• Graduate Program
    • Why study Business Data Science?
    • Program outline
    • Courses
    • Course registration
    • Admissions
    • Facilities
  • Research
  • News
  • Events
    • Summer School
      • Summer school
      • Deep Learning
      • Econometrics and Data Science Methods for Business, Economics and Finance
      • Foundations of Machine Learning with Applications in Python
      • Networks in Micro- and Macroeconomics
      • Tinbergen Institute Summer School Program
    • Events Calendar
    • Events archive
    • Conference: Consumer Search and Markets
    • Tinbergen Institute Lectures
  • Summer School
  • Alumni
Home | Courses | Asset Pricing
Course

Asset Pricing


  • Teacher(s)
    Roger Laeven, Michel Vellekoop
  • Research field
    -
  • Dates
    Period 3 - Jan 02, 2023 to Feb 24, 2023
  • Course type
    Core
  • Program year
    First
  • Credits
    4

Course description

This course provides an introductory yet comprehensive and rigorous treatment of modern asset pricing theory. Asset pricing is concerned with determining the value of an uncertain future payoff. Equivalently, it is concerned with explaining (variation in) expected returns on risky assets. It covers the following topics:
1. Expected utility, risk aversion and single period portfolio choice;
2. Mean-variance analysis and CAPM;
3. Multifactor pricing models;
4. Stochastic discount factors and the Fundamental Theorem of Asset Pricing;
5. Dynamic programming and pricing in incomplete markets;
6. Derivatives;
7. Stochastic calculus.

Course literature

Primary reading
Selected chapters from:
P: Pennacchi, G. (2008). Theory of Asset Pricing Addison-Wesley.
CLM: Campbell, J., Lo, A., MacKinley, A.C., 1997, The Econometrics of Financial Markets, Princeton University Press.
Selected articles and lecture notes and other material, to be made available via Canvas.
Further Reading
Selected chapters from:
C: Cochrane, J. (2005). Asset Pricing (revised edition), Princeton University Press.