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Alternative methods to estimate the State Price Density

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F15%3A86095995" target="_blank" >RIV/61989100:27510/15:86095995 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Alternative methods to estimate the State Price Density

  • Original language description

    In this paper, we propose different approaches to estimate the state price density under the classical hypothesis of the Black and Scholes model. In particular, we use the nonparametric approaches based on kernel and on the conditional expectation estimators. Firstly, we examine the real mean return function using local polynomial smoothing technique. Then, we evaluate the conditional expectation using the real probability density. According the hypothesis of the Black and Scholes model, we are able toderive a closed formula for approximating the conditional expectation with the risk neutral probability. Finally, we propose a comparison among two estimators of the state price density.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

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

    Mathematics and Computers in Sciences and in Industry : Second international konference : proceedings : August 17-19, 2015, Sliema, Malta

  • ISBN

    978-1-4799-8673-6

  • ISSN

  • e-ISSN

  • Number of pages

    3

  • Pages from-to

    244-246

  • Publisher name

    IEEE

  • Place of publication

    Vienna

  • Event location

    Sliema

  • Event date

    Aug 17, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article