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Machine Learning Central Banking
October 27, 2017
Central Banking – Daniel Hinge: Teaching machines to do monetary policy The researchers identify around 10,000 unique words across every transcript produced during Alan Greenspan’s tenure as chair, which LDA is able to boil down into about 40 topics. Each FOMC meeting can then be represented as the percentage of time spent on each topic. In this way, the authors… Continue reading Machine Learning Central Banking