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Bimodality testing of the stochastic cusp model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00507386" target="_blank" >RIV/67985556:_____/15:00507386 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/15:10320974

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bimodality testing of the stochastic cusp model

  • Original language description

    Multimodal distributions are popular in many areas: biology (fish and shark population), engineering (material collapse under pressure, stability of ships), psychology (attitude transitions), physics (freezing of water) etc. There were a few attempts to utilize multimodal distributions in financial mathematics as well. Cobb et al. described a class of multimodal distributions belonging to the exponential family, which has unique maximum likelihood estimators and showed a connection to the stationary distribution of the stochastic cusp catastrophe model. Moreover was shown, how to identify bimodality for given parameters of the stochastic cusp model using the sign of Cardans discriminant. A statistical test for bimodality of the stochastic cusp model using maximum likelihood estimates is proposed in the paper as well as the necessary condition for bimodality which can be used for s simplified testing to reject bimodality. By proposed methods is tested the bimodality of exchange rate between USD and GBP in the periods within the years 1975 - 2014.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Procedings of the 33rd International Conference Mathematical Methods in Economics MME 2015

  • ISBN

    978-80-261-0539-8

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    888-893

  • Publisher name

    University of West Bohemia, Plzeň

  • Place of publication

    Plzeň

  • Event location

    Cheb

  • Event date

    Sep 9, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000387898900152