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Analytical and numerical approximative methods for solving multifactor models for pricing of financial derivatives / Mgr. Zuzana Bučková. Wuppertal, 2016
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Acknowledgement
Abstract
Contents
Abbreviations
Foreword
1 Outline of the thesis and related scientific works
1.1 Outline of the first part
1.2 Outline of the second part
I Analytical Approximations of Interest Short Rate Models
2 Introduction: Pricing of financial derivatives
2.1 Bond pricing in short rate models
2.2 Short rate models
2.2.1 One-factor models
2.2.2 Two-factor models
2.2.3 Multi-factor short rate models
2.3 The calibration algorithm
3 Convergence model of interest rates of CKLS type
3.1 Convergence models
3.1.1 The convergence model of Vasicek type
3.1.2 Convergence model of CIR type
3.1.3 Convergence model of CKLS type
3.2 Approximation of the domestic bond price solution
3.2.1 Accuracy of the approximation for CIR model with zero correlation
3.3 Numerical results for CIR model with zero correlation
3.3.1 Accuracy of the approximation for general CKLS model
3.3.2 Improvement of the approximation
3.4 Formulation of the optimization problems in the calibration algorithm
3.5 The algorithm for estimating parameters in the CIR model with zero correlation
3.5.1 Simulated data
3.5.2 Estimation of the European parameters
3.5.3 Estimation of the domestic parameters
3.5.4 Simulation analysis
3.6 Generalization for CKLS model with zero correlation and the known e, d
3.7 Estimation of correlation a parameters e, d
3.8 Calibration of the model using real market data
4 Estimating the short rate from the term structures
4.1 Calibration procedure
4.2 Application to simulated data
4.3 Application to real market data
4.3.1 Comparison between estimated short rate and overnight
4.3.2 Estimated short rates using different sets of maturities
5 Short rate as a sum of two CKLS-type processes
5.1 Model
5.2 Two-factor Vasicek model: singularity and transformation
5.3 Application to real market data
5.4 Robustness of the short rate estimates
5.5 Approximation of the bond prices in the CKLS model
6 A three-factor convergence model of interest rates
6.1 Formulation of the model
6.2 Bond prices
6.2.1 Vasicek and CIR type convergence models
6.2.2 Analytical approximation formula for general convergence model
6.2.3 Order of accuracy in the case of uncorrelated CIR model
6.3 Numerical experiment
II Alternating direction explicit methods, Fichera theory and Trefftz methods
7 Intro to numerical solutions, ADE schemes, Fichera theory, option pricing
7.1 Proper treatment of boundary conditions, using Fichera theory
7.2 Option pricing with Black-Scholes model
7.2.1 Multi-dimensional Black-Scholes models
7.3 Alternating Direction Explicit Schemes
7.3.1 The Idea of the ADE scheme
7.3.2 Solving PDEs with the ADE method
8 Fichera theory and its application to finance
8.1 The Boundary Value Problem for the Elliptic PDE
8.2 Application to one-factor interest rate Models of CKLS type
8.3 A two-factor interest rate Model
8.4 Numerical Results
9 ADE methods for convection-diffusion-reactions Equations
9.0.1 The modified difference quotients for the ADE method
9.1 Stability of the ADE method
9.1.1 Stability analysis using the Matrix approach
9.1.2 Von Neumann stability analysis for the convection-diffusion-reaction equation
9.2 Consistency Analysis of the ADE methods
9.2.1 Consistency of the ADE scheme for convection-diffusion-reaction equations
9.2.2 The Consistency of the ADE method for the linear BS model
9.2.3 Application and numerical experiments with the linear model
10 ADE method for higher dimensional Black-Scholes model
10.1 ADE Schemes for Multi-Dimensional Models
10.1.1 ADE Schemes for Two-dimensional Models
10.1.2 ADE Schemes for Three and Higher Dimensional Models
10.1.3 Boundary Conditions
10.2 Numerical Scheme
10.2.1 Algorithm of the Scheme
10.2.2 Upward Finite Difference Quotients and Its Numerical Scheme
10.2.3 Difference Quotients and Numerical Scheme for the Downward Sweep
10.3 Numerical Results and Experimental Study of Convergence
10.3.1 Two Dimensional Black-Scholes Model
10.3.2 Three Dimensional Black-Scholes Model
10.4 Influence of dimensionality on computational complexity of the scheme
11 Trefftz methods for the Black-Scholes equation, FLAME
11.1 How Trefftz methods work?
11.2 Numerical results with Six-Point FLAME Scheme
11.3 Comparison of FLAME and Crank-Nicolson scheme
11.4 Further potential of the Trefftz schemes
Conclusion and Outlook