Pricing and Hedging Techniques in Incomplete Markets: Mean-Variance Hedging and Risk Minimization
Dr. Yinglin Zhang
Schedule and Venue
| Event | Date/Time | Room |
|---|---|---|
| Seminar Dr. Yinglin Zhang | Thu 16-18 First seminar: Thursday 25th April | Online |
Pre-registration is mandatory via email to zhang@math.lmu.de including your name, student ID, study field and Studienordnung. The seminar will be held remotely. Further information will be announced by email shortly before the first session.
Among numerous techniques for pricing and hedging in incomplete markets, this seminar shows Mean-Variance Hedging and Risk Minimization approaches, both based on a quadratic condition and on the consequent orthogonal projection of semimartingales. After an introduction of semimartingales, pricing and hedging problem by using these techniques is firstly formulated for a single contingent claim, then extended to a multidimensional setting and to payment streams.
- Philip E. Protter, Stochastic Integration and Differential Equations (Springer, 2005). Chapters:
- II. Semimartingales and Stochastic Integrals
- III. Semimartingales and Decomposable Processes
- IV. General Stochastic Integration and Local Times
- M. Schweizer, A guided tour through quadratic hedging approaches (In Option Pricing, Interest Rates and Risk Management, pages 538-574, Cambridge University Press, 2001)
- M. Schweizer, Local risk-minimization for multidimensional assets and payment streams (Banach Center Publications, 83:213-229, 2008)
Target Participants: Students of the Master in Mathematics or in Financial and Insurance Mathematics.
Pre-requisites: Probability Theory, Financial Mathematics I+II
Applicable credits: 3 ECTS