Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Греки за допомогою автоматичного диференціювання× | Модель Бейтса× | Оцінювання за нейтрального до ризику ставлення× | |
|---|---|---|---|
| Галузь | Кількісні фінанси | Кількісні фінанси | Кількісні фінанси |
| Родина≠ | Machine learning | Regression model | Regression model |
| Рік появи≠ | 2008 | 1996 | 1979 |
| Автор методу≠ | Mike Giles, Iman Homescu | David S. Bates | John Harrison and David Kreps |
| Тип≠ | Sensitivity Analysis | Equity/FX Model | Fundamental Principle |
| Основоположне джерело≠ | Giles, M. B. (2008). Adjoint code by automatic differentiation. Journal of Computational Finance, 12(1), 1-18. link ↗ | Bates, D. S. (1996). Jumps and stochastic volatility: Exchange rate processes implicit in Deutsche Mark options. Review of Financial Studies, 9(1), 69-107. DOI ↗ | Harrison, J. M., & Kreps, D. M. (1979). Martingales and arbitrage in multiperiod securities markets. Journal of Economic Theory, 20(3), 381-408. DOI ↗ |
| Інші назви≠ | AD Greeks, Algorithmic Differentiation, Autodiff | SVJ Model, Jump Diffusion | Risk-Neutral Measure, Q-Measure |
| Пов'язані≠ | 3 | 4 | 4 |
| Підсумок≠ | Automatic differentiation (AD) is a computational technique for computing derivatives (Greeks) by differentiating the computer code that computes the option price. AD avoids manual derivation of formulas and finite-difference approximations, yielding exact sensitivities with machine precision. It has become essential for real-time risk management in modern trading systems. | The Bates model (1996) combines stochastic volatility and jump diffusion to capture both the volatility smile and the implied volatility skew observed in equity and currency option markets. It extends the Heston model by adding a Poisson jump component to returns, making it suitable for pricing options when sudden price moves are expected. | Risk-neutral valuation (1979) is the fundamental principle that derivative prices equal the expected payoff discounted at the risk-free rate, computed under a risk-neutral probability measure (Q-measure). This principle, formalized by Harrison and Kreps, eliminates the need to estimate risk premia and is the foundation of modern derivatives pricing. |
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