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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.
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
Its scope, though, includes the allocation and management of assets, equity, interest rate and credit risk management including risk overlays, and the calibration of company-wide tools within these risk frameworks for optimisation and management in the local regulatory and capital environment. Often an ALM approach passively matches assets ...
Financial modeling is the task of building an abstract representation (a model) of a real world financial situation. [1] This is a mathematical model designed to represent (a simplified version of) the performance of a financial asset or portfolio of a business, project, or any other investment.
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.
Modeling the term structure of interest rates (bootstrapping / multi-curves, short-rate models, HJM framework) and credit spreads; Credit valuation adjustment, CVA, as well as the various XVA; Credit risk, counterparty credit risk, and regulatory capital: EAD, PD, LGD, PFE; Structured product design and manufacture
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.
Remember that an estimator for the price of a derivative is a random variable, and in the framework of a risk-management activity, uncertainty on the price of a portfolio of derivatives and/or on its risks can lead to suboptimal risk-management decisions. This state of affairs can be mitigated by variance reduction techniques.