# 5109219: Research Methods I - IFS - specialization Part

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Semester:SS 21
Type:Lecture
Language:English
Scheduled in semester:4
Semester Hours per Week / Contact Hours:30.0 L / 22.5 h
Self-directed study time:67.5 h

## Description

• 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

## 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 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

## Literature

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.

## Exam Modalities

• written examination

## Dates

 Datum Zeit Raum 17.02.2021 10:00 - 11:30 Virtueller Raum 24.02.2021 10:00 - 11:30 Virtueller Raum 03.03.2021 10:00 - 11:30 Virtueller Raum 10.03.2021 10:00 - 11:30 Virtueller Raum 17.03.2021 10:00 - 11:30 Virtueller Raum 24.03.2021 10:00 - 11:30 Virtueller Raum 31.03.2021 10:00 - 11:30 Virtueller Raum 14.04.2021 10:00 - 11:30 Virtueller Raum 21.04.2021 10:00 - 11:30 Virtueller Raum 28.04.2021 10:00 - 11:30 Virtueller Raum 05.05.2021 10:00 - 11:30 Virtueller Raum 12.05.2021 10:00 - 11:30 Virtueller Raum 19.05.2021 10:00 - 11:30 Virtueller Raum 26.05.2021 10:00 - 11:30 Virtueller Raum

## Exams

• PWW-BA-12_Research Methods I - IFS - Specialization - VO (SS 21, bewertet)
• PWW-BA-12_HT_Research Methods I - IFS - Specialization - VO (SS 21, bewertet)
• PWW-BA-12_Research Methods I - IFS - Specialization - VO (WS 21/22, bewertet)