Molina Barreto, Andrés Mauricio and Jiménez Moscoso, José Alfredo (2014): Valoración de derivados europeos con mixtura de distribuciones Weibull. Published in: Cuadernos de Economía , Vol. 65, No. 34 (1 July 2015): pp. 279-298.
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Abstract
The Black-Scholes valuation model for European options is widely used in the stock markets due to its easy implementation. However, the model is not accurate for different assets whose dynamics do not follow those of a lognormal distribution, so it is necessary to investigate new distributions to price different options written on various underlying assets. Several researchers have worked on new valuation formulas, assuming different distributions for either the price of the underlying asset or for the return of the same. This paper presents two methods for European derivatives valuation, one of them, modifying the formula using a Weibull distribution with two parameters given by Savickas (2002) adding two new parameters (scale and location), and another assuming that the underlying distribution is a Weibull mixture. Comparisons are also presented with these models against existing models such as the Black-Scholes model and Savickas with a simple Weibull distribution.
Item Type: | MPRA Paper |
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Original Title: | Valoración de derivados europeos con mixtura de distribuciones Weibull |
English Title: | Valuation for European derivatives with mixture-Weibull distributions |
Language: | Spanish |
Keywords: | Weibull distribution, mixture of Weibull, valuation, European options |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C69 - Other G - Financial Economics > G1 - General Financial Markets > G13 - Contingent Pricing ; Futures Pricing |
Item ID: | 118572 |
Depositing User: | Professor José Alfredo Jiménez-Moscoso |
Date Deposited: | 18 Sep 2023 07:39 |
Last Modified: | 18 Sep 2023 07:39 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/118572 |