混合主权风险模型下的主权CDS校准

S. Diop, A. Pascucci, M. Di Francesco, G. De Marchi
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引用次数: 0

摘要

2011年下半年爆发的欧洲主权债务危机,给资产管理公司、交易公司和风险管理公司评估主权违约风险带来了难题。在简化形式框架中,有必要了解主权的信誉、违约的强度以及债券货币与信用违约互换(CDS)价差所引用的货币之间的汇率之间的相互关系。为此,我们提出了一种混合主权风险模型,其中违约强度基于跳跃到违约的扩展不变弹性方差模型。我们分析了国内和国外衡量标准下违约强度的差异,并计算了债券货币衡量标准下的违约生存概率。本文还给出了由摄动理论得到的CDS价差的近似公式,并提供了一种有效的方法将模型校准为市场报价的CDS价差。最后,通过多次标定实验对模型进行了实际市场数据的检验,验证了方法的稳健性。
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Sovereign CDS Calibration Under a Hybrid Sovereign Risk Model
ABSTRACT The European sovereign debt crisis, started in the second half of 2011, has posed the problem for asset managers, trades and risk managers to assess sovereign default risk. In the reduced form framework, it is necessary to understand the interrelationship between creditworthiness of a sovereign, its intensity to default and the correlation with the exchange rate between the bond’s currency and the currency in which the Credit Default Swap CDS spread are quoted. To do this, we propose a hybrid sovereign risk model in which the intensity of default is based on the jump to default extended constant elasticity variance model. We analyse the differences between the default intensity under the domestic and foreign measure and we compute the default-survival probabilities in the bond’s currency measure. We also give an approximation formula to CDS spread obtained by perturbation theory and provide an efficient method to calibrate the model to CDS spread quoted by the market. Finally, we test the model on real market data by several calibration experiments to confirm the robustness of our method.
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来源期刊
Applied Mathematical Finance
Applied Mathematical Finance Economics, Econometrics and Finance-Finance
CiteScore
2.30
自引率
0.00%
发文量
6
期刊介绍: The journal encourages the confident use of applied mathematics and mathematical modelling in finance. The journal publishes papers on the following: •modelling of financial and economic primitives (interest rates, asset prices etc); •modelling market behaviour; •modelling market imperfections; •pricing of financial derivative securities; •hedging strategies; •numerical methods; •financial engineering.
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