Multivariate asset price dynamics with stochastic covariation

Julian Williams, Christos Ioannidis

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Stochastic volatility models such as those of Heston [Rev. Financial Stud., 1993, 6(2), 327-343] and Hull and White [J. Finance, 1987, 42(2), 281-300] are often used to model volatility risk in the pricing and hedging of contingent claims on risky assets. Recent empirical evidence has shown that these models under general specifications often do not fully capture the volatility dynamics observed in situ. This paper provides an analytical demonstration of the consequences of multivariate stochastic covariation on the pricing of contingent claims and suggests a hedging strategy for full delta neutrality.
Original languageEnglish
Pages (from-to)125-134
Number of pages10
JournalQuantitative Finance
Volume11
Issue number1
DOIs
Publication statusPublished - Jan 2011

Keywords

  • applied mathematical finance
  • asset pricing
  • empirical finance
  • empirical time series analysis

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