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This article examines the ability of recently developed statistical learning procedures, such as random forests or support vector machines, for forecasting the first two moments of stock market daily returns. These tools present the advantage of the flexibility of the considered nonlinear regression functions even in the presence of many potential predictors. We consider two cases: where the agent's...
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