The purpose of this research is to fill the gaps in the literature by providing a comprehensive study on how to utilize and improve the performance of the receding horizontal control and stochastic programming (RHCSP) method pertaining to the oil and currency markets

This study develops a novel agent-based model of the interbank market with endogenous credit risk formation mechanisms. We allow banks to exchange funds through unsecured and secured transactions in order to facilitate the flow of funds to the most pro table investment projects. Our model...

To avoid exploding government debt, numerical macro models require "fiscal reaction rules". Present rules impose arbitrary, backward-looking reaction of taxes to deviations of the debt ratio from a target. Arbitrary models may be poor guides to monetary policy. A constant future tax rate is...

This paper analyzes the implications of different designs of policies, which aim to contain the diffusion of the SARS-CoV-2 virus, with respect to induced economic loss and virus mortality. An agent-based simulation model is implemented and calibrated with German data, which combines the...

In this paper, we present a first modelization of Allen's argument on the British Industrial Revolution with a History-Friendly Model heuristic. To do so, we use a macroeconomic micro-founded framework with heterogeneous agents – households, firms, and institutions – interacting through a...

The subject of the work is a study of the patterns and prerequisites for the formation of regional innovation systems along with the analysis and synthesis of a significant array of information on elements of interaction at the regional level on the basis of economic and mathematical modelling....

The subject of this study is to create technologies to identify a center of innovation and industrial clusters, which would provide their effective economic and financial, information and logistics interaction. For this purpose, the paper proposes a method for solving the problem of locating an...

Intercluster interaction of district regions is optimized in the following sequence: 1) logistic, 2) informational, and 3) economic and financial. At the first two stages, the problem is solved as a quadratic assignment problem using an ant colony optimization algorithm. The third stage is...

The application of simulation modeling in public administration is under study at the level of interregional interaction in specific federal districts. The main indicator for development success of a particular federal district is the natural growth of its population. For this purpose, a model...