Current Issues
17.04.2024: The midterm will take place on June 12 during the tutorial.
The three meetings will be on:
- April 17, 2024
- June 5, 2024
- July 17, 2024
22.03.2024: In the summer term 2024 the lecture on Applied Financial Econometrics will be offered as screencast via GRIPS. GRIPS is the elearning platform of the university. In addition there will be three meetings in person. The first one will be on April 17, see tab Appointments and Rooms.
The tutorials take place in person on Wednesdays.
Lecture slides, the catalogue of exercises including the to-do-list and data can be downloaded from this website. R programs can be downloaded from GRIPS.
10.06.2016:
Literature for Bayesian methodology:
- Bayesian Econometrics:
- Bayesian Statistics:
Course Contents
Aim of the Course:
Participants of this course study the theory and practice for modeling univariate (financial) time series. Students perform empirical projects including programming tasks in R.
The course is taught in English (on request German).
Course Outline
- The basics of time series modeling: autoregressive and moving average processes
- Forecasting (financial) time series
- More on time series modeling: unit root tests and diagnostic tools
- Modeling volatility dynamics: ARCH, GARCH, and TGARCH models as well as appropriate maximum likelihood estimators and their properties
- Long-run forecasting
- Explaining returns and estimating factor models
Literature
Information about the literature can be found on the slides.
Audience / Qualification
A prerequisite for the participation in the course Applied Financial Economtrics is the participation in the course Econometrics I or an equivalent course plus some basics in R.
The course Applied Financial Economtrics is a compulsory part of the study specializations Empirical Economics and Financial Markets for economics, an optional compulsory part of the study specialization Corporate Finance for business administration, and optional for all other students.
Grading System
The course consists of one midterm exam (Lernzielkontrolle), the exercise presentation, and a final exam. Details are given in GRIPS or the Modulkatalog
Downloads
Allgemein: Übergang der PO | |||
---|---|---|---|
Lecture | Tutorial | Other Stuff | |
(as of April 2023) | (as of April 2023) | ||
(as of April 2024) | Moments | ||
AR1 Simulation, Shiller2014.csv | |||
BWMData.csv, CAPM.RData | |||
ZlotyExchangeRate.csv, Siemens.txt | |||
ConsumerPriceAnalysis.csv | |||
LagLenthSelection.RData | |||
ARIMA Forecast | |||
ARIMA Selection Graph | |||
| ADF Simulation Summary | ||
ML Bernoulli PDF | |||
Appointments and Rooms
Schedule
Lecture | via sceencast and 3 times Wednesday | 10.00-12.00 | W 114 | Rolf Tschernig First Meeting: 17.04.2024 Second meeting: 05.06.2024 Third meeting: 17.07.2024 |
|
Tutorial | Wed | 8:30-10:00 | R 005 | Adrian Amos Drexel First session: 17.04.2024 |
|