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The Standard & Poor's Guide to Measuring and Managing Credit Risk. McGraw-Hill. ISBN 978-0-07-141755-6. Darrell Duffie and Kenneth J. Singleton (2003). Credit Risk: Pricing, Measurement, and Management. Princeton University Press. ISBN 978-0-691-09046-7. Principles for the management of credit risk from the Bank for International Settlements
Financial risk modeling is the use of formal mathematical and econometric techniques to measure, monitor and control the market risk, credit risk, and operational risk on a firm's balance sheet, on a bank's accounting ledger of tradeable financial assets, or of a fund manager's portfolio value; see Financial risk management. Risk modeling is ...
Risk sensitivity - Capital requirements based on internal estimates are more sensitive to the credit risk in the bank's portfolio of assets; Incentive compatibility - Banks must adopt better risk management techniques to control the credit risk in their portfolio to minimize regulatory capital; To use this approach, a bank must take two major ...
The Merton model, [1] developed by Robert C. Merton in 1974, is a widely used "structural" credit risk model. Analysts and investors utilize the Merton model to understand how capable a company is at meeting financial obligations, servicing its debt, and weighing the general possibility that it will go into credit default.
A common method for predicting credit risk is through the credit scorecard. The scorecard is a statistically based model for attributing a number (score) to a customer (or an account) which indicates the predicted probability that the customer will exhibit a certain behaviour. In calculating the score, a range of data sources may be used ...
The term standardized approach (or standardised approach) refers to a set of credit risk measurement techniques proposed under Basel II, which sets capital adequacy rules for banking institutions. Under this approach the banks are required to use ratings from external credit rating agencies to quantify required capital for credit risk. In many ...
This approach to model risk has been developed by Cont (2006). [23] Jokhadze and Schmidt (2018) propose several model risk measures using Bayesian methodology. They introduce superposed risk measures that incorporate model risk and enables consistent market and model risk management.
Financial risk management is the practice of protecting economic value in a firm by managing exposure to financial risk - principally credit risk and market risk, with more specific variants as listed aside - as well as some aspects of operational risk.
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