All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

On Optimization Techniques for Calibration of Stochastic Volatility Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43923420" target="_blank" >RIV/49777513:23520/14:43923420 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Optimization Techniques for Calibration of Stochastic Volatility Models

  • Original language description

    The aim of this paper is to study stochastic volatility (SV) models and their calibration to real market data. This task is formulated as the optimization problem and several optimization techniques are compared and used in order to minimize the difference between the observed market prices and the model prices. At first we demonstrate the complexity of the calibration process on the popular Heston model and we show how well the model can fit a particular set of market prices. This is ensured by using adeterministic grid which eliminates the initial guess sensitivity specific to this problem. The same level of errors can be reached by employing optimization techniques introduced in the paper, while also preserving time efficiency. We further apply thesame calibration procedures to the recent fractional stochastic volatility model, which is a jump-diffusion model of market dynamics with approximative fractional volatility. The novelty of this paper is especially in showing how the pro

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-11559S" target="_blank" >GA14-11559S: Analysis of Fractional Stochastic Volatility Models and their Grid Implementation</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Applied Numerical Mathematics and Scientific Computation

  • ISBN

    978-1-61804-253-8

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    34-40

  • Publisher name

    Europment

  • Place of publication

    Athens

  • Event location

    Athens, Greece

  • Event date

    Nov 28, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article