首页> 外文期刊>International journal of theoretical and applied finance >PREPAYMENT OPTION OF A PERPETUAL CORPORATE LOAN: THE IMPACT OF THE FUNDING COSTS
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PREPAYMENT OPTION OF A PERPETUAL CORPORATE LOAN: THE IMPACT OF THE FUNDING COSTS

机译:永久性公司贷款的预付款选择:资金成本的影响

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摘要

We investigate in this paper a perpetual prepayment option related to a corporate loan. The short interest rate and default intensity of the firm are supposed to follow CoxIngersoll-Ross (CIR) processes. A liquidity term that represents the funding costs of the bank is introduced and modeled as a continuous time discrete state Markov chain. The prepayment option needs specific attention as the payoff itself is a derivative product and thus an implicit function of the parameters of the problem and of the dynamics. We prove verification results that allows to certify the geometry of the exercise region and compute the price of the option. We show moreover that the price is the solution of a constrained minimization problem and propose a numerical algorithm building on this result. The algorithm is implemented in a two-dimensional code and several examples are considered. It is found that the impact of the prepayment option on the loan value is not to be neglected and should be used to assess the risks related to client prepayment. Moreover, the Markov chain liquidity model is seen to describe more accurately clients' prepayment behavior than a model with constant liquidity.
机译:我们在本文中研究了与公司贷款有关的永久预付款方案。公司的短期利率和违约强度应遵循CoxIngersoll-Ross(CIR)流程。引入了代表银行融资成本的流动性术语,并将其建模为连续时间离散状态马尔可夫链。预付款选项需要特别注意,因为回报本身是衍生产品,因此是问题参数和动力学参数的隐式函数。我们证明了验证结果,可以验证执行区域的几何形状并计算期权的价格。此外,我们证明了价格是约束最小化问题的解决方案,并基于此结果提出了一种数值算法。该算法以二维代码实现,并考虑了几个示例。发现预付款选项对贷款价值的影响不容忽视,应该用来评估与客户预付款有关的风险。此外,与具有恒定流动性的模型相比,可以看到马尔可夫链流动性模型可以更准确地描述客户的预付款行为。

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