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Empirical Asset Pricing (C20)

Empirical Asset Pricing (C20)

Module Coordinator/Lecturers
Project Description
Asset pricing is the process of determining the fair value of financial assets. It involves using various financial theories and models to estimate the price of these assets based on factors like time discounting, future cash flows, interest rates, and risk. By analysing historical data, empirical asset pricing seeks to validate or refine theories about how prices are set, how risks are compensated, and how various factors influence asset prices. Ultimately, it aims to enhance our understanding of financial markets and improve investment strategies.
Key topics covered are:
  • Efficient Markets and the Valuation of Assets
  • The Capital Asset Pricing Model (CAPM)
  • Empirical Validation of the CAPM
  • The Arbitrage Pricing Theory
  • Multi Factor Models and Anomalies
  • Pricing of Alternative Asset Classes
  • Predictability in Financial Markets
Teaching Method
  • Lectures
  • Asset pricing exercises
  • Asset pricing project
  • Short paper presentation
Learning Results
After successful completion of the course, students will
Professional competence
  • understand cornerstones of asset pricing theory.
  • apply crucial empirical methods to validate or challenge the fundamental theory.
  • understand the concepts of market efficiency, risk factors, and the impact of investor behaviour on asset prices.
  • evaluate the correct pricing of assets.
  • recognize the challenges of outperforming the market.
Methodological competence
  • estimate and evaluate expected returns.
  • apply empirical asset pricing methods to realistic scenarios in R.
  • evaluate a model’s asset pricing performance.
Social competence
  • collaborate effectively in an asset pricing project.
  • develop and enhance presentation skills.
Assessment Methods
Short paper presentation (10%), Written exam (60%), Empirical asset pricing project (30%); Attendance is mandatory (80%)
Module number:
6112750
ECTS Credits:
3
Courses:
28 L / 21 h
Self-study:
69 h
Scheduled Semester:
2