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We propose a Bayesian optimal filtering setup for improving out-of-sample forecasting performance when using volatile …
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We define a dynamic and self-adjusting mixture of Gaussian Graphical Models to cluster financial returns, and provide a new method for extraction of nonparametric estimates of dynamic alphas (excess return) and betas (to a choice set of explanatory factors) in a multivariate setting. This...
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