POW! Bayes addresses a number of problems well-known to fund managers, but often neglected by financial theory.
Imagine your task is to allocate assets to a range of individual equity markets - France, Germany, Italy and so on, around the world - BUT
POW! Bayes solves these problems by means of a generalised and improved version of the procedure popularised by Black and Litterman. It combines managers' views with historic or other information in a statistically rigorous manner, in proportion to the degree of certainty with which they are held. Reverse Optimisation is included and can be used as a means of establishing a neutral view, or as an alternative to conventional optimisation.
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