1 option
VaR methodology for non-gaussian finance / Marine Habart-Corlosquet, Jacques Janssen, Raimondo Manca.
- Format:
- Book
- Author/Creator:
- Habart-Corlosquet, Marine.
- Series:
- Focus series (London, England)
- Focus series in finance, business and management, 2051-2481
- Language:
- English
- Subjects (All):
- Financial risk management.
- Physical Description:
- 1 online resource (177 p.)
- Edition:
- 1st ed.
- Place of Publication:
- Hoboken, N.J. : ISTE Ltd./John Wiley and Sons Inc., 2013.
- Language Note:
- English
- Summary:
- With the impact of the recent financial crises, more attention must be given to new models in finance rejecting "Black-Scholes-Samuelson" assumptions leading to what is called non-Gaussian finance. With the growing importance of Solvency II, Basel II and III regulatory rules for insurance companies and banks, value at risk (VaR) - one of the most popular risk indicator techniques plays a fundamental role in defining appropriate levels of equities. The aim of this book is to show how new VaR techniques can be built more appropriately for a crisis situation.VaR methodology for non-Gauss
- Contents:
- Cover; Title Page; Contents; INTRODUCTION; CHAPTER 1. USE OF VALUE-AT-RISK (VAR) TECHNIQUES FOR SOLVENCY II, BASEL II AND III; 1.1. Basic notions of VaR; 1.1.1. Definition; 1.1.2. Calculation methods; 1.1.3. Advantages and limits; 1.2. The use of VaR for insurance companies; 1.2.1. Regulatory approach; 1.2.2. Risk profile approach; 1.3. The use of VaR for banks; 1.3.1. Basel II; 1.3.2. Basel III; 1.4. Conclusion; CHAPTER 2. CLASSICAL VALUE-AT-RISK (VAR) METHODS; 2.1. Introduction; 2.2. Risk measures; 2.3. General form of the VaR; 2.4. VaR extensions: tail VaR and conditional VaR
- 2.5. VaR of an asset portfolio 2.5.1. VaR methodology; 2.6. A simulation example: the rates of investment of assets; CHAPTER 3. VAR EXTENSIONS FROM GAUSSIAN FINANCE TO NON-GAUSSIAN FINANCE; 3.1. Motivation; 3.2. The normal power approximation; 3.3. VaR computation with extreme values; 3.3.1. Extreme value theory; 3.3.2. VaR values; 3.3.3. Comparison of methods; 3.3.4. VaR values in extreme theory; 3.4. VaR value for a risk with Pareto distribution; 3.4.1. Forms of the Pareto distribution; 3.4.2. Explicit forms VaR and CVaR in Pareto case; 3.4.3. Example of computation by simulation
- 3.5. Conclusion CHAPTER 4. NEW VAR METHODS OF NON-GAUSSIAN FINANCE; 4.1. Lévy processes; 4.1.1. Motivation; 4.1.2. Notion of characteristic functions; 4.1.3. Lévy processes; 4.1.4. Lévy-Khintchine formula; 4.1.5. Examples of Lévy processes; 4.1.6. Variance gamma (VG) process; 4.1.7. Risk neutral measures for Lévy models in finance; 4.1.8. Particular Lévy processes: Poisson-Brownian model with jumps; 4.1.9. Particular Lévy processes: Merton model with jumps; 4.1.10. VaR techniques for Lévy processes; 4.2. Copula models and VaR techniques; 4.2.1. Introduction; 4.2.2. Sklar theorem (1959)
- 4.2.3. Particular case and Fréchet bounds 4.2.4. Examples of copula; 4.2.5. The normal copula; 4.2.6. Estimation of copula; 4.2.7. Dependence; 4.2.8. VaR with copula; 4.3. VaR for insurance; 4.3.1. VaR and SCR; 4.3.2. Particular cases; CHAPTER 5. NON-GAUSSIAN FINANCE: SEMI-MARKOV MODELS; 5.1. Introduction; 5.2. Homogeneous semi-Markov process; 5.2.1. Basic definitions; 5.2.2. Basic properties [JAN 09]; 5.2.3. Particular cases of MRP; 5.2.4. Asymptotic behavior of SMP; 5.2.5. Non-homogeneous semi-Markov process; 5.2.6. Discrete-time homogeneous and non-homogeneous semi-Markov processes
- 5.2.7. Semi-Markov backward processes in discrete time 5.2.8. Semi-Markov backward processes in discrete time; 5.3. Semi-Markov option model; 5.3.1. General model; 5.3.2. Semi-Markov Black-Scholes model; 5.3.3. Numerical application for the semi-Markov Black-Scholes model; 5.4. Semi-Markov VaR models; 5.4.1. The environment semi-Markov VaR (ESMVaR) model; 5.4.2. Numerical applications for the semi-MarkovVaR model; 5.4.3. Semi-Markov extension of the Merton's model; 5.5. The Semi-Markov Monte Carlo Model in a homogeneous environment; 5.5.1. Capital at Risk; 5.5.2. A credit risk example
- CONCLUSION
- Notes:
- Description based upon print version of record.
- Includes bibliographical references and index.
- ISBN:
- 9781118733981
- 1118733983
- 9781118733691
- 111873369X
- 9781118733905
- 1118733908
- OCLC:
- 843331623
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.