English proficiency:
Research projects:
- RSF grant #23−28−1 213 «Theory and methodology of short- term economic forecasting using complex-valued vector autoregressions» (2023−2024);
- RFBR grant #19−010−610\19 «Theory, methods and techniques for forecasting economic development using autoregressive models of complex variables» (2019−2021);
- RHF grant #16−02−172 «Development of the theory of multi-level competition, its methods and techniques» (2016- 2018);
- RFBR grant #13−06−316 «Complex-valued analysis of the efficiency of development of the mineral resource complex of Russia» (2013−2015);
- International grant of the Russian Humanitarian Science Foundation and the National Academy of Sciences of Ukraine No. 10−02−716 a/U «Models for assessing the unevenness and cyclicality of the dynamics of socio-economic development of the regions of Ukraine and Russia» (2010 — 2012);
- Grant of the Russian Humanitarian Science Foundation No. 08- 02−00212a «Innovation, entrepreneurship and competition: a systemic study of the relationship» (2008−2010);
- Grant of the Russian Foundation for Basic Research No. 07−06- 151 «Development of the foundations of economic and mathematical modeling using complex variables» (2007−2009).
Research topics:
Mathematical, statistical and instrumental methods in economics
Field of study:
Research interests:
Models and methods of behavioral economics; mathematical modeling of market equilibrium; modeling and forecasting of economic conditions; modeling of multilevel competition; adaptive methods of economic forecasting; complex-valued economics: production functions of complex variables, complex- valued statistics, modeling of complex nonlinear economic processes using methods of the theory of functions of complex variables, complex-valued autoregressions, vector autoregressions, neural and polynomial networks
Research highlights:
Научные идентификаторы:
Scopus ID 56 652 307 100
Elibrary SPIN 1772−7180
Researcher ID N-1787−2013
Specific requirement:
Excellent knowledge of mathematical statistics, economics and programming in R or Python
Main publications:
- Svetunkov S.G., Svetunkоv I.S. Complex-Valued Econometrics with Examples in R. Modelling, Regression and Applications. Springer Cham, 2024, 154 p. doi.org/10.1007/978−3-031- 62 608−1.
- Svetunkov Sergey. Complex-Valued Modeling in Economics and Finance. Springer Science+Business Media, New York, 2012. 318 p. doi.org/10.1007/978−1-4614−5876−0
- Svetunkov S. Elementary image of the Kolmogorov-Gabor polynomial in economic modeling. Technoeconomics. 2024. 3. 2 (9). 4−21. DOI: doi.org/10.57 809/2024.3.2.9.1
- Technoeconomics. 2024. 3. 2 (9). 4−21. DOI: https://doi.org/10.57 809/2024.3.2.9.1
- Svetunkov S.G. Performance of Main Information Criteria in Choosing the Best Model for Short-Term Economic Forecasting. Economics and Mathematical Methods. 2025 № 2, 118−128 p.
Olympiad Profiles:
- Economics & Econometrics