Results 151 to 160 of about 1,024,611 (253)

A Space Mapping approach for the calibration of financial models with the application to the Heston model [PDF]

open access: yesarXiv
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  

FX Smile in the Heston Model [PDF]

open access: yes
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  

Calibrating the Heston model with deep differential networks [PDF]

open access: yesarXiv
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  

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