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Credit Risk Modelling, - information on credit risk modelling and decision analytics; A Guide to Modeling Counterparty Credit Risk – SSRN Research Paper, July 2007; Defaultrisk.com – research and white papers on credit risk modelling; The Journal of Credit Risk publishes research on credit risk theory and practice.
Credit management is the process of granting credit, setting the terms on which it is granted, recovering this credit when it is due, and ensuring compliance with company credit policy, among other credit related functions.
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 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 first implementation of a reduced form credit risk model was made in 2000. Kamakura was the first vendor to offer integrated credit and market risk in their risk management products. In 2002, they launched the KRIS default probability service for 20,000 listed firms. They completed their first Basel II client implementation in 2003.
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.
The Jarrow–Turnbull model is a widely used "reduced-form" credit risk model. It was published in 1995 by Robert A. Jarrow and Stuart Turnbull . [ 1 ] Under the model, which returns the corporate's probability of default , bankruptcy is modeled as a statistical process.
One objective of credit analysis is to look at both the borrower and the lending facility being proposed and to assign a risk rating.The risk rating is derived by estimating the probability of default by the borrower at a given confidence level over the life of the facility, and by estimating the amount of loss that the lender would suffer in the event of default.