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Análisis del método de Monte Carlo para la valoración de opciones financieras

Authors: Hidalgo Castillo, José Antonio;

Análisis del método de Monte Carlo para la valoración de opciones financieras

Abstract

La valoración de opciones financieras es un problema central en las finanzas cuantitativas, siendo el modelo Black-Scholes (BS) uno de los marcos teóricos más utilizados. Este proyecto de investigación se centra en la estimación del valor de las opciones financieras mediante el método clásico de Monte Carlo. El objetivo es analizar su eficiencia teórica y compararla con escenarios financieros reales. Para ello, comenzamos introduciendo la teoría fundamental de la valoración de opciones y el modelo BS. A continuación, presentamos el método de Monte Carlo, destacando sus propiedades estadísticas y su comportamiento de convergencia. Finalmente, realizamos experimentos numéricos para comparar ambos enfoques en entornos controlados, analizando las compensaciones entre los recursos computacionales, las tasas de convergencia y la viabilidad de su implementación.

Treballs Finals del Grau de d'Administració i Direcció d'Empreses, Facultat d'Economia i Empresa, Universitat de Barcelona, Curs: 2025-2026 , Tutoria: Silvia Garcia Gonzalez

Country
Spain
Related Organizations
Keywords

Industrial management, Mathematical models, Direcció d'empreses, Bachelor's theses, Models matemàtics, Cost accounting, Treballs de fi de grau, Comptabilitat de costos

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average