ABSTRACT
ABSTRACT: The paper is concerned with measuring and assessment of risk reduction in managerial decision-making. In this paper, we consider the accuracy of forecasting models based on statistical (stochastic) methods and an intelligent methodology based on soft or granular computing. The proposed intelligent approach is applied to the high frequency time series of BUX indexes. We found that it is possible to achieve significant risk reduction in managerial decision-making by applying intelligent forecasting models based on information technologies. The statistical GARCH-class models can react to the good and bad news.
