Module WS 2017/2018

  • Cost of capital and capital budgeting Discounted cash flow valuation and financial multiples Payout policy Equity and debt financing Applications of option pricing theory Corporate control and recapitalizationsEnterprise Risk Management
Empirical Finance will cover:
  • Foundations of Modern Standard Capital Market Theory and Capital Asset Pricing Model
  • Market Anomalies
  • The Event Study Method
  • Empirical Asset Pricing Tests
  • Key concepts of experimental research approaches
  • Testability of market and trader behavior
  • Introduction to R (Syntax, program structure, programming concepts)
  • Introduction to Financial Markets
  • Interest rates and bond prices
  • The structure of interest rates
  • Market efficiency
  • Monetary policy
  • Money markets
  • Bond markets
  • Mortgage markets
  • Derivative markets
  • Introduction to Financial Economics
  • Expected utility, Mean-variance and Prospect theory
  • Ambiguity
  • Capital Asset Pricing Model
  • Behavioral CAPM
  • Basic two-period models
  • Arbitrage Pricing Theory
  • Global Financial Environment
  • International Parity Conditions
  • Foreign Exchange Rate Determination and Forecasting
  • The Foreign Exchange Market and the Use of Foreign Currency Derivatives
  • Foreign Exchange Exposure
  • Financing the Global Firm
  • Foreign Investment Decisions
  • International Trade Finance
  • Working Capital Management
  • Recognising problems and analysing various topics in the area of financial services
  • Handling ambitious practical problems in financial services like consulting projects and
real portfolio management
  • Developing customer-specific solutions
  • Communicating with project client
  • Presenting the final project report
  • Working in a team in a project-oriented manner
  • Mastering a portfolio under the supervision of a portfolio manager
  • Working up all relevant information and data for portfolio management
  • Structuring the strategic and tactical asset allocation
  • Deciding on security selection
  • Identification of a research problem and development of a research question
  • Thematically formulating a problem and developing a solution through application of
scientific methods
  • Independence in handling a research problem determined in the course of an assessment.
  • Discussion with the advisor about methodological and content issues in solving a research
  • Completion of a comprehensive assignment where the students deal with a theoretical or
practice-oriented problem in their field of specialisation by drawing on scientific work
  • Completion of presentation documentation on a research problem within their specialised
  • Defense of the elaborated research topic and in-depth discussion with the examination
Quantitative Finance will cover:
  • Classical linear regression model assumptions and diagnostic tests
  • Expansions of the simple linear regression model to multiple linear regressions
  • Long-run relationships in finance
  • Models of time series volatility and covariances
  • Simulational methods in finance
  • Introduction to ThomsonReuters Eikon