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Numerical Pricing of American Lookback Options with Continuous Sampling of the Maximum

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F20%3A10247790" target="_blank" >RIV/61989100:27510/20:10247790 - isvavai.cz</a>

  • Alternative codes found

    RIV/46747885:24510/20:00009603

  • Result on the web

    <a href="https://www.webofscience.com/wos/woscc/full-record/WOS:000668460800028" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:000668460800028</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Numerical Pricing of American Lookback Options with Continuous Sampling of the Maximum

  • Original language description

    Exotic options whose payoff depends on the extrema of the underlying asset over a certain period of time form a class of the lookback options. Moreover, the American constraint admits early exercise and thus these contingent claims have become increasingly popular hedging and speculation instrument over recent years. In this paper we restrict ourselves to the floating and fixed strike contracts with the continuously observed maximum only. Since no analytic formulae exist for this case, we follow a PDE approach. The corresponding American lookback option pricing problem leads to the parabolic partial differential inequality subject to a constraint, which can be handled by penalty techniques. As a result, we obtain an option pricing equation of the Black-Scholes type, where the path-dependent variable appears as a parameter only in the initial and boundary conditions. The numerical approach proposed is based on the modification of the discontinuous Galerkin method incorporating a penalty term that handles the early-exercise constraint. The capabilities of the numerical scheme are demonstrated within a simple empirical study on the reference experiments.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

    <a href="/en/project/GA18-13951S" target="_blank" >GA18-13951S: New approaches to financial time series modelling based on soft computing</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    38th International Conference on Mathematical Methods in Economics (MME 2020) : conference proceedings : September 9-11, 2020, Mendel University in Brno, Czech Republic

  • ISBN

    978-80-7509-734-7

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    186-192

  • Publisher name

    Mendel University in Brno

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Sep 9, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000668460800028