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商业银行风险准备金的确定
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摘要
依据商业银行自身持续发展的需要与监管机构的要求,商业银行迫切需要对其经营过程中面临的信用风险、市场风险和操作风险等进行更为合理的度量,以实现管理风险与获得收益之间的平衡。为应对所面临的风险损失,商业银行需要为风险预留风险准备金。传统方法中的损失准备金是通过分别计算各种类型的风险的损失准备金,然后对这些风险损失准备金进行简单求和。该方法暗含着风险损失之间完全正相关的假设,在实际运用中,会造成对风险损失的高估,从而引起风险准备金的过量,影响银行的盈利性和发展速度。
     本文应用目前广泛接纳的风险价值(VaR)方法来度量商业银行所面临的信用风险、市场风险以及操作风险等风险的综合状况。对于不同风险类型之间的相关性,应用Copula函数来考察,在此基础上,建立了商业银行度量风险的模型,运用蒙特卡罗模拟方法来对风险损失情况进行模拟,获得了对风险更为合理的度量。采用10天的持有期,根据模型计算所得的风险价值VaR要比通过分别计算并简单求和的方法所得的VaR值要小,这使得商业银行可以更加合理的确定为应对风险而需要预留的准备金。
Based on their own needs of sustainable development and the requirements of regulatory agencies, commercial banks are in an urgent need for a more accurate measure of the credit risks, market risks and operational risks faced by the commercial banks in their business courses. To be well prepared for the risks, banks are required to hold capital for potential losses. In order to achieve the balance between risk management and profitability, the traditional way is to calculate a simply summation after get the loss reserve of each type of risk. This method implies that losses of different risks are completely positive related. And in the practical application, it will result in overestimation of the risk losses which leads to excessive risk reserves and then affects the profitability of the commercial banks.
     We applied the widely used Value at Risk (VaR) method to measure the total risk status resulting from various risks encountered by the commercial banks. As for different types of risks, we use copula function to study their correlation. On this basis, we established a commercial bank risk management medol. We imployed Monte Carlo simulation to simulate the risk losses and got a more precise measure of the risks. Take a ten days holding period, we get a significantly smaller estimation of losses with our method than that of the traditional way thereby enabling commercial banks to determine more accurately the amount of capital they need to operate their businesses.
引文
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