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An empirical assestment of fuzzy Black and Scholes pricing option model in Spanish stock option market

  • Datos identificativos

    Identificador: imarina:5133025
    Autores:
    de Andrés-Sánchez, J.
    Resumen:
    The main objective of this paper is assessing the empirical performance of fuzzy extension to Black-Scholes option pricing formula (FBS). Concretely we evaluate the goodness of the FBS predictions for traded prices of options on the Spanish stock index IBEX35 during March 2017. We firstly propose a procedure to fit, from real data, the fuzzy parameters to implement FBS in stock options: price of the subjacent asset, free discount rate and stock volatility. Subsequently we evaluate the capability of FBS to include actual traded prices and whether this capability depends on option moneyness and expiration date. We find that FBS fits quite well actual traded prices. However, generally most representative market prices (closing and medium) are not better fitted than those more extreme (minimum and maximum). We have also check that the goodness of the FBS predictions often depends on the moneyness grade and the expiration date of options.
  • Otros:

    Autor según el artículo: de Andrés-Sánchez, J.
    Departamento: Gestió d'Empreses
    Autor/es de la URV: De Andrés Sànchez, Jorge
    Resumen: The main objective of this paper is assessing the empirical performance of fuzzy extension to Black-Scholes option pricing formula (FBS). Concretely we evaluate the goodness of the FBS predictions for traded prices of options on the Spanish stock index IBEX35 during March 2017. We firstly propose a procedure to fit, from real data, the fuzzy parameters to implement FBS in stock options: price of the subjacent asset, free discount rate and stock volatility. Subsequently we evaluate the capability of FBS to include actual traded prices and whether this capability depends on option moneyness and expiration date. We find that FBS fits quite well actual traded prices. However, generally most representative market prices (closing and medium) are not better fitted than those more extreme (minimum and maximum). We have also check that the goodness of the FBS predictions often depends on the moneyness grade and the expiration date of options.
    Áreas temáticas: Statistics and probability Interdisciplinar General engineering Ensino Engineering (miscellaneous) Engineering (all) Engenharias iv Engenharias iii Economia Computer science, artificial intelligence Ciências ambientais Ciência da computação Biotecnología Artificial intelligence Administração pública e de empresas, ciências contábeis e turismo
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: jorge.deandres@urv.cat jorge.deandres@urv.cat
    Identificador del autor: 0000-0002-7715-779X 0000-0002-7715-779X
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Enlace a la fuente original: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs17719
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Journal Of Intelligent & Fuzzy Systems. 33 (4): 2509-2520
    Referencia de l'ítem segons les normes APA: de Andrés-Sánchez, J. (2017). An empirical assestment of fuzzy Black and Scholes pricing option model in Spanish stock option market. Journal Of Intelligent & Fuzzy Systems, 33(4), 2509-2520. DOI: 10.3233/JIFS-17719
    DOI del artículo: 10.3233/JIFS-17719
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2017
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Artificial Intelligence,Computer Science, Artificial Intelligence,Engineering (Miscellaneous),Statistics and Probability
    Statistics and probability
    Interdisciplinar
    General engineering
    Ensino
    Engineering (miscellaneous)
    Engineering (all)
    Engenharias iv
    Engenharias iii
    Economia
    Computer science, artificial intelligence
    Ciências ambientais
    Ciência da computação
    Biotecnología
    Artificial intelligence
    Administração pública e de empresas, ciências contábeis e turismo
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