Economic and mathematical modeling (072 “Finance, business banking, insurance and stock market”)

Type: Normative

Department: department of digital economics and business analytics




SemesterAmount of hoursLecturerGroup(s)
34Associate Professor Myshchyshyn O. Y.УФФ-21с, УФФ-22с, УФФ-23с, УФМ-21с

Laboratory works

SemesterAmount of hoursGroupTeacher(s)
316УФФ-21сRomanych I. B.
УФФ-22сRomanych I. B.
УФФ-23сRomanych I. B.
УФМ-21сRomanych I. B.

Course description

Discipline “Economic and Mathematical Modeling” refers to the normative disciplines of the cycle of natural science and general economic training in the field of knowledge 07 “Management and Administration” in the areas of training 071 “Accounting and Taxation”, 072 “Finance, Banking and Insurance”, 074 “Public management and administration “, 051” Economics “. The discipline “Economic and mathematical modeling” is not only the basis for the study of special disciplines, the acquired knowledge will be needed in further practical activities for future professionals in the field of economics and finance.

The subject of the discipline is economic-mathematical methods and models used in the process of solving optimization problems and problems of forecasting the dynamics of socio-economic processes that arise during the functioning of dynamic deterministic and stochastic systems in macro- and microeconomics.

The purpose of studying the discipline “Economic and mathematical modeling”: the formation of a system of knowledge on the methodology and tools for building and using different types of economic and mathematical models.

The main tasks of the discipline “Economic and Mathematical Modeling” are the study of the basic principles and tools of problem statement, construction of economic and mathematical models, methods of their solution and analysis for use in economics.

Requirements for knowledge and skills

As a result of studying the discipline “Economic and Mathematical Modeling” the student has:

a) to know

principles of construction of mathematical models of economic processes;
essence and basic principles of construction of optimization problems;
formulation and methods of solving a linear problem of mathematical programming;
type of transport problem and methods of its solution;
the essence of econometric modeling and its stages;
methods for estimating the parameters of the econometric model;
methods for assessing the adequacy of econometric models and their parameters.

b) be able to

build mathematical models of economic problems;
solve linear programming problems;
perform construction and solution of transport problems;
identify variables and specify econometric models;
evaluate the parameters of the econometric model;
check the adequacy of econometric models and their parameters;
perform point and interval forecast.

Recommended Literature


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  2. Chemerys A., Yurynets R., Myshchyshyn O. Optimization methods in economics. Tutorial. – Kyiv: Center for Educational Literature, 2006. – 152p.
  3. Singaevskaya GI Functions in Excel. Solving practical problems. M .: Williams Publishing House, 2009. – 880 p.
  4. Vitlinsky VV, Nakonen SI, Tereshchenko TO Mathematical programming: Teaching method, manual for self. studied dist. – К .: КНЕУ, 2001. – 248 p.
  5. Ulyanchenko OV Research of operations in economy / Kharkiv National Agrarian University. VV Donugaev. – Kharkiv: Grif, 2002. – 580p.
  6. Ulyanchenko OV Research of operations in economy / Kharkiv National Agrarian University. VV Donugaev. – Kharkiv: Grif, 2002. – 580p.
  7. Nakonechny SI. Tereshchenko TO Econometrics: Teaching method, manual for self. studied dist. – К .: КНЕУ. 2001. – 192 p.
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  9. Vitlinsky VV Modeling of economy. Tutorial. – К .: КНЕУ, 2003. – 408 с.
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  14. Klebanova TS Mathematical methods and models of market economy: textbook. manual / TS Klebanova, MO Kizim, OI Chernyaktain. –X. : VD “INZHEK”, 2009. – 456 p.
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  17. Pinegina MV Mathematical methods and models in economics: textbook. allowance. for universities / MV Pinegina. –M. : Экзамен, 2004. –127 с.


  1. Maryuta AN, Boitsun NE Statistical methods and models in economics. Monograph. – Dnepropetrovsk: Thresholds, 2002. – 384p.
  2. Shikin EV, Chkhartishvili AG Mathematical methods in management: Textbook. Manual. – 2nd ed., – M .: Delo, 2002. – 440p.
  3. Gruber J. Econometrics: Introduction to Multiple Regression and Econometrics. In 2 volumes – K .: Nichlava, 1998. – Vol. 1; Vol.2 – I999
  4. hokhlov NV Risk management: A textbook for universities. – M .: UNITY-DAN, 2001. – 239 p.
  5. Shchekin G.V. Business management. – K: Interregional Academy of Personnel Management, 2004 – 231 p.



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