The Ornstein-Uhlenbeck process to model the deposit volume of non-maturing assets in Colombia

Juan F. Rendón, Alfredo Trespalacios, Diana Pacheco
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Abstract

The accurate comprehension of the risk drivers of different depository institutions is the key to their sustainable operation. In this paper, we analyze two stochastic approaches to model Non-Maturing Assets (NMAs) employing an Ornstein–Uhlenbeck process that can be used for the evaluation of the liquidity and interest risk of savings accounts in banks. We detail the models’ specifications, parameters, and simulation results. Furthermore, we examine the regular patterns, throughout the year, of the behavior of the volume of deposits into saving accounts in Colombia, in line with the results of other researchers in different countries. Finally, we found that a trend term should be incorporated into the model to capture the growth of the series.
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利用Ornstein-Uhlenbeck过程对哥伦比亚未到期资产的存储量进行建模
准确理解不同存管机构的风险驱动因素是其可持续经营的关键。本文采用Ornstein-Uhlenbeck过程分析了两种随机方法对非到期资产(nma)进行建模,该过程可用于评估银行储蓄账户的流动性和利率风险。详细介绍了模型的规格、参数和仿真结果。此外,我们根据不同国家其他研究人员的结果,研究了哥伦比亚储蓄账户存款总量全年的规律。最后,我们发现应该在模型中加入一个趋势项来捕捉序列的增长。
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