Infopaket

Applied statistics in the financial sector

ОК7

Обов’язкова дисципліна для ОП

Second

2023/2024

3 Semester

6

PR3. Adapt and modify existing scientific approaches and methods to specific situations in professional activities.PR4. Search, process, systematize, and analyze information necessary for solving professional and scientific tasks in the field of finance, banking, and insurance.PR10. Diagnose and model the financial activities of economic entities, including financial institutions.PR13. Evaluate the complexity of tasks in planning the activities of financial institutions and processing their results.PR20. Demonstrate skills in preparing financial statements, analyzing and interpreting financial, statistical, and related information.

Full-time form

The study of this discipline is based on subjects such as "Statistics," "Higher Mathematics for Economists," and "Probability Theory and Mathematical Statistics." Students should be able to utilize software tools for processing large volumes of data and problem-oriented packages of applications. They should possess skills in statistical data processing and visualization. Furthermore, knowledge in this discipline contributes to the successful completion of master's theses.

The curriculum of this discipline consists of two content modules: Module 1 - "Automated Information Processing System," which covers the principles of: working interface, database management, generation of workbooks and report files. It includes the use of descriptive statistics methods such as grouping and regrouping, summarization and comparison using means, absolute and relative values. It also covers methods for evaluating and analyzing variation, differentiation, concentration, and comparison of structures over time and space.Module 2 - "Analytical Statistics" explores methods for testing statistical hypotheses regarding: characteristics of a sample population, conformity of empirical, significance of differences in means and proportions among compared populations, as well as variances and randomness of correlations between variables. It also covers methods for trend analysis, seasonal fluctuations, and index analysis.

The objective of the discipline is to acquire methods for automating statistical analysis. The educational task of the course is to study the main capabilities of the applied software package Statistica in the analysis of socio-economic phenomena and processes.

The assessment is conducted on a scale of maximum 60 points and minimum 36 points, including: Completion of practical exercises during practical sessions (RN1; 2.1-2.3; 3.1; 4) - 30 points/18 points. Two module tests (topics 3-5 and 6-9) - each worth 5 points, totaling 10 points/6 points. Preparation and presentation of an individual project (RN1; 2.1-2.3; 3.2; 4) - 20 points/12 points.

Ukrainian