYWdlcy0yMTY0ODc1MTE3LmpwZw==.webp","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[20],"class_list":["post-176909","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/176909"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=176909"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/176909\/revisions"}],"predecessor-version":[{"id":176911,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/176909\/revisions\/176911"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/176910"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=176909"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=176909"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=176909"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}