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| Copula CDO模型× | 信用估值调整× | |
|---|---|---|
| 领域 | 量化金融 | 量化金融 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2000 | 2000s |
| 提出者≠ | David X. Li | Jon Gregory |
| 类型≠ | Credit Portfolio Model | Valuation Framework |
| 开创性文献≠ | Li, D. X. (2000). On default correlation: A copula function approach. Journal of Fixed Income, 9(4), 43-54. DOI ↗ | Gregory, J. (2009). Counterparty Credit Risk: The New Challenge for Global Financial Markets. John Wiley & Sons. link ↗ |
| 别名 | Copula Default Model, CDO Pricing | CVA, Counterparty Risk Adjustment |
| 相关 | 3 | 3 |
| 摘要≠ | The copula CDO model (Li 2000) uses Gaussian copulas to price collateralized debt obligations (CDOs) by modeling joint default probabilities across a portfolio of bonds. The model became the industry standard for CDO pricing but was heavily criticized post-2008 for underestimating tail risk and correlation breakdowns during crises. | Credit Valuation Adjustment (CVA) is the market price of counterparty credit risk embedded in over-the-counter (OTC) derivatives. CVA measures the loss from counterparty default, accounting for both the probability of default and the exposure at that time. It has become a key component of derivative valuation and risk management since the 2008 financial crisis. |
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