BIROn - Birkbeck Institutional Research Online

    Options on realized variance and convex orders

    Carr, P. and Geman, Hélyette and Madan, D.B. and Yor, M. (2010) Options on realized variance and convex orders. Quantitative Finance 11 (11), pp. 1685-1694. ISSN 1469-7688.

    [img]
    Preview
    Text
    1947.pdf - Draft Version

    Download (461kB) | Preview

    Abstract

    Realized variance option and options on quadratic variation normalized to unit expectation are analysed for the property of monotonicity in maturity for call options at a fixed strike. When this condition holds the risk-neutral densities are said to be increasing in the convex order. For Leacutevy processes, such prices decrease with maturity. A time series analysis of squared log returns on the S&P 500 index also reveals such a decrease. If options are priced to a slightly increasing level of acceptability, then the resulting risk-neutral densities can be increasing in the convex order. Calibrated stochastic volatility models yield possibilities in both directions. Finally, we consider modeling strategies guaranteeing an increase in convex order for the normalized quadratic variation. These strategies model instantaneous variance as a normalized exponential of a Leacutevy process. Simulation studies suggest that other transformations may also deliver an increase in the convex order.

    Metadata

    Item Type: Article
    Additional Information: Published online first
    Keyword(s) / Subject(s): Equity options, Levy process, mathematical finance, stochastic volatility, stochastic processes
    School: Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School
    Research Centres and Institutes: Commodities Finance Centre
    Depositing User: Administrator
    Date Deposited: 02 Dec 2010 08:34
    Last Modified: 02 Aug 2023 16:51
    URI: https://eprints.bbk.ac.uk/id/eprint/1947

    Statistics

    Activity Overview
    6 month trend
    868Downloads
    6 month trend
    418Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item
    Edit/View Item