MPF_APFE Applied Financial Econometrics

Faculty of Economics and Administration
Autumn 2023
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
Axel Alejandro Araneda Barahona, Ph.D. (lecturer)
Guaranteed by
Axel Alejandro Araneda Barahona, Ph.D.
Department of Finance – Faculty of Economics and Administration
Contact Person: Iva Havlíčková
Supplier department: Department of Finance – Faculty of Economics and Administration
Timetable
Fri 10:00–11:50 P106, except Fri 22. 9., except Fri 10. 11.
  • Timetable of Seminar Groups:
MPF_APFE/01: Fri 14:00–15:50 VT105, except Fri 22. 9., except Fri 10. 11., A. Araneda Barahona
Prerequisites
BPE_ZAEK Introduction to Econometrics || BPE_INEC Introduction to Econometrics
Students are expected to be familiar with basic concepts of Corporate finance, Statistics and Econometrics
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course offers an insight into key topics of financial econometrics. The objective of the course is to develop an understanding about ideas and methods used to study financial markets. Emphasis is given on understanding the limits to predictability of market returns, specifics of time-series models (AR, ARDL, MA, ARMA, ARIMA, Unit-Root method, ARCH, GARCH), specifics of market returns (Different distributional assumptions) and how they are used to estimate key financial market risk measures (Value-at-Risk, Expected Shortfall). Participants are introduced to the CAPM and Fama – French pricing models, their estimation and possible further extensions (additional factors). To consolidate these ideas, students are introduced to a design and proper evaluation of an asset allocation strategy (e.g. model selection, forecasting, forecast evaluation). The applied nature of the course leads to the development of skills necessary to perform financial econometrics tasks in the R environment.
Learning outcomes
After completing the course, the student should be able to: - study the behavior of financial time-series, - quantify key risk measures of risky assets, - design and evaluate asset allocation strategies.
Syllabus
  • Introduction to financial econometrics 1. Introduction to financial markets and topics in financial econometrics. 2. Predictability of market returns. Time-series econometrics 3. Time-series econometric models, AR (p), MA (p), ARMA (p, q), ARIMA (p, q). 4. Unit Root Tests and invertibility, Seasonal Unit Root Tests, Unit Root Tests with Structural Breaks. 5. ARDL models – estimation, autocorrelation tests, HAC standard errors, time-series based boostrapping methods ). 6. ARCH models – ARCH(1), AR-ARCH(1), GARCH models – GARCH(1,1), distributional assumptions, ARCH tests Market risk measures 7. Value-at-Risk models – historical, distributional, model based. VaR forecast evaluation. 8. Expected shortfall – historical, distributional, model based. ES forecast evaluation. Event studies 9. Market event study – design of a market event study. 10. News driven market movements, e.g. monetary policy news announcements. Asset pricing and allocation 11. Capital asset pricing model, Fama and French model. 12. Asset allocation studies I., granularity, asset based allocation.
Literature
    recommended literature
  • BERNARDI, M and Catania L AMP. The model confidence set package for R. International Journal of Computational Economics and Econometrics. 2018, vol. 8, No 2, p. 144-158. Available from: https://dx.doi.org/10.1504/IJCEE.2018.091037. info
  • LEVENDIS, John D. Time Series Econometrics: Learning through replication. Springer, 2018. ISBN 3-319-98281-8. info
  • CAMPBELL, J W and A W MacKinlay A C LO. The econometrics of financial markets. Princeton University press, 1997. ISBN 0-691-04301-9. info
    not specified
  • LINTON, O. Financial econometrics: Models and Methods. Cambridge University Press, 2019. ISBN 978-1-316-63033-4. info
Teaching methods
Lecture notes, problem sets, and case studies are necessary for successful passing of the course. As they are required they will be available in the eLearning module for free.
Assessment methods
Grading is in accordance with the internal guidelines of the Faculty of Economics and Administration of Masaryk’s University and is based on every week assignments during seminars (50%), and final exam (50%). A total of 51% minimum is required to pass.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2022, Autumn 2024.
  • Enrolment Statistics (Autumn 2023, recent)
  • Permalink: https://is.muni.cz/course/econ/autumn2023/MPF_APFE