We apply state-of-the-art Bayesian machine learning to test whether we can extract valuable information from analysts' recommendations of stock performance. We use a probabilistic model for independent Bayesian classifier combination that has been successfully applied in both the physical and...

We analyse and contrast the performance of discretionary and systematic hedge funds. Systematic funds use strategies that are rules-based, with little or no daily intervention by humans. In our experience, some large allocators shy away from systematic hedge funds altogether. A possible...