1. Auflage - Januar 2005
119,- Euro
2005. 424 Seiten, Hardcover
- Handbuch/Nachschlagewerk -
ISBN-10: 0-471-49144-6
ISBN-13: 978-0-471-49144-6 - John Wiley & Sons

Preis inkl. Mehrwertsteuer zzgl. Versandkosten.





Probekapitel

Kurzbeschreibung
Dieses Buch bietet einen neuen Ansatz für die Anwendung der Value at Risk-Methode (VaR) beim Aktiv-Passiv-Management. Das Aktiv-Passiv-Management beschäftigt sich mit der Gewährleistung der laufzeitkongruenten Deckung von Aktiv- und Passivpositionen und ist daher unverzichtbar für Transaktionen von Finanzinstitutionen. Der Autor erläutert hier das Risikomanagement von Finanzinstitutionen im Aktiv-Passiv-Bereich, und zwar insbesondere für Versicherungsunternehmen, offene Investmentfonds, Pensionskassen, Hedge Funds usw. Nach einer detaillierten Einführung in VaR, konzentriert er sich vorrangig auf die Anwendung dieser Methode auf das Aktiv-Passiv-Management und das Portfolio Management. Die Begleit-CD enthält Software und Beispiele aus dem Buch, z.B. zur Varianz/Covarianz Matrix und zu Monte Carlo Simulationen sowie Beispiele zur Optimierung des Aktiv-Management, zu Differenzpositionen in der Aktiv- und Passivsteuerung und zu VaR-Schätzungen.

Aus dem Inhalt
Collaborators.

Foreword by Philippe Jorion.

Acknowledgements.

Introduction.

Areas covered.

Who is this book for?

PART I: THE MASSIVE CHANGES IN THE WORLD OF FINANCE.

Introduction.

1 The Regulatory Context

1.1 Precautionary surveillance.

1.2 The Basle Committee.

1.2.1 General information.

1.2.2 Basle II and the philosophy of operational risk.

1.3 Accounting standards.

2 Changes in Financial Risk Management.

2.1 Definitions.

2.2 Changes in financial risk management.

2.3 A new risk-return world.

PART II: EVALUATING FINANCIAL ASSETS.

Introduction

3 Equities.

3.1 The basics.

3.2 Portfolio diversification and management.

3.3 Model of financial asset equilibrium and applications.

3.4 Equity dynamic models.

4 Bonds.

4.1 Characteristics and valuation.

4.2 Bonds and financial risk.

4.3 Deterministic structure of interest rates.

4.4 Bond portfolio management strategies.

4.5 Stochastic bond dynamic models.

5 Options.

5.1 Definitions.

5.2 Value of an option.

5.3 Valuation models.

5.4 Strategies on options.

PART III: GENERAL THEORY OF VaR.

Introduction.

6 Theoryof VaR.

6.1 The concept of 'risk per share'.

6.2 VaR for a single asset.

6.3 VaR for a portfolio.

7 VaR Estimation Techniques.

7.1 General questions in estimating VaR.

7.2 Estimated variance-covariance matrix method.

7.3 Monte Carlo simulation.

7.4 Historical simulation.

7.5 Advantages and drawbacks.

8 Setting Up a VaR Methodology.

8.1 Putting together the database.

8.2 Calculations.

8.3 The normality hypothesis.-

PART IV: FROM RISK MANAGEMENT TO ASSET MANAGEMENT.

Introduction.

9 Portfolio Risk Management.

9.1 General principles.

9.2 Portfolio risk management method.

10 Optimising the Global Portfolio via VaR.

10.1 Taking account of VaR in Sharpe's simple index method.

10.2 Taking account of VaR in the EGP method.

10.3 Optimising a global portfolio via VaR.

11 Institutional Management: APT Applied to Investment Funds.

11.1 Absolute global risk.

11.2 Relative global risk/tracking error.

11.3 Relative fund risk vs. benchmark abacus.

11.4 Allocation of systematic risk.

11.5 Allocation of performance level.

11.6 Gross performance level and risk withdrawal.

11.7 Analysis of style.

PART V: FROM RISK MANAGEMENT TO ASSET AND LIABILITY MANAGEMENT.

Introduction.

12 Techniques for Measuring Structural Risks in Balance Sheets.

12.1 Tools for structural risk analysis in asset and liability management.

12.2 Simulations.

12.3 Using VaR in ALM.

12.4 Repricing schedules (modelling of contracts with floating rates).

12.5 Replicating portfolios.

APPENDICES.

Appendix 1: Mathematical Concepts.

1.1 Functions of one variable.

1.2 Functions of several variables.

1.3 Matrix calculus.

Appendix 2: Probabilistic Concepts.

2.1 Random variables.

2.2 Theoretical distributions.

2.3 Stochastic processes.

Appendix 3: Statistical Concepts.

3.1 Inferential statistics.

3.2 Regressions.

Appendix 4: Extreme Value Theory.

4.1 Exact result.

4.2 Asymptotic results.

Appendix 5 Canonical Correlations.

5.1 Geometric presentation of the method.

5.2 Search for canonical characters.

Appendix 6: Algebraic Presentation of Logistic Regression.

Appendix 7: Time Series Models: ARCH-GARCH and EGARCH.

7.1 ARCH-GARCH models.

7.2 EGARCH models.

Appendix 8: Numerical Methods for Solving Nonlinear Equations.

8.1 General principles for iterative methods.

8.2 Principal methods.

8.3 Nonlinear equation systems.

Bibliography.

Index.