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Modelling the Survival of Financial and Industrial Enterprises Advantages, Challenges and Problems with the Internal-Ratings Base (IRB)

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ISBN-10: 0333984668

ISBN-13: 9780333984666

Edition: 2002 (Revised)

Authors: Dimitris N. Chorafas

List price: $109.99
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Book details

List price: $109.99
Copyright year: 2002
Publisher: Palgrave Macmillan Limited
Publication date: 7/23/2002
Binding: Hardcover
Pages: 297
Size: 5.71" wide x 2.04" long x 3.76" tall
Weight: 1.210
Language: English

List of Tables
List of Figures
Preface
Understanding the Contribution of Science and of Models
Science and the Solution of Real-life Business Problems
Introduction
Thinking is the common ground between science and philosophy
Principles underlying scientific thought
What is meant by the scientific method?
Models and the internal rating-based solution
Natural death and oblivion of models, products, factories, companies and people
Is the Work of Financial Analysts Worth the Cost and the Effort?
Introduction
The role of financial analysts
Metaknowledge is a basic concept of science and technology
Metaphors, real world problems and their solution
Characteristics of an internally consistent analysis
Financial studies and the methodology of physicists and inventors
Management based on research and analysis
The Contribution of Modelling and Experimentation in Modern Business
Introduction
The multiple role of analysis in the financial industry
Can models help in improving business leadership?
Non-traditional financial analysis and qualitative criteria
Models become more important in conjunction to internal control
Human factors in organisation and modelling
Elements of the Internal Rating-based Method
Practical Applications: the Assessment of Creditworthiness
Introduction
Notions underpinning the control of credit risk
RAROC as a strategic tool
Standardised approach and IRB method of Basle II
Amount of leverage, loss threshold and counterparty risk
Risk factors help in better appreciation of exposure
Has the Westdeutsche Landesbank Girozentrale (West LB) an AA + or a D rating?
Debts and the Use of Models in Evaluating Credit Risk
Introduction
Contribution of information technology (IT) to the control of credit exposure
Credit risk, rating and exposure: examples with credit derivatives
Rules by Banque de France on securitisation of corporate debt
Credit derivatives with non-performing loans: Banca di Roma and Thai Farmers' Bank
Don't use market risk models for credit risk
Models for Actuarial Science and the Cost of Money
Introduction
Basic principles underpinning actuarial science
The stochastic nature of actuarial models
Interest rates, present value and discounting
Modelling a cash flow system
Actuarial reserves and collective models
Forecasting, Reporting, Evaluating and Exercising Market Discipline
Scenario Analysis and the Delphi Method
Introduction
Why expert opinion is not available matter-of-course
The delphi method helps management avoid tunnel vision
Scenarios and the pattern of expert advice
Extending the scope of analytics and the planning horizon
Making effective use of informed intuitive judgement
Financial Forecasting and Economic Predictions
Introduction
The art of prognostication and its pitfalls
Predictive trends, evolutionary concepts and rocket scientists
A prediction theory based on the underlying simplicity of systems
Undocumented hypotheses are in the background of many model failures
Investment horizon and the arrow of time
Reliable Financial Reporting and Market Discipline
Introduction
Committee of Sponsoring Organisations (COSO) of the Treadway Commission and implementation of COSO
Qualitative and quantitative disclosures by financial institutions
Proactive regulation and the use of an accounting metalanguage
Defining the territory where new regulations must apply
Measurement practices, reporting guidelines and management intent
Why fair value in financial reporting is a superior method
What to do and not to do with Models
The Model's Contribution: Examples with Value at Risk and the Monte Carlo Method
Introduction
Concepts underpinning value at risk and its usage
What VAR is and what it is not
Historical correlation and simulation with VAR models
The bootstrapping method and backtesting
Levels of confidence with models and operating characteristics curves
Is Value at Risk an Alternative to Setting Limits?
Introduction
Establishing a policy of prudential limits
Limits, VAR and market risk
The impact of level of confidence on the usability of VAR
Can we use eigenmodels for precommitment?
Using the warning signals given by value at risk
Facing the Challenge of Model Risk
Errors in Prognostication
Introduction
'For' and 'against' the use of models for forecasting
Faulty assumptions by famous people and their models
The detection of extreme events
Costly errors in option pricing and volatility smiles
Imperfections with modelling and simulation
Model Risk is Part of Operational Risk
Introduction
The risk you took is the risk you got
Model risk whose origin is in low technology
The downside may also be in overall operational risk
Operational risk in the evaluation of investment factors
How far can internal control reduce operational risk?
The contribution that is expected from auditing
Notes
Index