题目:Application of Big Data and Media Sentiment in Economic and Financial Analysis: Some Chinese Cases
报告人:夏乐,西班牙对外银行亚洲研究部亚洲首席经济学家
地点:经管院B249
报告摘要:
The Big Data technique has been increasingly applied to various areas associated with economic and financial analysis. Our BBVA research unit actively explores new methods to improve macroeconomic forecasting, political event assessment as well as clients' risk monitoring. With the help of a powerful database developed by Google, we are able to use the Big Data technique to systemically gauge media sentiment worldwide and use relevant results to answer important research questions of our interest. This lecture will show a number of Chinese cases in which the combination of Big Data and media sentiment helps to provide a unique respective for us to understand important economic trend and firm-specific financial risks.
报告人简介:
夏乐博士现任西班牙对外银行亚洲研究部亚洲首席经济学家,同时还兼任中国人民大学国际货币研究所特约研究员,腾讯金融科技智库外部专家,国际金融论坛学术委员。在加入西班牙对外银行之前,夏乐博士曾供职于中国银行(香港)司库部和风险管理部。夏乐博士对于经济学具有广泛的兴趣,主要关注的领域包括新兴市场国家的货币政策和银行体系。夏乐博士曾在《Economic Letters》、《Asia-Pacific Journal of Accounting & Economics》、《金融研究》等学术杂志发表多篇论文,他还为《Nikkei Asian Review》、《OMFIF Monthly Bulletin》、《人民日报》和《中国日报》等报纸杂志撰写评论文章。夏乐博士经常接受Bloomberg,CNBC,中国环球电视网,香港电台以及凤凰卫视等电视广播媒体的采访,他bwin必赢登录入口官网全球以及中国经济的观点被中英文媒体广泛引用。夏乐博士于香港大学取得哲学博士学位,此前于中国人民大学和对外经贸大学分别取得经济学硕士和学士学位。