Super-replication in stochastic volatility models under portfolio constraints

Jakša Cvitanić, Huyên Pham, Nizar Touzi

Research output: Contribution to journalArticlepeer-review

Abstract

We study a financial market with incompleteness arising from two sources: stochastic volatility and portfolio constraints. The latter are given in terms of bounds imposed on the borrowing and short-selling of a 'hedger' in this market, and can be described by a closed convex set K. We find explicit characterizations of the minimal price needed to super-replicate European-type contingent claims in this framework. The results depend on whether the volatility is bounded away from zero and/or infinity, and also, on if we have linear dynamics for the stock price process, and whether the volatility process depends on the stock price. We use a previously known representation of the minimal price as a supremum of the prices in the corresponding shadow markets, and we derive a PDE characterization of that representation.

Original languageEnglish (US)
Pages (from-to)523-545
Number of pages23
JournalJournal of Applied Probability
Volume36
Issue number2
DOIs
StatePublished - Jun 1999

Keywords

  • Hedging options
  • Portfolio constraints
  • Stochastic volatility
  • Viscosity solutions

ASJC Scopus subject areas

  • Statistics and Probability
  • General Mathematics
  • Statistics, Probability and Uncertainty

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