Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Modèles de risque de crédit (Merton, KMV, CreditMetrics)× | L'étude d'événement (CAR et BHAR)× | |
|---|---|---|
| Domaine | Finance | Finance |
| Famille | Regression model | Regression model |
| Année d'origine≠ | 1974 | 1997 |
| Auteur d'origine≠ | Robert C. Merton (structural model); J.P. Morgan / Gupton et al. (CreditMetrics) | MacKinlay (review); Kothari & Warner (econometrics) |
| Type≠ | Structural and portfolio credit risk model | Abnormal-return model for financial events |
| Source fondatrice≠ | Merton, R. C. (1974). On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. The Journal of Finance, 29(2), 449-470. DOI ↗ | MacKinlay, A. C. (1997). Event Studies in Economics and Finance. Journal of Economic Literature, 35(1), 13–39. link ↗ |
| Alias | Merton model, KMV model, CreditMetrics, structural credit risk model | event study, cumulative abnormal return analysis, abnormal return analysis, CAR |
| Apparentées≠ | 5 | 4 |
| Résumé≠ | Credit risk models estimate the probability that a borrower defaults and the resulting distribution of credit losses. The structural approach was introduced by Robert C. Merton in 1974, treating a firm's equity as a call option on its assets, and was later extended into the KMV distance-to-default framework and the CreditMetrics rating-transition portfolio model published by J.P. Morgan in 1997. | The event study is a financial research method that measures the impact of a news release, policy change, or corporate event on asset prices through cumulative abnormal returns. Reviewed by MacKinlay (1997) and formalised econometrically by Kothari and Warner (2007), it is the standard tool for testing the efficient-market hypothesis and analysing the information content of events. |
| ScholarGateJeu de données ↗ |
|
|