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63531-01 - Lecture: Introduction to Time Series Econometrics 3 CP

Semester fall semester 2022
Course frequency Every fall sem.
Lecturers Daniele Ballinari (daniele.ballinari@unibas.ch, Assessor)
Content Contents:

The course covers basic concepts of univariate time series analysis that are needed for an understanding of modern time series econometrics.

The course will study notions such as autocorrelation, stationarity, AR(I)MA models and their seasonal extensions, model selection and diagnostics, forecasting, unit roots, and volatility models. Empirical illustrations will make use of the R language for statistical computing and graphics, see https://www.R-project.org/, hence basic knowledge of this software package is expected. There may be lab sessions.
Learning objectives Basics of univariate time series analysis.
Bibliography Some references (the course will not follow a specific text!):

Robert H Shumway and David S Stoffer. Time Series Analysis and Its Applications: With R Examples. Springer, 2017

Brockwell PJ, Davis RA (2016). Introduction to Time Series and Forecasting, 3rd ed. Springer. [Available in electronic form via the university library.]

Chan NH (2010). Time Series: Applications to Finance with R and S-Plus, 2nd ed. Wiley.

Neusser K (2011). Zeitreihenanalyse in den Wirtschaftswissenschaften, 3. Auflage. Teubner. [Available in electronic form via the university library.]

Neusser K (2016). Time Series Econometrics. Springer.

Ruppert D, Matteson DS (2015). Statistics and Data Analysis for Financial Engineering, 2nd ed. New York: Springer. [Available in electronic form via the university library.]

 

Admission requirements The course 10172 Einführung in die Ökonometrie" should be passed succesfully. Basic knowledge of R is expected.
Course application Registration: Please enrol in the Online Services. EUCOR-Students and students of other Swiss Universities have to enrol at the students administration office (studseksupport1@unibas.ch) within the official enrolment period. In order to get access to ADAM in time, it is best to enrol before the course starts though.
Enrolment = Registration for the exam!
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Monday 12.30-14.00 Wirtschaftswissenschaftliche Fakultät
Comments The course takes place in the Auditorium, Economics Department

Dates

Date Time Room
Monday 19.09.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 26.09.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 03.10.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 10.10.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 17.10.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 24.10.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 31.10.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 07.11.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 14.11.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 21.11.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 28.11.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Monday 05.12.2022 12.30-14.00 Wirtschaftswissenschaftliche Fakultät, Auditorium
Modules Electives Bachelor Business and Economics: Recommendations (Bachelor's Studies: Business and Economics (Start of studies before 01.08.2021))
Electives Bachelor Business and Economics: Recommendations (Bachelor's degree subject: Business and Economics (Start of studies before 01.08.2021))
Modul: Wahlbereich in Wirtschaftswissenschaften (Bachelor's degree subject: Business and Economics)
Wahlbereich innerfakultär: Zusätzliches Lehrangebot (Bachelor's Studies: Business and Economics)
Assessment format record of achievement
Assessment details Written exam: Students may bring (1) a dictionary, (2) a calculator (subject to the usual rules), and (3) two pages of their own, handwritten notes. 12.01.23; 14:15-15:45. WWZ S13: A-Z.
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale 1-6 0,1
Repeated registration as often as necessary
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Faculty of Business and Economics

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