Bayesian online learning for online portfolio selection
<p>We propose a novel family of Bayesian learning algorithms for online portfolio selection that overcome many of the shortcomings of traditional techniques, including selection bias (the failure to cover a broad universe of assets), data-snooping bias (the risk that a trading strategy's...
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| Format: | Thesis |
| Language: | English |
| Published: |
2020
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