Comparative Analysis of Methods of Forecasting the Consumer Price Index for Food Products (on the Example of the Altai Territory)

Stepan Mezhov, Maxim Krayushkin

References:

1. V. A. Baykov and A.Y. Tarasova, “An integratedapproach to forecasting the inflation rate”, Bulletinof the Moscow University of Finance and Law, 2019,no. 7, p. 49-57.
2. N.N. Karabutov, “Interrelation of indicesdetermining the level of inflation”, Economy, Taxes,Law, 2020, no. 10, pp. 40-47.
3. A. A. Skrobotov and A.V. Tsarev, “Forecasting ofmacroeconomic indicators of the Russian economy”,Economic development of Russia, 2020, no. 18,pp. 45-55.
4. S. G. Shulgin, “Selection of variables for instabilityanalysis and forecasting using gradient boostingmodels”, System monitoring of global and regionalrisks, 2018, no.8, pp. 115-153.
5. E. V. Balatsky, N. A. Ekimova, and M. A. Yurevich,“Short-term forecasting of inflation based on markermodels”, Forecasting problems, 2019, no. 5, p.28-40.
6. I. A. Vakhrushev, “Forecasting the trend dynamicsof the stock market based on macroeconomic factorsusing a diffuse index”, Scientific Journal of ITMOResearch University, The series «Economics andEnvironmental Management», 2020, no. 5,pp. 42-48.
7. F. E. Huseynova, “Analysis of medium-term trendsin the dynamics of inflationary processes of theRussian economy”, Skif. Questions of studentscience, 2019, no. 7, p. 12-20.
8. I. N. Dementieva, “Application of the index methodin studies of consumer sentiment of the population”,Economic and social changes, 2019, no. 1,pp. 153-173.
9. E. B. Mitsek and S. A. Mitsek, “Analysis of factorsof dynamics of the main macroeconomic variables ofthe Russian Federation”, Questions of management,2020, no. 1, pp. 47-61.
10. A. Yu. Yakimchuk, A. I. Teplenko, andM.N. Konyagina, “The influence of the key rate oninflation rates in modern Russia”, Bulletin of theAcademy of Knowledge, 2020, no. 37, pp. 490-497.
11. I. N. Dubina, Mathematical and statistical methods inempirical socio-economic research: textbook,Moscow, Finance and Statistics, 2010, 415 p.
12. Deductor - platform capabilities. Official website ofBaseGroup Labs, 2021, [Online]. Available:https://basegroup.ru/deductor/description.
13. F. Wasserman, “Neurocomputer technology”,Theory and practice: a textbook, Moscow, 1992.
14. S. A. Terekhov, Lectures on the theory andapplications of artificial neural networks: textbook, -Snezhinsk, 1998.
15. Database of examples of solving specificmanagement tasks in the statistica system. Officialwebsite of Statsoft, 2021, [Online]. Available:http://statsoft.ru/solutions/ExamplesBase/tasks.