Semester:SS 24
Type:Lecture
Language:English
Scheduled in semester:4
Semester Hours per Week / Contact Hours:28.0 L / 21.0 h
Self-directed study time:69.0 h
Type:Lecture
Language:English
Scheduled in semester:4
Semester Hours per Week / Contact Hours:28.0 L / 21.0 h
Self-directed study time:69.0 h
Module coordination/Lecturers
- Prof. Dr. Michael Hanke
(Modulleitung)
- Jennifer Nadine Schein, MSc
(Interner Dozent)
- Dr. Wolfgang Schadner
(Interner Dozent)
Curricula
Bachelor's degree programme in Business Administration (01.09.2021)Modules
Description
- Collection of Financial Data from Financial Databases
- Descriptive and Inferential Statistics for Financial Data
- Modelling and Forecasting Financial Timeseries
- Developing and formulating hypotheses
Qualifications
- know how to conduct financial research and analysis
- know and learn to use specific financial databases
- name and understand descriptive statistics that are of relevance in financial research
- learn and understand the properties of linear regression and time series analysis
- understand and explain the different designs of qualitative and quantitative research
- know how to gather and analyse data
- critically reflect on assumptions underlying specific statistical methods/models
- find suitable approaches to statistically address given research questions
- interpret empirical/statistical findings prudently
- are able to formulate testable hypotheses
- can choose and motivate appropriate data collection methods for given research objectives
- are able to choose and motivate appropriate sampling strategies for given research objectives
- listen carefully, read and repeat, practice until they understand the logic and mathematics behind models
- work together and motivate peers who tend to give up as a reaction to the difficulty of mathematical problems
- take responsibility and organize/explain their solution to others who have problems and tend to give up
- understand and critically discuss the arguments of fellow students
- understand the flaws and problems of fellow students, reaction without offense
- reflect and question their own research philosophy
- acknowledge the importance of diversity in academic thinking
- use "Excel" as a software to analyse financial data
- apply the methods learnt within a software
Lectures Method
Interactive Lecture, Student Presentation
Literature
- Brooks, C.: Introductory econometrics for finance. Newest Edition. Cambridge university press.
- DeFusco, R. A., McLeavey, D. W., Anson, M. J., Pinto, J. E., & Runkle, D. E.: Quantitative investment analysis. Newest Edition. John Wiley & Sons.
- Sekaran, U., & Bougie, R.: Research methods for business: A skill building approach. Newest Edition. John Wiley & Sons.
Exam Modalities
- Final Exam
Dates
Datum | Zeit | Raum |
14.02.2024 | 10:00 - 11:30 | H2 |
21.02.2024 | 10:00 - 11:30 | H2 |
28.02.2024 | 10:00 - 11:30 | H2 |
06.03.2024 | 10:00 - 11:30 | H2 |
13.03.2024 | 10:00 - 11:30 | H2 |
20.03.2024 | 10:00 - 11:30 | H2 |
27.03.2024 | 10:00 - 11:30 | H2 |
10.04.2024 | 10:00 - 11:30 | H2 |
17.04.2024 | 10:00 - 11:30 | H2 |
24.04.2024 | 10:00 - 11:30 | H2 |
08.05.2024 | 10:00 - 11:30 | H2 |
15.05.2024 | 10:00 - 11:30 | H2 |
22.05.2024 | 10:00 - 11:30 | H2 |
Exams
- PWW-BA-21_Research Methods I - VO - (IFS) (SS 24, bewertet)
- PWW-BA-21_HT_Research Methods I - (IFS) (SS 24, abgesagt)
- PWW-BA-21_Research Methods I - VO - (IFS) (WS 24/25, bestätigt)