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Mathematics
Mathematical Finance
1. Foundations of Mathematical Finance
2. Probability Theory for Finance
3. Discrete-Time Financial Models
4. Stochastic Calculus
5. Continuous-Time Models and Derivative Pricing
6. Interest Rate Modeling
7. Advanced Derivative Pricing
8. Credit Risk Modeling
9. Portfolio Theory and Optimization
10. Risk Management
11. Numerical Methods in Finance
Numerical Methods in Finance
Monte Carlo Methods
Random Number Generation
Pseudo-Random Numbers
Quasi-Random Numbers
Random Variable Generation
Path Simulation
Euler-Maruyama Scheme
Milstein Scheme
Higher-Order Schemes
Variance Reduction
Antithetic Variates
Control Variates
Importance Sampling
Stratified Sampling
Applications
European Option Pricing
Path-Dependent Options
Multi-Asset Derivatives
Interest Rate Derivatives
Finite Difference Methods
PDE Discretization
Spatial Discretization
Time Discretization
Boundary Conditions
Numerical Schemes
Explicit Finite Difference
Implicit Finite Difference
Crank-Nicolson Scheme
Alternating Direction Implicit
Stability and Convergence
Von Neumann Analysis
CFL Condition
Consistency and Convergence
Applications
Black-Scholes PDE
American Options
Multi-Dimensional Problems
Tree Methods
Binomial Trees
Cox-Ross-Rubinstein Model
Jarrow-Rudd Model
Parameter Selection
Trinomial Trees
Construction
Stability Conditions
Applications
American Option Pricing
Interest Rate Models
Exotic Options
Fourier Transform Methods
Characteristic Functions
Definition and Properties
Lévy Processes
Affine Models
Fast Fourier Transform
FFT Algorithm
Option Pricing Applications
Fractional FFT
Carr-Madan Method
Lewis Method
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1. Foundations of Mathematical Finance