5510854: C21_Research Methods I (VT IFS)

back to overview
Semester:SS 23
Scheduled in semester:4
Semester Hours per Week / Contact Hours:30.0 L / 22.5 h
Self-directed study time:67.5 h

Module coordination/Lecturers


Bachelor's degree programme in Business Administration (01.09.2021)


  • Collection of Financial Data from Financial Databases
  • Descriptive and Inferential Statistics for Financial Data (using R)
  • Modelling and Forecasting Financial Timeseries (using R)
  • Developing and formulating hypotheses
  • Collecting primary data using experiments
  • Collecting primary data using interviews or questionnaires
  • Sample selection


    • 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 objectives of qualitative and quantitative research
    • understand the importance of sample selection as well as different sampling strategies
    • know and understand the basic principles of experimental design
    • know and understand the basic principles of designing surveys and interviews
    • know how to gather and analyse data
    • choose the correct method for an analysis
    • consider assumptions underlying specific statistical methods/models
    • find suitable approaches to statistically address given research questions
    • interpret empirical/statistical findings prudently
    • can formulate testable hypotheses
    • can choose and motivate appropriate data collection methods for given research objectives
    • can choose and motivate appropriate sampling strategies for given research objectives
    • are aware of potential biases and confounders in primary data collection
    • 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
    • comprehend arguments that are based on divergent epistemological, and ontological assumptions
    • 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 "R" as a software package to analyse data
    • apply the methods learnt within a statistical software package (here: R)

Lectures Method



  • 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


15.02.202310:00 - 11:30H2
22.02.202310:00 - 11:30H2
01.03.202310:00 - 11:30H2
08.03.202310:00 - 11:30H2
15.03.202310:00 - 11:30H2
22.03.202310:00 - 11:30H2
29.03.202310:00 - 11:30H2
05.04.202310:00 - 11:30H2
19.04.202310:00 - 11:30H2
26.04.202310:00 - 11:30H2
03.05.202310:00 - 11:30H2
10.05.202310:00 - 11:30H2
17.05.202310:00 - 11:30H2
24.05.202310:00 - 11:30H2


  • PWW-BA-21_Research Methods I - (IFS) (SS 23, bewertet)
  • PWW-BA-21_HT_Research Methods I - (IFS) (SS 23, bewertet)
  • PWW-BA-21_Research Methods I - VO - (IFS) (WS 23/24, bewertet)