Computer Modeling and Simulation, International Conference on (2009)
Mar. 25, 2009 to Mar. 27, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/UKSIM.2009.44
In the twenty-first century economic researches using statistical modelling methods have numerous challenges and opportunities, 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 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 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), the description of which is not possible with traditional statistical modelling methods. This makes the modelling process more complicated.
Economic systems, statistical modelling, copula method, insurance, risk management
Vladimirs Jansons, Vitalijs Jurenoks, Konstantins Didenko, "Investigation of Economic Systems Using Modelling Method with Copula", Computer Modeling and Simulation, International Conference on, vol. 00, no. , pp. 311-316, 2009, doi:10.1109/UKSIM.2009.44