Shuxin Yang, CFA, is a PhD candidate at Waseda University, where she conducts equity research covering such topics as tick-size reduction, efficiency, and equity term-structure. She has also worked as a data scientist at Indeed. Yang is a graduate of the Bayes Business School, formerly Cass Business School.
What do machine learning and natural language processing reveal about Federal Open Market Committee statements?
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