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We integrate a high-frequency monetary event study into a mixed-frequency macro-finance model and structural estimation …. The model and estimation allow for jumps at Fed announcements in investor beliefs, providing granular detail on why … financial market risk. However, the structural estimation also finds that much of the causal impact of monetary policy on …
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Using a random sample of 60% of our cross-sectional data on U.S. stocks from 1964 to 2012, we trained four machine learning algorithms to forecast debt paydown over a one-year horizon. An evaluation of these candidate models on half of the hold-out sample (20% of the original dataset) showed...
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Using a sample of 104 companies that conducted initial public offering (IPO) on the Warsaw Stock Exchange between 2006 and 2016, we investigated the relationship between the accuracy and bias of the earnings forecast disclosed in the IPO prospectus and the firm corporate governance attributes....
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