In the paper a stochastic asset model can be used for long term financial planning and observations in insurance. The scenario model is developed for the case when the large number of scenarios is generated and represents the uncertainty of stochastic parameters. The paper presents the construction the multistage scenario tree using the clustering-based approach. It is implemented on sampled data of nominal interest rate according to accepted stochastic model.
CITATION STYLE
Kovacheva, T. (2017). Construction of multistage scenario tree for insurance activity. In Studies in Computational Intelligence (Vol. 681, pp. 87–101). Springer Verlag. https://doi.org/10.1007/978-3-319-49544-6_8
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