Abstract
The present paper deals with a problem of stock selection in market network as a multiple decision problem. The quality of the multiple decision procedure is measured by conditional risk (mean of the loss function). Optimal in this sense multiple decision statistical procedure for stock selection is constructed. Conditional risk behavior is studied for different number of observations and different significance levels. The obtained results can be applied to stock selection by various criteria: returns, volumes, risks.
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