2000
DOI: 10.1142/s0219024900000814
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Constant Elasticity of Variance Option Pricing Model With Time-Dependent Parameters

Abstract: This paper provides a method for pricing options in the constant elasticity of variance (CEV) model environment using the Lie-algebraic technique when the model parameters are time-dependent. Analytical solutions for the option values incorporating time-dependent model parameters are obtained in various CEV processes with different elasticity factors. The numerical results indicate that option values are sensitive to volatility term structures. It is also possible to generate further results using various func… Show more

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Cited by 55 publications
(33 citation statements)
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“…doi:10.1016/j.insmatheco.2009.01.005 is negative. The CEV model was usually applied to calculating the theoretical price, sensitivities and implied volatility of options, see e.g., Cox (1996), Lo et al (2000), Davydov and Linetsky (2001), Detemple and Tian (2002), Yuen et al (2001), Jones (2003) and Widdicks et al (2005). Recently, however, Xiao et al (2007) began to apply the CEV model to the pension investment and derived the dual solution for the logarithm utility via a Legendre transform and dual theory.…”
Section: Introductionmentioning
confidence: 99%
“…doi:10.1016/j.insmatheco.2009.01.005 is negative. The CEV model was usually applied to calculating the theoretical price, sensitivities and implied volatility of options, see e.g., Cox (1996), Lo et al (2000), Davydov and Linetsky (2001), Detemple and Tian (2002), Yuen et al (2001), Jones (2003) and Widdicks et al (2005). Recently, however, Xiao et al (2007) began to apply the CEV model to the pension investment and derived the dual solution for the logarithm utility via a Legendre transform and dual theory.…”
Section: Introductionmentioning
confidence: 99%
“…Note that in the CEV model the elasticity parameterβ is a negative which has been examined by many authors (e.g., Beckers (1980), Schroder (1989, Cox (1996), Lo and Yuen (2000), Davydov and Linetsky (2001), Yuen et al (2001) and Jones (2003)), and then from Eq. (2.1), we see that the CEV model has the problem of a perpetually declining volatility with the stock increasing.…”
Section: An Extended Cev Modelmentioning
confidence: 99%
“…In comparison with other stochastic volatility models, the CEV model is easier to deal with analytically and the GBM model can be seen as its special case. The CEV model was usually applied for option pricing and sensitivity analysis of options in most literatures, see [16][17][18][19] for example. Recently, the CEV model has been applied in the research of optimal investment, as was done by Xiao, Zhai and Qin [20].…”
Section: Introductionmentioning
confidence: 99%