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Course, academic year 2013/2014
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Applied Econometrics - JEM116
Title: Applied Econometrics
Guaranteed by: Institute of Economic Studies (23-IES)
Faculty: Faculty of Social Sciences
Actual: from 2012 to 2013
Semester: summer
E-Credits: 6
Examination process: summer s.:
Hours per week, examination: summer s.:2/2, Ex [HT]
Capacity: 129 / 172 (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Additional information: http://ies.fsv.cuni.cz/index.php?module=sylab&action=sylab&id_sylab=140&lng=cs_CZ
Note: course can be enrolled in outside the study plan
enabled for web enrollment
priority enrollment if the course is part of the study plan
Guarantor: prof. Roman Horváth, Ph.D.
doc. PhDr. Jozef Baruník, Ph.D.
PhDr. Jaromír Baxa, Ph.D.
Teacher(s): doc. PhDr. Jozef Baruník, Ph.D.
PhDr. Jaromír Baxa, Ph.D.
prof. Roman Horváth, Ph.D.
PhDr. Jiří Kukačka, Ph.D.
PhDr. Marek Rusnák, Ph.D.
Class: Courses for incoming students
Examination dates   Schedule   Noticeboard   
Annotation -
Last update: prof. Roman Horváth, Ph.D. (10.02.2023)
The course concentrates on the practical use of econometric methods, reviewing the relevant methodology, its use, and possible alternative modeling approaches. The lectures are supplemented by computer classes, where students can gain hands-on experience in applied econometric analysis. During the course, we will especially focus on time series techniques applied to forecasting asset volatility, modeling inflation, exchange rate volatility, and other topics that you may regularly encounter in economic and financial literature. The course focuses on the following topics in econometrics: OLS, IV, ARIMA, GARCH, VAR, cointegration, filters, and limited dependent variables.
Literature - Czech
Last update: prof. Roman Horváth, Ph.D. (17.02.2021)

Selected recommended textbooks on applied econometrics:

Brooks, C.: Introductory Econometrics for Finance, Cambridge University Press.


Enders, W.: Applied Econometric Time Series, 2nd edition, 2003
Harris, R. and R. Sollis: "Applied Time Series Modelling and Foecasting", 2003
Stewart, K. G.: "Introduction to Applied Econometrics", 2005
Verbeek, M.: ?A Guide to Modern Econometrics?, 2nd edition, 2004
Kratzig, M. and H. Lutkepohl ,?Applied Time Series Econometrics?, 2004
Kocenda, E. and A. Cerny, "Elements of Time Series Econometrics: An Applied Approach", 2007, Karolinum Press

Teaching methods
Last update: PhDr. Jiří Kukačka, Ph.D. (14.02.2023)

Lectures accompanied by seminars in computer room 016.

The software R will be used during the seminars, and materials will be processed in the interactive Jupyter Notebook .ypinb format (freeware, available on all computers in 016). If you want to work on your computer, ensure in advance Jupyter is properly connected to the R kernel.

If you are new to R and have not used Jupyter so far, study the Intro_to_jupyter+R.zip in Files and review the recorded introductory lectures on R basicsData structuresData input, and Basic data management from Data Analysis in R and/or the first recorded lectures from Data Science with R.

Syllabus -
Last update: prof. Roman Horváth, Ph.D. (10.02.2023)

1. Introduction

2. OLS and basics

3. Introduction to Time Series

4. ARIMA Modeling

5. GARCH (2 lectures)

6. Introduction to Cointegration

7. Vector Autoregression

8. TSLS, IV

9. Non-linear time series models

10. Limited dependent variable models in finance

11. Time series filters

12. Networks

13. Guest lecture

 
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