{"id":11667,"date":"2024-05-30T08:42:55","date_gmt":"2024-05-30T00:42:55","guid":{"rendered":"https:\/\/www.1ai.net\/?p=11667"},"modified":"2024-05-30T08:42:55","modified_gmt":"2024-05-30T00:42:55","slug":"%e7%a0%94%e7%a9%b6%e5%8f%91%e7%8e%b0%ef%bc%9aopenai-%e7%9a%84-gpt-4-%e5%9c%a8%e9%87%91%e8%9e%8d%e5%88%86%e6%9e%90%e9%a2%86%e5%9f%9f%e5%85%b7%e6%9c%89-%e7%9b%b8%e5%af%b9%e4%bc%98%e5%8a%bf","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/11667.html","title":{"rendered":"Study finds: OpenAI's GPT-4 has a "comparative advantage" in financial analysis"},"content":{"rendered":"

According to a study by the University of Chicago Booth School of Business,OpenAI<\/a> of GPT-4<\/a>existfinance<\/a>The study, published last week, found that GPT-4, a large language model, performed well in analyzing financial statements and predicting future earnings. "Even without any narrative or industry-specific information, the language model outperformed financial analysts in predicting changes in earnings," the study said. "The language model showed relative strength in situations where financial analysts often struggle."<\/p>\n

\"202304251756343929_11\"<\/p>\n

Source: The image is generated by AI, and the image is authorized by Midjourney<\/p>\n

According to the study, the model was able to predict future earnings more accurately than human analysts by identifying financial statement trends and calculating various financial ratios through \u201cthought chaining\u201d prompts. \u201cWhen we used thought chaining prompts to simulate human reasoning, we found that GPT achieved an accuracy of 60%, which is much higher than the accuracy of analysts.\u201d The study said that the prediction accuracy of human analysts was closer to the low 50% range.<\/p>\n

The study also found that trading strategies based on GPT-4's predictions are more profitable than the stock market, with higher share ratios and alphas. "We found that long-short strategies based on GPT predictions outperform the market and generate significant alphas and Sharpe ratios."<\/p>\n

The study\u2019s findings could have important implications for the financial services industry, which is increasingly adopting generative AI techniques. The development comes as OpenAI released a new version of GPT-4o, which is a machine learning algorithm that can generate and predict data.up to date<\/span>After version 1, GPT-4o is the successor of its ChatGPT bot.up to date<\/span>version that can reason across audio, vision, and text.<\/p>\n

Meanwhile, GPT-4 was released in March 2023. At the time of its release, OpenAI described GPT-4 as a large multi-model model (accepting image and text inputs and generating text outputs) that, while not as good as humans in many real-world scenarios, showed human-level performance on a variety of professional and academic benchmarks.<\/p>\n

OpenAI's ChatGPT model was introduced to the public in November 2022. In January of the following year, ChatGPT reached 100 million registered users, achieving this milestone just 64 days after its launch.<\/p>","protected":false},"excerpt":{"rendered":"

OpenAI's GPT-4 outperforms human analysts in financial analysis and forecasting, even without industry-specific information, according to a study from the University of Chicago Booth School of Business. The study, published last week, found that GPT-4, a large language model, excelled in analyzing financial statements and predicting future earnings. The language model outperformed financial analysts in predicting changes in earnings, even without any narrative or industry-specific information,\" the study said. The language model shows a relative advantage in situations that financial analysts often struggle with.\" Image source notes:Image generated by AI, image license provider Midjourney According to the study, the model was able to identify financial statement trends and calculate various financial ratios through \"chain of thought\" prompts, thus outperforming human analysis.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[510,190,542],"collection":[],"class_list":["post-11667","post","type-post","status-publish","format-standard","hentry","category-news","tag-gpt-4","tag-openai","tag-542"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11667","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=11667"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/11667\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=11667"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=11667"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=11667"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=11667"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}