Teaching

Teaching

My teaching interests are in corporate finance, quantitative methods in finance, and risk management. Whenever possible, I try to teach theoretical and empirical concepts in finance with numerical examples, small cases, and assign “hands-on” exercises.

I consistently receive high evaluations from my students and feedback such as

Great Job. I liked the link to real world empirical research. (Commercial Banking, Winter 2015)

Really great and productive meetings. I liked the atmosphere while presenting. The professor gave amazing input. (Seminar “Endogeneity in Empirical Corporate Finance”, Winter 2015)

The practical implementation of the theory by using statistical software such as Matlab. In comparison to pure literature seminar thesis this is much more interesting. (Seminar “Endogeneity in Empirical Corporate Finance”, Winter 2015)

The part with case studies was great to see how the knowledge could be applied. (Investment Banking, Summer 2015)

Graduate Level/Doctoral

  • Derivatives and Risk Management
  • University of Southern Denmark, MSc, Fall 2017
  • Topics: Forwards and futures, stock options, hedging, risk-neutral valuation, term structure models, Monte Carlo simulation, stochastic calculus. Methods: Excel case studies.
  • Advanced Topics in Financial Management
  • HKUST Business School, MSc, Spring 2017
  • Topics: Basic valuation, agency costs of debt and equity, corporate governance, executive compensation, capital structure, raising funds, IPO. Methods: Case studies.
  • Risk Management for Financial Institutions
  • HKUST Business School, MSc, Spring 2017
  • Topics: Banking regulation, credit ratings, credit risk modeling, estimating default probabilities, credit default swaps, market risk modeling, estimating Value-at-Risk. Methods: Excel case studies.
  • Empirical Corporate Finance
  • LMU Munich, Doctoral/MSc, Summer 2012, 2014, 2016
  • Topics: Students replicate selected research papers in empirical corporate finance and develop their own research proposal (for Master or PhD thesis). Methods: Stata, research proposal presentation.
  • Investment Banking
  • LMU Munich, MSc, Summer 2015
  • Topics: Students read selected research papers in investment banking and conduct an event study analysis of a M&A transaction. Methods: Stata, event study, research presentation.
  • Quantitative Methods
  • LMU Munich, Doctoral, Winter 2014
  • Topics: Estimation frameworks, statistical inference, OLS, endogeneity, instrumental variables, limited dependent variables, panel data estimation. Methods: Monte Carlo simulation, Matlab case studies.
  • Advanced Risk Management
  • LMU Munich, MSc, Winter 2011
  • Topics: Credit ratings, estimating default probabilities, default correlation, credit portfolio models, credit default swaps, market risk modeling, estimating Value-at-Risk. Methods: Excel case studies.

Undergraduate Level

  • Mergers, Acquisitions, and Corporate Restructuring
  • HKUST Business School, Fall 2016
  • Topics: Basic valuation, deal structuring, merger strategy, stock market reactions, merger arbitrage, takeover tactics and defenses, leveraged buyouts, corporate restructuring. Methods: Case studies.
  • Banking and Risk Management
  • HKUST Business School, Fall 2016
  • Topics: Banking regulation, credit ratings, credit risk modeling, estimating default probabilities, credit default swaps, market risk modeling, estimating Value-at-Risk. Methods: Excel case studies.
  • Commercial Banking
  • LMU Munich, Winter 2015
  • Topics: Financial intermediation, banking regulation, credit ratings, estimating default probabilities, credit default swaps, concentration risk, securitization. Methods: Excel case studies.
  • Risk Management
  • LMU Munich, Winter 2014
  • Topics: Financial options, binomial option pricing model, Black-Scholes option pricing model, insurance, hedging of commodity price risk, exchange rate risk, and interest rate risk. Methods: Excel case studies.
  • Seminar “The Theory of Going Public”
  • LMU Munich, Summer 2016
  • Topics: Theoretical models of the decision to go public. Methods: Monte Carlo simulation, research presentation.
  • Seminar “Endogeneity in Empirical Corporate Finance”
  • LMU Munich, Winter 2011, 2015, Summer 2014
  • Topics: Omitted variables bias, simultaneity, measurement error. Methods: Monte Carlo simulation, research presentation.

Executive Level

  • Financial Training
  • InvestmentDataServices GmbH (Allianz SE), Every Fall/Spring, 2015 – present
  • Topics: Time value of money, equity valuation, portfolio selection and CAPM, bond valuation, term structure of interest rates, derivatives. Methods: Excel case studies.

Other

  • Fundamentals of Finance: Equity 
  • Goethe Business School, Executive Level, Lecture, Spring 2016
  • Financial Management 
  • EM Lyon, Graduate Level, Tutorial, Fall 2015
  • Principles of Corporate Finance (Investition und Finanzierung
  • LMU Munich, Undergraduate Level, Course held in German,  Winter 2012
  • Financial Analysis Using MATLAB 
  • LMU Munich, Undergraduate Level, Lecture, Winter 2007