Econometric methods for derivative securities and risk management
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Publication:1969812
DOI10.1016/S0304-4076(99)00018-4zbMath0943.00024WikidataQ128132037 ScholiaQ128132037MaRDI QIDQ1969812
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Publication date: 21 August 2000
Published in: Journal of Econometrics (Search for Journal in Brave)
Applications of statistics to actuarial sciences and financial mathematics (62P05) Proceedings, conferences, collections, etc. pertaining to statistics (62-06) Collections of articles of miscellaneous specific interest (00B15) Proceedings, conferences, collections, etc. pertaining to game theory, economics, and finance (91-06)
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European call price modelling using neural networks in considering volatility as stochastic with comparison to the Heston model ⋮ Hybrid method based on neural networks and Monte Carlo simulation in view of a tradeoff between accuracy and computational time ⋮ A neural network enhanced volatility component model
Cites Work
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- Learning from hints
- Nonparametric estimation of American options' exercise boundaries and call prices
- Multilayer feedforward networks are universal approximators
- American options with stochastic dividends and volatility: a nonparametric investigation
- Pricing Options On Risky Assets In A Stochastic Interest Rate Economy1
- Artificial neural networks: an econometric perspective∗
- On the Parametrization of the Afocal Stable Distributions
- Approximation by superpositions of a sigmoidal function
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