Semester:WS 17/18
Type:Module
Language:English
ECTS-Credits:6.0
Scheduled in semester:1
Semester Hours per Week / Contact Hours:58.0 L / 43.5 h
Self-directed study time:136.5 h
Type:Module
Language:English
ECTS-Credits:6.0
Scheduled in semester:1
Semester Hours per Week / Contact Hours:58.0 L / 43.5 h
Self-directed study time:136.5 h
Module coordination/Lecturers
- Florian Schaller, MSc
(Modulleitung)
Curricula
Master's degree programme in Finance (01.09.2015)Description
Quantitative Finance will cover:
- Classical linear regression model assumptions and diagnostic tests
- Expansions of the simple linear regression model to multiple linear regressions
- Long-run relationships in finance
- Models of time series volatility and covariances
- Simulational methods in finance
- Introduction to ThomsonReuters Eikon
Qualifications
Admission Requirements
Econometrics and Advanced Mathematics and Statistics:
- Students should have a working understanding of simple linear regressions, of single time series models of the ARIMA-type, both in a theoretical manner as well as regarding its practical implementations (estimation and statistical inference) in R or EViews (or any other appropriate statistical programme)
- Students should have an understanding of single and multi variable calculus, matrices, probability and probability distributions, and descriptive statistics
Exam Modalities
See lectures within this module.
Class participation in "Data Sourcing and Analysis" is obligatory.