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Modeling FX Rate with a Novel Heavy Tail Distribution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F20%3A00374208" target="_blank" >RIV/68407700:21340/20:00374208 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling FX Rate with a Novel Heavy Tail Distribution

  • Original language description

    An appropriate model of the distribution of returns of exchange rates is important pricing, risk management decisions, and portfolio allocations. Several models have been applied to them so far. However, the results have not been totally satisfactory. To amend the current state, we propose the use of a novel distribution for modeling the returns of exchange rates. This distribution originates from generalized gamma distribution which is regularized and symmetrized to make it fit for return modeling. After these adjustment, the distribution is smooth, differentiable and defined in the whole real domain. It can also capture the well-known heavy tail property of financial asset returns. The suitability of this model is verified on the returns of USD/EUR exchange rate. Verification is performed in an innovative way so that the results can be usable in practical financial engineering. The results of the testing show a promising applicability perspective of this novel distribution.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    Proccedings of 38th Int. Conf. MME 2020

  • ISBN

    978-80-7509-734-7

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    326-331

  • Publisher name

    Provozně ekonomická fakulta

  • 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

    000668460800050