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# 4509219: C12_Research Methods I - IFS - specialization Part

Semester: SS 18
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 19.02.2018 15:15 - 16:45 S3 26.02.2018 15:15 - 16:45 S3 05.03.2018 15:15 - 16:45 S3 12.03.2018 15:15 - 16:45 S3 26.03.2018 15:15 - 16:45 S3 09.04.2018 15:15 - 16:45 S3 16.04.2018 15:15 - 16:45 S3 23.04.2018 15:15 - 16:45 S3 30.04.2018 15:15 - 16:45 S3 07.05.2018 15:15 - 16:45 S3 14.05.2018 15:15 - 16:45 S3 28.05.2018 15:15 - 16:45 S3

## Prüfungen

• PWW-BA-12_Research Methods I - IFS - Specialization - VO (SS 18, bewertet)
• PWW-BA-12_HT_Research Methods I - IFS - Specialization - VO (SS 18, bestätigt)
• PWW-BA-12_Research Methods I - IFS - Specialization - VO (WS 18/19, bestätigt)