In line with the Rector’s order 01.10.2011 N 2 scientific and methodological seminar "Application of mathematical methods in the study of economic problems" began its work.

Director – Doctor of Economic Sciences, professor. Olga Kozmenko

Deputy Director - PhD, Olga Kuzmenko

Secretary – post-graduate student Anton Boyko

   

The aim of the seminar is to ensure effective application of mathematical tools while carrying out Economic Research. First of all increasing the efficiency of economic-mathematical methods in the thesis research for the degree of candidate and doctor of economic sciences in specialties "08.00.08 - Money, Finance and Credit" and "08.00.03 - Economics and management of national economy."

Audience - scientific and pedagogical staff of the Academy, graduate students, undergraduates.

Meeting on February 17, 2011

Meeting on March 25, 2011

The list of topics for consideration at the seminar:

  1. Conceptual approaches to the use of mathematical tools to control and optimize economic phenomenon and processes:
    • The essence of modeling as a method of scientific knowledge.
    • Features and principles of mathematical modeling.
    • The basic definition of economic and mathematical modeling.
    • Features of economic observations and measurements.
  2. Formalization of the basic stages of economic and mathematical models building:
    • Definition of economic problems and creation of conceptual model.
    • Development of mathematical models.
    • The model implementation as the package of applied programs (PAP) and the calculation.
    • Model adequacy checking.
    • Analysis of numerical results and decision-making.
  3. Principles of the econometric models:
    • The main aims of econometrics.
    • Binary linear regression. The method of least squares.
    • Multiple linear regression. MLB
    • Random agitators in the equation of linear regression.
    • Econometric analysis of linear regression function.
  4. Application of differential calculus apparatus in the study of economic problems.
  5. Modeling of economic processes through the application of the apparatus of probability theory.
  6. Using the mathematical analysis as the basis of economic-mathematical methods and models of operations research.
  7. Modern methods and approaches statistical data for Economic Research.
  8. Economic and mathematical modeling based on insensible logic application.
  9. Common mathematical methods and models in different economic sectors (research method in management and marketing on the formalization of consumer needs):
    • Economic problems statement and the creation of conceptual model.
    • Development of mathematical models.
    • The implementation model as the package of applied programs (PPP) and the calculation.
    • Checking model adequacy.
    • Analysis of numerical results and decision-making.
  10. Modeling the influence of ratings of investment bank on its competitive position on the basis of the discriminant and cluster analysis:
    • Economic problems statement and creation of conceptual model.
    • Development of mathematical models.
    • The implementation model as the package of applied programs (PPP) and the calculation.
    • Checking model adequacy.
    • Analysis of numerical results and decision-making.
  11. Mathematical models as tools of analysis and risk management in the economy:
    • The concept of risk and its place in the economy.
    • Methods of qualitative and quantitative risk analysis.
    • Analog method, sensitivity analysis, risk analysis by simulation methods.
    • Sample analysis and risk management in banking (National Bank methodology of risk assessment of legalization of criminal income).
  12. Methods to reduce the risks that arise in the economy:
    • Principles of risk management.
    • Classification of risks by way of minimization.
    • Diversification as a way to reduce risk.
  13. Simplex method as the most common method of solving economic problems:
    • Initial plan.
    • The transition from one plan to another reference.
    • Optimal solution.
    • The criterion of optimality of the plan.
    • Solving linear programming problem by simplex method.
  14. Using nonlinear programming to formalize the complex economic regularities:
    • Statement of the problem of nonlinear programming, the main difficulty in problems of nonlinear programming.
    • Classic optimization method: the method of Lagrange multipliers.
  15. Methods of time series forecasting:
    • Basic concepts and preliminary analysis of time series.
    • The existence of a trend hypothesis check.
    • Forecasting trends in time series for average performance.
    • Forecasting trends in time series by mechanical means.
    • Forecasting trends in time series for analytical methods.

Speakers for each topic are announced on the news site. Advanced content topics, and text books are placed electronically.

The formal structure of scientific-methodological seminar:

  • meetings 2 times per month (special announcement), one meeting is dedicated to planned topic lecture, the second - to the report of the post graduate students or applicants for doctoral degree as to formalization of mathematical interpretation research results.