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Analysis of Fractional Stochastic Volatility Models and their Grid Implementation

Project goals

In this project we focus on the stochastic and numerical analysis of stochastic volatility models and their robust implementation in parallel and distributed environment. A special attention will be paid to models with fractional Brownian motion. We will study a long memory effect caused by fractional Brownian noise and its impact on the values of most common portfolio sensitivities. We will propose a suitable way to calibrate the fractional stochastic volatility jump-diffusion model from the real market data.

Keywords

stochastic differential equationsfractional Brownian motionnumerical methodsstochastic volatility modelslong memory effectcalibrationparallel and distributed computinggrid technologies

Public support

  • Provider

    Czech Science Foundation

  • Programme

    Standard projects

  • Call for proposals

    Standardní projekty 18 (SGA0201400001)

  • Main participants

    Západočeská univerzita v Plzni / Fakulta aplikovaných věd

  • Contest type

    VS - Public tender

  • Contract ID

    14-11559S

Alternative language

  • Project name in Czech

    Analýza frakcionálních modelů stochastické volatility a jejich implementace v gridu

  • Annotation in Czech

    V tomto projektu se zaměříme na modely stochastické volatility a jejich robustní implementace v paralelním a distribuovaném prostředí. Zvláštní pozornost bude věnována modelům s frakcionálním Brownovým pohybem. Budeme studovat paměťový efekt způsobený frakcionálním Brownovým šumem a jeho vliv na hodnoty nejběžnějších citlivostních charakteristik portfólia. Navrhneme vhodný způsob kalibrace modelu stochastické volatility se skoky na reálná tržní data.

Scientific branches

  • R&D category

    ZV - Basic research

  • CEP classification - main branch

    AH - Economics

  • CEP - secondary branch

    BA - General mathematics

  • CEP - another secondary branch

    BB - Applied statistics, operational research

  • 10101 - Pure mathematics
    10103 - Statistics and probability
    50201 - Economic Theory
    50202 - Applied Economics, Econometrics
    50203 - Industrial relations
    50204 - Business and management
    50205 - Accounting
    50206 - Finance

Completed project evaluation

  • Provider evaluation

    U - Uspěl podle zadání (s publikovanými či patentovanými výsledky atd.)

  • Project results evaluation

    Main contributions of the project are newly proposed modelling strategies for option pricing that are better suitable for real world data, numerical analysis, and isogeometric analysis in option pricing. Most of the theoretical and empirical results are under review at the end of the project. In case of successful publication of the results, project will deliver sound collection of results.

Solution timeline

  • Realization period - beginning

    Jan 1, 2014

  • Realization period - end

    Dec 31, 2016

  • Project status

    U - Finished project

  • Latest support payment

    Apr 12, 2016

Data delivery to CEP

  • Confidentiality

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

  • Data delivery code

    CEP17-GA0-GA-U/03:1

  • Data delivery date

    Jun 28, 2017

Finance

  • Total approved costs

    5,233 thou. CZK

  • Public financial support

    5,233 thou. CZK

  • Other public sources

    0 thou. CZK

  • Non public and foreign sources

    0 thou. CZK

Recognised costs

5 233 CZK thou.

Public support

5 233 CZK thou.

0%


Provider

Czech Science Foundation

CEP

AH - Economics

Solution period

01. 01. 2014 - 31. 12. 2016