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Exploring chaos and sensitivity in the Ivancevic option pricing model through perturbation analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F24%3A10256077" target="_blank" >RIV/61989100:27740/24:10256077 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0312805" target="_blank" >https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0312805</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1371/journal.pone.0312805" target="_blank" >10.1371/journal.pone.0312805</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exploring chaos and sensitivity in the Ivancevic option pricing model through perturbation analysis

  • Original language description

    This study explores the Ivancevic Option Pricing Model, a nonlinear wave-based alternative to the Black-Scholes model, using adaptive nonlinear Schrödingerr equations to describe the option-pricing wave function influenced by stock price and time. Our focus is on a comprehensive analysis of this equation from multiple perspectives, including the study of soliton dynamics, chaotic patterns, wave structures, Poincaré maps, bifurcation diagrams, multistability, Lyapunov exponents, and an in-depth evaluation of the model&apos;s sensitivity. To begin, a wave transformation is applied to convert the partial differential equation into an ordinary differential equation, from which soliton solutions are derived using the (Formular Presented) method. We explore various forms of the option price function at different time points, including singular-kink, periodic, hyperbolic, trigonometric, exponential, and complex solutions. Furthermore, we simulate 3D surface plots and 2D graphs for the real, imaginary, and modulus components of some of the obtained solutions, assigning specific parameter values to enhance visualization. These graphical representations offer valuable insights into the dynamics and patterns of the solutions, providing a clearer understanding of the model&apos;s behavior and potential applications. Additionally, we analyze the system&apos;s dynamic behavior when a perturbing force is introduced, identifying chaotic patterns using the Lyapunov exponent, Sensitivity, multistability analysis, RK4 method, wave structures, bifurcation diagrams, and Poincaré maps.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10100 - Mathematics

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    PLoS One

  • ISSN

    1932-6203

  • e-ISSN

    1932-6203

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    35

  • Pages from-to

  • UT code for WoS article

    001364424600041

  • EID of the result in the Scopus database

    2-s2.0-85210364629