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Developing a java android application of KMV-Merton default rate model

机译:开发KMV-Merton默认速率模型的Java Android应用

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This paper presents a developed java android application for KMV-Merton model in predicting the defaut rate of a firm. Predicting default rate is essential in the risk management area as default risk can be immediately transmitted from one entity to another entity. This is the reason default risk is known as a global risk. Although there are several efforts, instruments and methods used to manage the risk, it is said to be insufficient. To the best of our knowledge, there has been limited innovation in developing the default risk mathematical model into a mobile application. Therefore, through this study, default risk is predicted quantitatively using the KMV-Merton model. The KMV-Merton model has been integrated in the form of java program using the Android Studio Software. The developed java android application is tested by predicting the levels of default risk of the three different rated companies. It is found that the levels of default risk are equivalent to the ratings of the respective companies. This shows that the default rate predicted by the KMV-Merton model using the developed java android application can be a significant tool to the risk mangement field. The developed java android application grants users an alternative to predict level of default risk within less procedure.
机译:本文介绍了用于KMV-Merton模型的开发Java Android应用程序,以预测公司的Defaut率。预测默认速率在风险管理区域中是必不可少的,因为默认风险可以立即从一个实体从一个实体传输到另一个实体。这就是违约风险被称为全球风险的原因。虽然有几种努力,用于管理风险的仪器和方法,但据说不足。据我们所知,在将默认风险数学模型开发到移动应用程序中,有限创新。因此,通过本研究,使用KMV-Merton模型定量地预测默认风险。使用Android Studio软件以Java程序的形式集成了KMV-Merton模型。通过预测三个不同额定公司的违约风险水平来测试开发的Java Android应用程序。结果发现违约风险的水平相当于各国公司的评级。这表明使用开发的Java Android应用程序预测的默认速率可以是风险管理领域的重要工具。开发的Java Android应用程序授予用户在更少的过程中预测默认风险水平的替代方案。

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