方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| Crank-Nicolson定价× | 局部波动率 (Dupire)× | |
|---|---|---|
| 领域 | 量化金融 | 量化金融 |
| 方法族≠ | Machine learning | Regression model |
| 起源年份≠ | 1947 | 1994 |
| 提出者≠ | John Crank and Phyllis Nicolson | Bruno Dupire |
| 类型≠ | PDE Solver | Equity/FX Model |
| 开创性文献≠ | Crank, J., & Nicolson, P. (1947). A practical method for numerical evaluation of solutions of partial differential equations of the heat-conduction type. Mathematical Proceedings of the Cambridge Philosophical Society, 43(1), 50-67. DOI ↗ | Dupire, B. (1994). Pricing with a smile. Risk Magazine, 7(1), 18-20. link ↗ |
| 别名 | CN Method, Implicit Finite Difference | Deterministic Volatility Function, DVF |
| 相关≠ | 3 | 4 |
| 摘要≠ | The Crank-Nicolson method is a widely-used implicit finite difference scheme for solving PDEs in option pricing. It provides second-order accuracy in both space and time, unconditional stability, and can efficiently price derivatives with early exercise features (American options) or complex boundary conditions. | Dupire's local volatility model (1994) is a deterministic framework that extracts a term and strike-dependent volatility function from market option prices. Unlike constant volatility, local volatility perfectly fits the observed implied volatility smile and is implemented via finite difference methods for European and American option pricing. |
| ScholarGate数据集 ↗ |
|
|