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10684-01 - Lecture: Time Series Analysis I (3 CP)

Semester fall semester 2015
Course frequency Every fall sem.
Lecturers Christian Kleiber (christian.kleiber@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 latter refers to topics such as unit roots, volatility models, vector autoregressions (VARs), and cointegration, which are studied in the follow-up course Time Series Analysis II in the second half of the semester.

Time Series Analysis I will study notions such as autocorrelation, stationarity, AR(I)MA models and their seasonal extensions, model selection and diagnostics, and forecasting. Empirical illustrations will make use of the R language for statistical computing and graphics, see http://www.R-project.org/, hence basic knowledge of this software package is expected.


Learning objectives Basics of univariate time series analysis.

Bibliography Some references (the course will not necessarily follow a specific text!):

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

Cryer JD, Chan KS (2008). Time Series Analysis, with Examples in R, 2nd ed. Springer. [Available in electronic form via the university library.]

Franses PH, van Dijk D, Opschoor A (2014). Time Series Models for Business and Economic Forecasting, 2nd ed. Oxford Univ. Press.

Hyndman RJ, Athanasopoulos G (2013). Forecasting: Principles and Practice. OTexts. [Freely available as an online, open-access textbook at https://www.otexts.org/fpp/.]

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.]

Tsay RS (2010). Analysis of Financial Time Series, 3rd ed. Wiley.

Comments The 3 CP-lectures is 4 hours weekly but only in the first half of the term (unitl october 27nd, 2015). In the second half of the term the lecture 30661 Time Series Analysis II follows.
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Admission requirements WWZ students: BA completed. In addition, successful completion of Advanced Econometrics is strongly recommended.

Other participants: Basic statistics (incl. regression basics) and mathematics.

Course application Course registration: please enrol in MOnA; Eucor students enrol at the Students Services at Petersplatz 1 within the registration deadline. Registration = Admission to the exam
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Spezialisierungsmodul: Areas of Specialization in International and/or Monetary Economics (Master International and Monetary Economics)
Statistics and Computational Science Module (Master Actuarial Science)
Vertiefungsmodul Monetary Economics and Financial Markets (Master Business and Economics)
Vertiefungsmodul Quantitative Methods (Master Business and Economics)
Assessment format end-of-semester examination
Assessment details Written exam. In addition, there will be at least two assignments, for which students may work in groups of two. Each assignment will account for 10% of the final grade.
Written exam: 12.11.15;08:15-09:45. Exam rooms: WWZ Audi: A-Z.
You can still withdraw from the examination by submitting a completed, signed form to our office from 13.10.15 until 23.10.15 / 12:00 o’clock. Withdrawals sent by email will not be accepted. You will find the examination withdrawal form on the Homepage of the Student Dean’s Office. Prior to 12.10.15, please only use MONA for withdrawing.
Assessment registration/deregistration Registration: 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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