Asymptotic properties of maximum-likelihood estimators for Heston models based on continuous time observations [PDF]
Mátyás Barczy, Gyula Pap
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APPROXIMATING EXPECTED VALUE OF AN OPTION WITH NON-LIPSCHITZ PAYOFF IN FRACTIONAL HESTON-TYPE MODEL [PDF]
Yuliya Mishura+1 more
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A Space Mapping approach for the calibration of financial models with the application to the Heston model [PDF]
We present a novel approach for parameter calibration of the Heston model for pricing an Asian put option, namely space mapping. Since few parameters of the Heston model can be directly extracted from real market data, calibration to real market data is implicit and therefore a challenging task.
arxiv
Statistical Significance Versus Clinical Relevance: A Head-to-Head Comparison of the Fragility Index and Relative Risk Index. [PDF]
Heston TF.
europepmc +1 more source
FX Smile in the Heston Model [PDF]
The Heston model stands out from the class of stochastic volatility (SV) models mainly for two reasons. Firstly, the process for the volatility is nonnegative and mean-reverting, which is what we observe in the markets.
Agnieszka Janek+3 more
core
Local asymptotic quadraticity of statistical experiments connected with a Heston model [PDF]
János Marcell Benke, Gyula Pap
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Stability estimates for Discrete duality finite volume scheme of Heston model [PDF]
Angela Handlovičová
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Calibrating the Heston model with deep differential networks [PDF]
We propose a gradient-based deep learning framework to calibrate the Heston option pricing model (Heston, 1993). Our neural network, henceforth deep differential network (DDN), learns both the Heston pricing formula for plain-vanilla options and the partial derivatives with respect to the model parameters.
arxiv
ADI finite difference schemes for option pricing in the Heston model with correlation
Karel in ’t Hout, S. Foulon
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A Shannon wavelet method for pricing foreign exchange options under the Heston multi-factor CIR model [PDF]
Edouard Berthe+2 more
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