Economic researches using statistical modelling methods have numerous challenges and opportunities in the waiting for the twenty-first century, calling for increasing numbers of non-traditional statistical approaches. Statistical modelling is one of the most widespread methods of research of economic systems. The selection of methods of modelling of the economic systems depends on a great number of conditions (modelling components) of the system being researched. The method of statistical modelling allows developing different scenarios of functioning of the investigated economic systems. Statistical modelling may be used for tackling a wide range of economic problems (design and analysis of industrial systems, stock management, balancing of production capacities, allocation of investment funds, optimization of investment funds, optimization of insurance system etc.). Modelling is frequently associated with the factor of uncertainty (or risk), who’s description goes outside the confines of the traditional statistical modelling, which, in its turn, complicates the modelling process