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Using AI to analyze the impact of financial news

This will be presented in English.

Zhefu Shi (University of Missouri)
13:1013:50 Thursday, April 12, 2018
模型与方法 (Models and Methods), 英文讲话 (Presented in English)
Location: 紫金大厅B(Grand Hall B) Level: Intermediate
Secondary topics:  传媒、广告、娱乐 (Media, Advertising, Entertainment), 自然语言与语音技术(Natural Language and Speech Technologies), 金融服务 (Financial Services)

必要预备知识 (Prerequisite Knowledge)

基本理解机器学习、人工智能和金融市场。
A basic understanding of machine learning, artificial intelligence, and the finance market

您将学到什么 (What you'll learn)

理解如何使用AI来分析金融新闻
Understand how to use AI to analyze financial news

描述 (Description)

本讲话将用英语授课,同时会提供中文同声传译。中文版本摘要会在英文摘要下面给出。

It is critical to analyze the business impact of worldwide events on the financial market. Financial news covers the finance activities that changes the finance market, from investment banking, fund management, the securities industries, etc. Finance news is used not only in real-time systems, such as high-frequency trading, but also to project pricing trends and calculate market risk. Investment decisions (e.g., portfolio management) depend on the analysis of historical news.

Zhefu Shi explains how to use AI to analyze the impact of financial news using a financial data pipeline. Zhefu outlines how to extract financial entity information and use it to analyze business impact. All of the components use AI to enhance functionality.

分析全球范围内的事件对金融市场所产生的业务影响是非常关键的。金融市场是参与者交易金融证券、有价物品等价值的市场,同时这些东西也反应了市场里的供需关系。例如,证券可以包括股票和债券,有价物品可以包括稀有金属和农产品等。

金融行为包括交易或是为了推动经济目标的实现的行动。金融新闻包括了这些改变金融市场的金融行为。它报道了投资机构、基金管理和债券行业的变化。金融新闻不仅可以被用于实时系统,如高频交易到实时交易决策。历史新闻还可以被用于预测价格趋势和评估市场风险。诸如组合管理这样的投资决策也都依赖于对于历史新闻的分析。

AI技术对分析金融新闻的影响是有帮助的。在本演讲里,首先会讨论一个金融数据管道。接着的部分会讨论如何获取金融实体(Entity)。第三部分会分析业务影响。所有这些部分里都使用了AI来增强功能。

Photo of Zhefu Shi

Zhefu Shi

University of Missouri

Zhefu Shi is a researcher at the University of Missouri, where he works on mathematical modeling, artificial intelligence, machine learning, and cloud computing. Zhefu holds a PhD in computer science and a master’s degree in math and statistics.