Business and Financial Statistics
Course: International Business, Commerce And Finance
Structural unit: Educational and scientific institute of international relations
Title
Business and Financial Statistics
Code
OK 25
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
2 Semester
Number of ECTS credits allocated
4
Learning outcomes
Know the notions in international economic and business statistics and statistical analysis methods; the sources of international economic and business-statistics; methods of graphical and correlation analysis; the algorithm of the analyses of proportions and means, and treatment of missing dat .
Be able to find the necessary international economic statistical data for further analysis; to apply software for statistical analysis; to perform statistical analysis of economic and business information; to interpret the results of statistical analysis, to consider limitations of the input data and quantitative methods, to adjust the algorithm of analysis.
Master the skills of conducting discussions during search of statistical information;
conducting discussions during interpreting results of statistical analysis.
Make and rationalize a decision on selecting the method of statistical analysis;
decision in international business and finance after performing statistical analysis.
Form of study
Distance form
Prerequisites and co-requisites
- Knowledge of basic notions of economics and business.
- Essential mathematical skills.
- Basic skills for using modern information technologies.
- Proficiency in English
Course content
Module 1
International statistical databases
1. The database World Development Indicators of the World Bank
2. Sources of the comprehensive statistical data
3. Statistics of competitiveness and business climate
4. Financial Statistics
5. Statistics of international trade
6. Statistics of companies
7. Other sources of statistical data
Module 2
Statistical analysis methods
6. Graphical analysis
7. Correlation analysis
8. Treatment of missing data
9. Analysis of proportions
10. Analysis of means
Recommended or required reading and other learning resources/tools
⦁ Chugaiev O. Templates for Calculating in Excel, 2019.
⦁ Excel help & learning / Microsoft (https://support.office.com/en-us/excel)
⦁ Data Analysis (https://www.excel-easy.com/data-analysis.html).
⦁ Data Catalog / World Bank (https://datacatalog.worldbank.org/).
⦁ Grysenko M.V., Chugaiev O.A. Quantitative Methods for Analysis of International Economic Relations (Concise translated extracts). Kyiv, 2012.
⦁ International Financial Statistics / International Monetary Fund (https://data.imf.org/?sk=4C514D48-B6BA-49ED-8AB9-52B0C1A0179B).
⦁ Levine D., Ramsey P., Smidt R. Applied Statistics for Engineers and Scientists: Using Microsoft Excel & Minitab. Prentice Hall Inc., 2001.
⦁ ORBIS / Bureau van Dijk (https://www.bvdinfo.com/en-gb/-/media/brochure-library/orbis.pdf).
⦁ Trading Economics Overview (http://www.tradingeconomics.com/united-kingdom/indicators).
⦁ World Development Indicators / World Bank (http://data.worldbank.org/data-catalog/world-development-indicators).
Planned learning activities and teaching methods
Lectures, seminars
Assessment methods and criteria
Reporting and solving problems at the seminars – up to 40 points.
Tasks for individual work – up to 30 points.
Module control work – up to 30 points.
Language of instruction
English
Lecturers
This discipline is taught by the following teachers
Departments
The following departments are involved in teaching the above discipline