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Interval Pricing Study of Deposit Insurance in China

机译:中国存款保险的间隔定价研究

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This paper first proposes a European option pricing method for deposit insurance based on triangular intuitionistic fuzzy numbers. In the proposed method, we take into account the randomness and fuzziness of bank asset value simultaneously, and hence, the method can adequately reflect the high uncertainty of bank asset value. This method fuzzifies the value of bank asset, resubmits it into the original deposit insurance option pricing model as a fuzzy random variable, and then gives an analytic formula of deposit insurance rates using a risk-neutral method. After this, we have also conducted a numerical analysis. In specific, we have obtained the premium interval and presented the static analysis of key parameters. Finally, seven small- and middle-sized banks in Hunan Province in China are used as examples to validate the proposed interval pricing model. The Black-Scholes option pricing model and Yoshida’s triangular fuzzy model are also employed for comparison. The research results show that the interval rates obtained from the proposed European option pricing method for deposit insurance can better reflect the uncertainty of bank asset evaluation than the fixed rates obtained from the Black-Scholes option pricing model. Moreover, the model proposed in this paper is also superior to Yoshida’s model in practice.
机译:本文首先提出了基于三角直觉模糊数的存款保险欧洲期权定价方法。在该方法中,我们同时考虑了银行资产价值的随机性和模糊性,因此,该方法可以充分反映银行资产价值的高不确定性。该方法模糊了银行资产的价值,将其重新提交进入原始存款保险期权定价模型作为模糊的随机变量,然后使用风险中性方法给出存款保险费率的分析公式。在此之后,我们还进行了数值分析。具体而言,我们获得了优质的间隔,并提出了关键参数的静态分析。最后,中国湖南省的七个小型和中型银行被用作验证建议的区间定价模型。 Black-Scholes选项定价模型和Yoshida的三角模糊模型也用于比较。研究结果表明,从拟议的欧洲期权定价方法获得的存款保险方法中获得的间隔率可以更好地反映银行资产评估的不确定性,而不是来自黑人学术期权定价模型的固定税率。此外,本文提出的模型在实践中也优于吉士达的模型。

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