Research on joint risk control of dynamic pledge based on GARCH model

Jin Xu
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Abstract

The dynamic pledge financing mode in logistics finance can effectively solve the financing difficulties of SMES, but it has some complexity in process control and risk management. In this study, pledge rate and warning value are selected as the joint control risk indicators of this model. By analogy with the phenomenon of “sharp peak and thick tail” in financial asset return series, GARCH model is introduced into VaR to measure long-term price risk. The effectiveness of the VaR model based on t-distribution and GED-distribution was compared, and ARIMA model was used to predict the discounted value of the pledge, so as to calculate the pledge rate and early-warning value consistent with the risk tolerance of the bank. Thus, the process of accurately measuring the risk index was provided for the relevant parties, and the risk management of dynamic pledge financing was optimized.
基于GARCH模型的动态质押联合风险控制研究
物流金融中的动态质押融资模式可以有效解决中小企业融资难的问题,但在过程控制和风险管理方面存在一定的复杂性。本研究选择质押率和预警值作为该模型的联合控制风险指标。类比金融资产收益序列中的“尖峰粗尾”现象,在VaR中引入GARCH模型来度量长期价格风险。比较了基于t分布的VaR模型和基于ged分布的VaR模型的有效性,并利用ARIMA模型预测质押的贴现值,从而计算出与银行风险承受能力相一致的质押率和预警值。从而为相关方提供准确测算风险指标的流程,优化动态质押融资的风险管理。
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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