We consider the basic problem of refi tting a time series over a finite period of time and formulate it as a stochastic dynamic program. By changing the underlying Markov decision process we are able to obtain a model that at optimality considers historical data as well as forecasts of future...

In this paper we analyze possible source of tax evasion in the multinational entity (hereinafter "MNE"). We show that the tax obligation of the whole MNE depends on the ownership structure of companies, which form MNE and that the structure could be described by matrix form. Therefore the basic...

The paper proposes and approves new criteria for proximity of statistical and computational economic indexes, their convolution, which are used in indirect estimation of parameters of economic models. Parallel algorithms of global optimization to identify the parameters of these models are...

Pena's method of construction of a synthetic indicator is very sensitive to the order in which the constituent variables (whose linear aggregation yields the synthetic indicator) are arranged. Due to this, Pena's method can at present give only an arbitrary synthetic indicator whose...

We use a behavioural microsimulation model embedded in a numerical optimization procedure in order to identify optimal (social welfare maximizing) tax-transfer rules. We consider the class of tax-transfer rules consisting of a universal basic income and a tax defined by a 4th degree polynomial....

The methodological discussion on the calibration of aggregate marketing response models has shifted away from how to obtain usable input for optimization to how to avoid biases in statistical estimation. The goal of this article is to remind researchers that such calibration is performed either...

A financial model is a model designed to represent in mathematical terms the relationships among the variables of a financial problem so that it can be used to make projections and/or answer ‘what if' questions. In particular, financial modeling can be combined with optimization modeling to...