Applied Modeling Techniques and Data Analysis 2 : Financial, Demographic, Stochastic and Statistical Models and Methods

Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1. Financial and Demographic Modeling Techniques -- Chapter 1. Data Mining Application Issues in the Taxpayer Selection Process -- 1.1. Introduction -- 1.2. Materials and methods -- 1.2.1. Data -- 1.2.2. Interesting taxpayers -- 1.2.3. Enforced tax recovery proceedings -- 1.2.4. The models -- 1.3. Results -- 1.4. Discussion -- 1.5. Conclusion -- 1.6. References -- Chapter 2: Asymptotics of Implied Volatility in the Gatheral Double Stochastic Volatility Model -- 2.1. Introduction -- 2.2. The results -- 2.3. Proofs -- 2.4. References -- Chapter 3: New Dividend Strategies -- 3.1. Introduction -- 3.2. Model 1 -- 3.3. Model 2 -- 3.4. Conclusion and further results -- 3.5. Acknowledgments -- 3.6. References -- Chapter 4: Introduction of Reserves in Self-adjusting Steering of Parameters of a Pay-As-You-Go Pension Plan -- 4.1. Introduction -- 4.2. The pension system -- 4.3. Theoretical framework of the Musgrave rule -- 4.4. Transformation of the retirement fund -- 4.5. Conclusion -- 4.6. References -- Chapter 5: Forecasting Stochastic Volatility for Exchange Rates using EWMA -- 5.1. Introduction -- 5.2. Data -- 5.3. Empirical model -- 5.4. Exchange rate volatility forecasting -- 5.5. Conclusion -- 5.6. Acknowledgments -- 5.7. References -- Chapter 6: An Arbitrage-free Large Market Model for Forward Spread Curves -- 6.1. Introduction and background -- 6.1.1. Term-structure (interest rate) models -- 6.1.2. Forward-rate models versus spot-rate models -- 6.1.3. The Heath-Jarrow-Morton framework -- 6.1.4. Construction of our model -- 6.2. Construction of a market with infinitely many assets -- 6.2.1. The Cuchiero-Klein-Teichmann approach -- 6.2.2. Adapting Cuchiero-Klein-Teichmann's results to our objective -- 6.3. Existence, uniqueness and non-negativity.