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Efficient and high accuracy pricing of barrier options under the CEV diffusion

机译:CEV扩散下障碍期权的高效,高精度定价

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Binomial and trinomial lattices are popular techniques for pricing financial options. These methods work well for European and American options, but for barrier options, the need to place a tree node very close to a barrier brings difficulties in their implementation and a large number of time steps are usually required when the barrier is close to the current asset price. A finite difference implementation is simpler and we propose a fourth-order numerical scheme for continuously and discretely monitored barriers. We demonstrate the superior performance of our technique over existing procedures for the Black-Scholes model and we then price barriers under constant elasticity of variance (CEV) diffusion. Continuously monitored barriers under CEV admit an analytical solution but evaluation via this formula is not straightforward. Furthermore, discretely monitored barriers have to be priced numerically. Our main contribution is therefore a highly accurate and efficient numerical scheme for barrier options under CEV and we provide several numerical examples to illustrate the merit of the new technique.
机译:二项式和三项式格是用于对财务期权定价的流行技术。这些方法对于欧洲和美洲选项很有效,但是对于障碍选项,需要将树节点放置在非常靠近障碍的位置会给实现它们带来困难,并且当障碍接近当前障碍时,通常需要大量的时间步长资产价格。有限差分的实现较为简单,我们针对连续和离散监视的障碍提出了四阶数值方案。我们证明了我们的技术优于现有的Black-Scholes模型程序的性能,然后我们在恒定的方差弹性(CEV)扩散下定价了壁垒。在CEV下连续监控障碍物可以采用分析解决方案,但通过此公式进行评估并不简单。此外,离散监测的障碍必须按数字定价。因此,我们的主要贡献是为CEV下的障碍物选择提供了一种高度准确和高效的数值方案,并且我们提供了几个数值示例来说明该新技术的优点。

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