AØKA08154U  Summerschool 2017: Financial Econometrics B - Topics in Financial Time Series Econometrics (F)

Volume 2016/2017
Education

MSc programme in Economics – elective course
The course is part of the Financial line in Economics symbolized by "F".

Content

This course introduces topics from research in financial time series econometrics. For each topic, the econometric methods are discussed and illustrated by empirical applications. Topics are selected from within: Econometric Modeling of Asset Returns: - Multivariate GARCH models with application to portfolio selection and value at risk (VaR). - Test of market efficiency: Asset return predictability.

Static and Dynamic Asset Pricing Models: - The capital asset pricing model (CAPM) and the asset pricing theory (APT) model. - Term structure models, including co-integration.

High-Frequency Modeling: - Continuous time methods - Autoregressive conditional duration (ACD), and integer valued financial time series models.

Learning Outcome

This course introduces topics from research in financial time series econometrics. For each topic, econometric methods are discussed and illustrated by empirical applications. After completion of the course the student will have obtained a fundamental knowledge of central econometric modeling as applied in research within financial econometrics. For each topic treated this will include: - The ability to analyze the financial econometric models such that their properties are well-understood from a methodological point of view. This will include theory for estimation and testing, dynamic properties and linkage with applied literature. - The ability to implement the econometric models in applied work and interpret the results empirically and theoretically.

The topics covered, e.g. multivariate volatility modeling, asset pricing models and term structure models, will vary from year to year.

The course is based on selected papers and hand-outs provided during term. A full reading will be provided.
Supplementary reading:
Taylor, S.J., Asset Price Dynamics, Volatility and Prediction, Princeton University Press, 2005
Tsay, R., Analysis of Financial Time Series" Wiley, 2005.

A background in econometric methods as presented in e.g. "Financial Econometrics A". In particular, this includes likelihood-based analysis of univariate GARCH models.
Schedule:
Monday: 9-12, 13-15
Tuesday: 9-12, 13-15
Wednesdays: No teaching
Thursday: 9-12, 13-15
Friday: 9-12, 13-15

Timetable and venue:
To see the time and location of the lectures please press the link:
https:/​/​skema.ku.dk/​ku1718/​uk/​module.htm
Then
-Select Department: “2200-Økonomisk Institut” (and wait for respond)
-Select Module:: “2200-B5-5F17; [Name of course]”
-Select Report Type: “List – Week Days”
-Select Period: “Efterår/Autumn – Weeks 31-5”
Press: “ View Timetable”
Credit
7,5 ECTS
Type of assessment
Continuous assessment
Written assignment
A total of three mandatory hand-in written assignments passed during term. If all assignments are passed, then the final grade will be 'passed'.
The exam assignment is given in English and can be answered in English or in Danish. Language must be chosen at the course registration.
Exam registration requirements

Full participation at the summerschool is mandatory and the student must actively participate in all activities.

Aid
All aids allowed
Marking scale
passed/not passed
Censorship form
No external censorship
Exam period

During the summerschool the three assignments must be handed in at the deadlines.

For enrolled students more information about examination, exam/re-sit, rules etc. is available at the student intranet for Examination (English) and student intranet for Examination (KA-Danish).

Re-exam

Same as ordinary.

Criteria for exam assesment

Students are assessed on the extent to which they master the learning outcome for the course.

 

  • Category
  • Hours
  • Lectures
  • 42
  • Preparation
  • 164
  • Total
  • 206