Arbeitspapier
Incremental Risk Charge Methodology
The incremental risk charge (IRC) is a new regulatory requirement from the Basel Committee in response to the recent financial crisis. Notably few models for IRC have been developed in the literature. This paper proposes a methodology consisting of two Monte Carlo simulations. The first Monte Carlo simulation simulates default, migration, and concentration in an integrated way. Combining with full re-valuation, the loss distribution at the first liquidity horizon for a subportfolio can be generated. The second Monte Carlo simulation is the random draws based on the constant level of risk assumption. It convolutes the copies of the single loss distribution to produce one year loss distribution. The aggregation of different subportfolios with different liquidity horizons is addressed. Moreover, the methodology for equity is also included, even though it is optional in IRC.
- Language
-
Englisch
- Classification
-
Wirtschaft
Financial Markets and the Macroeconomy
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Investment Banking; Venture Capital; Brokerage; Ratings and Ratings Agencies
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Bankruptcy; Liquidation
General Financial Markets: Government Policy and Regulation
Financial Institutions and Services: Government Policy and Regulation
- Subject
-
Incremental risk charge (IRC)
constant level of risk,
liquidity horizon
constant loss distribution
Merton-type model
concentration
- Event
-
Geistige Schöpfung
- (who)
-
Xiao,Tim
- Event
-
Veröffentlichung
- (who)
-
ZBW – Leibniz Information Centre for Economics
- (where)
-
Kiel, Hamburg
- (when)
-
2019
- Handle
- Last update
-
10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Xiao,Tim
- ZBW – Leibniz Information Centre for Economics
Time of origin
- 2019
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