Option Pricing Incorporating Factor Dynamics in Complete Markets

Yuan Hu, Abootaleb Shirvani, W. Brent Lindquist, Frank J. Fabozzi, Svetlozar T. Rachev

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Using the Donsker–Prokhorov invariance principle, we extend the Kim–Stoyanov–Rachev–Fabozzi option pricing model to allow for variably-spaced trading instances, an important consideration for short-sellers of options. Applying the Cherny–Shiryaev–Yor invariance principles, we formulate a new binomial path-dependent pricing model for discrete- and continuous-time complete markets where the stock price dynamics depends on the log-return dynamics of a market influencing factor. In the discrete case, we extend the results of this new approach to a financial market with informed traders employing a statistical arbitrage strategy involving trading of forward contracts. Our findings are illustrated with numerical examples employing US financial market data. Our work provides further support for the conclusion that any option pricing model must preserve valuable information on the instantaneous mean log-return, the probability of the stock’s upturn movement (per trading interval), and other market microstructure features.

Original languageEnglish
Article number321
JournalJournal of Risk and Financial Management
Volume13
Issue number12
DOIs
StatePublished - Dec 2020

Keywords

  • Cherny–Shiryaev–Yor invariance principle
  • Donsker–Prokhorov invariance principle
  • informed traders
  • path-dependent binomial option pricing
  • statistical arbitrage based on forward contracts

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