An optimal multi-step quadratic risk-adjusted hedging strategy

Shih Feng Huang, Meihui Guo

Research output: Contribution to journalArticlepeer-review

Abstract

An optimal multi-step hedging strategy is proposed to minimize one's exposure to risk. The proposed strategy, called the QRA-hedging, is based on the minimization of the quadratic risk-adjusted hedging costs and extends the result of Elliott and Madan (1998) to the multi-step case. The multi-step QRA-hedging cost is proved to be the same as the no-arbitrage price derived by the extended Girsanov principle. The QRA-hedging strategy is investigated under complete and incomplete market models. A regression-based method is proposed to estimate the QRA-hedging positions. And a dynamic programming is developed to facilitate computation of the QRA-hedging strategy. Simulation and empirical studies are performed to compare the QRA with other hedging strategies under complete and incomplete market models.

Original languageEnglish
Pages (from-to)37-49
Number of pages13
JournalJournal of the Korean Statistical Society
Volume42
Issue number1
DOIs
StatePublished - Mar 2013

Keywords

  • Discrete time hedging
  • Extended Girsanov principle
  • Multi-step hedging
  • Quadratic risk minimization
  • Risk-adjusted criterion

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