ISSN 1008-2204
CN 11-3979/C
汤正洪, 何建敏, 韩扬. 附加保函的应付款资产支持证券定价研究——一个基于无套利原理和风险减值因子的定价模型[J]. 北京航空航天大学学报社会科学版, 2014, 27(4): 82-87120. DOI: 10.13766/j.bhsk.1008-2204.2013.0494
引用本文: 汤正洪, 何建敏, 韩扬. 附加保函的应付款资产支持证券定价研究——一个基于无套利原理和风险减值因子的定价模型[J]. 北京航空航天大学学报社会科学版, 2014, 27(4): 82-87120. DOI: 10.13766/j.bhsk.1008-2204.2013.0494
Tang Zhenghong, He Jianmin, Han Yang. Study on Pricing of Payment Guarantee Securitization:Based on No Arbitrage Theory and Impairment Factors of Risk[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2014, 27(4): 82-87120. DOI: 10.13766/j.bhsk.1008-2204.2013.0494
Citation: Tang Zhenghong, He Jianmin, Han Yang. Study on Pricing of Payment Guarantee Securitization:Based on No Arbitrage Theory and Impairment Factors of Risk[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2014, 27(4): 82-87120. DOI: 10.13766/j.bhsk.1008-2204.2013.0494

附加保函的应付款资产支持证券定价研究——一个基于无套利原理和风险减值因子的定价模型

Study on Pricing of Payment Guarantee Securitization:Based on No Arbitrage Theory and Impairment Factors of Risk

  • 摘要: 以附加保函的应付款资产为例,研究了短期资产证券化的定价问题。将应付款资产与保函的全部现金流作为证券化的基础资产,在分析其主要风险暴露的基础上,将风险因素转化为证券化产品价值的减值因子,并根据无套利原理构建了适用于短期资产支撑证券的定价模型。定价模型不以相同或相似证券的价格作为计算基础,只需调整模型的风险减值因子和重新预测无风险利率,即可实现重新或多次定价。运用CIR模型与蒙塔卡罗模拟进行仿真案例实验,实验表明模型对短期资产证券化的定价结果在可接受的范围内。

     

    Abstract: Taking letter of guarantee payable to attach assets as an example, the paper analyzes the pricing issues of short-term asset-backed securities. The paper suggests all the cash flows of letter of guarantee and payable be made as the underlying assets and risk factors be changed into the impairment factors of the value of securities through the analysis of its major risk exposures. This paper constructs a pricing model of payment guarantee securitization according to the no arbitrage principle. This model not only well describes the characteristics of guarantee payment security, but also need s no reliance on the reference price or risk rate. Using the model of CIR and Monte Carlo simulation, the simulation case of the pricing results is within the acceptable range.

     

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