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| Machine Learning Seminar Series | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Date: | April 27, 2007 |
| Time: | 3:00 PM - 4:00 PM |
| Location: | 3305 Newell-Simon Hall |
| Speaker: | Chris Murray MS Candidate |
| Title: | Feature and Expert-based Market Prediction using Online Low-regret Algorithms |
| Abstract: | For decades, people have expended untold amount of effort trying to predict the stock market. We frame market prediction an experts problem, in the online learning sense, and show that simple strategies have optimal regret properties. We also show how to take advantage of recent empirical results in finance by creating feature portfolios, and how these can be used to achieve dramatic returns within the low-regret framework. |