二叉树定价模型虽然适合各种期权估价，但存在缺陷，如精度问题。
Binomial tree can be applied to pricing of all kinds of options, but it has a lot of flaws, such as accuracy.
二叉树期权定价模型；
在传统的二叉树模型上加以一定的改进，使其能更适合可转换债券的特点，从而对可转换债券的定价达到更高的准确度。
This paper improves binomial model in some aspects to make it more suitable to the properties of convertible bonds, then more accurate to pricing such a financial asset.
在这之后，把期权的B - S模型及二叉树模型应用于无形资产的价值评估中，并由此建立了无形资产的实物期权定价模型及其参数确定方法。
The B-S model and binary model are used in the evaluation of intangible asset and real option pricing model and identification of its parameters are formed accordingly.
接着对二叉树理论进行了详细介绍，并针对我国可转债的附加条款对传统的可转债二叉树模型进行了改进，提出了更符合现实市场操作的定价模型。
Then this paper gives a particular introduction of the Binomial Tree Model and improves it according to the additive terms of China which make it fit the actual market more.
其次，通过比较各种定价方法，并结合国内市场的实际状况，选择二叉树模型来为可转换债券定价。
Secondly, selects the binomial tree model for pricing convertible bonds by comparing a variety of pricing methods and combining with the actual situation of the domestic market.
然后通过对传统的可转债的定价方法的比较得出二叉树模型在可转债定价中具有很强的实用性。
After compared with other traditional pricing methods, find out that the Binomial Tree Model is more effective in Convertible Bonds pricing.
实证结果表明，EQP型二叉树模型和新型二叉树参数模型下的CV-CRR方法是一种收敛的、高效率、高精度的数值定价方法。
Positive results showed that, the CV-CRR method under the EQP-binary tree model and new binary tree parameters is a convergence, high-efficiency, high-precision numerical pricing method.
实证结果表明，EQP型二叉树模型和新型二叉树参数模型下的CV-CRR方法是一种收敛的、高效率、高精度的数值定价方法。
Positive results showed that, the CV-CRR method under the EQP-binary tree model and new binary tree parameters is a convergence, high-efficiency, high-precision numerical pricing method.
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