Modules in the Second Semester
In this course, students shall acquire a broad theory-based knowledge of company valuation techniques in different frameworks, become acquainted with finance software (e.g. Excel, MATLAB), develop an understanding of and experience with empirical analysis based on real data, and gain insights into valuation pitfalls and recent models.
With Behavioral Finance, students acquire knowledge about market and portfolio anomalies, are enabled to apply techniques how to detect these anomalies, gain insight into psychological explanations, and get to know models in Behavioral Finance.
In this module, students shall become acquainted with the most relevant concepts for the modelling of derivatives (financial options and real options), develop an adequate understanding of the methods for deriving the price of options, gain insights into computer algebra systems during the teaching unit, are able to choose feasible analytical numerical algorithms and apply them to problems of Corporate Finance at the end of the teaching unit, and acquire team and communicative competence through group projects.
With Financial Institutions, students shall acquire the ability to use economic reasoning to analyze the structure of financial markets, describe the institutional frameworks in which intermediaries and central banks operate, analyze how a bank conducts business using the simulation game “ProBanker”, present and defend management decisions taken in the simulation game, present a solution that has been developed through teamwork in the classroom, and are encouraged and empowered to work independently and self-reliantly.
Compulsory Elective Seminar (Specialization track), 10 ECTS
Choose one of the offered seminars, for example:
A. Computational Finance and Financial Management
Students become familiar with modeling tools for financial options and option pricing, acquire basics in generating random numbers with specific distributions, learn to perform a Monte Carlo simulation, and develop an understanding of numerical methods e.g. the finite element method, have the ability to solve financial problems in programming languages e.g. Python, Matlab, improve skills to present and defend their work.
This seminar is oriented toward current developments in the fields of computational finance and financial management.
or
B. Microeconometric Tools for Labor Market Research and Policy Evaluation
Students acquire knowledge of advanced problems of empirical labor economics and related fields independently, learn techniques to derive causal statements from observational data, develop the ability to critically discuss scientific papers, acquire presentation skills, and develop the ability to independently write a seminar paper.
or
C. Topics in Economic Analysis of Law
Students learn how to identify and describe problems and challenges for theoretical reasoning, get to know academic research methods and sources of information, acquire the ability to write academic papers and present their results, participate in academic discussions.
Note: For the seminars, we have the following regulations and procedures:
During the first session of this seminar guidelines for academic writing will be introduced. Seminars are supervised by a professor.
Students have to write a seminar paper on the economic analysis of legal rules and their relation to management problems. This written paper must be defended in class.