Browsing by Author "Peng, Bin"
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Item Metadata only Pricing arithmetic Asian options under the CEV process(Universidad ESAN. ESAN Ediciones, 2010-12-30) Peng, Bin; Peng, FeiThis paper discusses the pricing of arithmetic Asian options when the underlying stock follows the constant elasticity of variance (CEV) process. We build a binomial tree method to estimate the CEV process and use it to price arithmetic Asian options. We find that the binomial tree method for the lognormal case can effectively solve the computational problems arising from the inherent complexities of arithmetic Asian options when the stock price follows CEV process. We present numerical results to demonstrate the validity and the convergence of the approach for the different parameter values set in CEV process.Item Metadata only Pricing Asian power options under jump-fraction process(Universidad ESAN. ESAN Ediciones, 2012-12-30) Peng, Bin; Peng, FeiA framework for pricing Asian power options is developed when the underlying asset follows a jump-fraction process. The partial differential equation (PDE) in the fractional environment with jump is constructed for such option using general Itô's lemma and self-financing dynamic strategy. With the boundary condition an analytic formula for the option with geometric average starting at any time before maturity is derived by solving the PDE and the option with arithmetic average is evaluated in Monte Carlo simulation using control variate technique with the help of the above analytic solution. Overwhelming numerical evidence indicates that the technique proposed is computationally efficient and dramatically improves the accuracy of the simulated price. Moreover this study will pave a novel way to copy with the option contracts based on thinly-traded assets like oil or currencies or interest rates.Item Metadata only Pricing maximum-minimum bidirectional options in trinomial CEV model(Universidad ESAN. ESAN Ediciones, 2016-12-01) Peng, Bin; Peng, FeiMaximum-minimum bidirectional options are a kind of exotic path dependent options. In the constant elasticity of variance (CEV) model a combining trinomial tree was structured to approximate the nonconstant volatility that is a function of the underlying asset. On this basis a simple and efficient recursive algorithm was developed to compute the risk-neutral probability of each different node for the underlying asset reaching a maximum or minimum price and the total number of maxima (minima) in the trinomial tree. With help of it the computational problems can be effectively solved arising from the inherent complexities of different types of maximum-minimum bidirectional options when the underlying asset evolves as the trinomial CEV model. Numerical results demonstrate the validity and the convergence of the approach mentioned above for the different parameter values set in the trinomial CEV model.