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