非到期存款基准框架:对意大利银行公共数据的应用

A. Castagna, Antonio Scaravaggi
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引用次数: 5

摘要

本文提出了随机风险因子方法对未到期存款进行建模的应用,并提出了一个基准框架,用于评估银行与其所处经济系统的其他部分相比的相关预期盈利能力、流动性和存续期风险。更具体地说,我们将模型校准为意大利银行业活期存款的系统数据,这些数据可以从意大利银行的公共统计数据库中获得,跨越了很长一段时间,包括欧元危机。这种方法既适用于零售客户,也适用于企业客户,并根据他们的存款规模考虑他们的不同行为。它允许i)对市场利率、银行信誉和存款数量的演变进行综合建模;Ii)影响存款利率和存款额的随机风险因素;(三)利率风险与流动性的统一统一度量;Iv)负利率,包括开始时和未来的负利率;V)对存款利率零下限等可选性的评估;vi)用于ALM目的的压力测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Benchmark Framework for Non Maturing Deposits: An Application to Public Data Available from Banca d'Italia
This paper presents an application of stochastic risk factor approach to model the non-maturing deposits and it sketches a benchmark framework to assess the related expected profitability and the liquidity and duration risks of a bank compared with the rest of the economic system it works within. More specifically, we calibrate the model to system data for sight deposits of the Italian banking industry, available from the public statistical data base of Banca d'Italia, spanning over a long period of time that includes the Euro Crisis. The approach is applied to both retail and corporate customers, and it considers their different behaviour based on the size of their deposit. It allows for i) an integrated modelling of the market interest rates, creditworthiness of the bank and evolution of the deposits' volume; ii) stochastic risk factors driving deposits' rates and volume; iii) unified and consistent measurement of the interest rate risk and the liquidity; iv) negative interest rates, both at inception and in the future; v) the evaluation of optionalities such as the zero floor on the deposits rates; vi) stress testing for ALM purposes.
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