An overview of survival analysis with an application in the credit risk environment

ORiON Pub Date : 2021-02-01 DOI:10.5784/36-2-690
M. Smuts, J. Allison
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引用次数: 3

Abstract

Survival analysis has become a popular technique to more accurately model the probability of default in the credit risk environment with the ultimate goal of finding the optimal price for credit. In this paper we present an overview of some of the basic concepts of survival analysis. The focus is specifically on the Cox Proportional Hazards (CPH) model and the mixture cure model, which is a general alternative to the CPH model. A detailed algorithm that can be used to simulate survival times (default times) from a mixture cure model is provided. A parametric CPH and mixture cure model are fitted to a simulated data set and the benefits of fitting the latter model are illustrated.
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概述生存分析及其在信用风险环境中的应用
生存分析已成为一种流行的技术,以更准确地模拟信用风险环境下的违约概率,最终目标是找到最优的信贷价格。在本文中,我们提出了一些生存分析的基本概念的概述。重点是考克斯比例风险(CPH)模型和混合固化模型,这是CPH模型的一般替代方案。提供了一种详细的算法,可用于模拟混合固化模型的生存时间(默认时间)。对模拟数据集拟合了参数化CPH和混合固化模型,并说明了拟合后一模型的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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