151-0350/03 – Time Series Analysis (AČŘ)
Gurantor department | Department of Mathematical Methods in Economics | Credits | 5 |
Subject guarantor | doc. Ing. Petr Seďa, Ph.D. | Subject version guarantor | doc. Ing. Petr Seďa, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 2 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2013/2014 | Year of cancellation | 2021/2022 |
Intended for the faculties | EKF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
Students will be able:
* to analyze and model the economic time series including forecasting,
* to explain the basic concepts and methods of modeling of economic time series.
Teaching methods
Lectures
Tutorials
Other activities
Summary
The course is focused on the analysis and forecasting of the dynamics of economic time series. Its main goal is to explain the most frequently used models and procedures for analysis of economic time series and their using in practice. These procedures are essential for decision making, planning, forecasting in the economy. Students attend seminars in computer labs. The SPSS and MS Excel software will be utilized. The course requires basic knowledge of probability theory and statistics.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
1. Preparation and submission of homework (project).
2. Successful completion of the final test.
3. Successful completion of exam.
E-learning
http://lms.vsb.cz/
Other requirements
not any additional requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
- Basic concepts and properties of time series.
- Measures the dynamics of economic time series.
- Transformation of time series, replacing missing values, remote and extreme values.
- The classical model of economic time series (trend, cycle, seasonality).
- The trend models.
- Basic models of seasonal ingredients and seasonal adjustment methods.
- Analysis of the residual component and the Durbin-Watson test of autocorrelation.
- Principles of forecasts and predictions of success criteria.
- Introduction to Box-Jenkins methodology of modeling economic time series.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction