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# 4709219: C12_Research Methods I - IFS - specialization Part

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Semester:SS 19
Art:Vorlesung
Sprache:Englisch
Plansemester:4
Lektionen / Semester:30.0 L / 22.5 h
Selbststudium:67.5 h

## Studiengang

Bachelorstudiengang Betriebswirtschaftslehre (01.09.2012)

## Beschreibung

• Introduction to R
• 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

## Kompetenzen

• 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
• use "R" as a software package to analyse data
• consider assumptions underlying specific statistical methods/models
• find suitable approaches to statistically address given research questions
• apply the methods learnt within a statistical software package (here: R)
• 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

Lecture

## Literatur

Brooks, C. (2014). Introductory econometrics for finance. Cambridge university press.
DeFusco, R. A., McLeavey, D. W., Anson, M. J., Pinto, J. E., & Runkle, D. E. (2015). Quantitative investment analysis. John Wiley & Sons.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.

## Prüfungsmodalitäten

• written examination

## Termine

 Datum Zeit Raum 20.02.2019 10:00 - 11:30 S3 27.02.2019 10:00 - 11:30 S3 06.03.2019 10:00 - 11:30 S3 13.03.2019 10:00 - 11:30 S3 20.03.2019 10:00 - 11:30 S3 27.03.2019 10:00 - 11:30 S3 03.04.2019 10:00 - 11:30 S3 10.04.2019 10:00 - 11:30 S3 17.04.2019 10:00 - 11:30 S3 08.05.2019 10:00 - 11:30 S3 15.05.2019 10:00 - 11:30 S3 22.05.2019 10:00 - 11:30 S3 29.05.2019 10:00 - 11:30 S3

## Prüfungen

• PWW-BA-12_Research Methods I - IFS - Specialization - VO (SS 19, bewertet)
• PWW-BA-12_HT_Research Methods I - IFS - Specialization - VO (SS 19, bestätigt)
• PWW-BA-12_Research Methods I - IFS - Specialization - VO (WS 19/20, bestätigt)