Results 31 to 40 of about 1,024,611 (253)

Reduced-Order Modeling for Heston Stochastic Volatility Model

open access: goldHacettepe Journal of Mathematics and Statistics
In this paper, we compare the intrusive proper orthogonal decomposition (POD) with Galerkin projection and the data-driven dynamic mode decomposition (DMD), for Heston's option pricing model. The full order model is obtained by discontinuous Galerkin discretization in space and backward Euler in time.
Sinem Kozpınar   +2 more
openalex   +5 more sources

The Heston Model with Time-Dependent Correlation Driven by Isospectral Flows

open access: yesMathematics, 2021
In this work, we extend the Heston stochastic volatility model by including a time-dependent correlation that is driven by isospectral flows instead of a constant correlation, being motivated by the fact that the correlation between, e.g., financial ...
Long Teng
doaj   +1 more source

SPX Calibration of Option Approximations under Rough Heston Model

open access: yesMathematics, 2021
The volatility of stock return does not follow the classical Brownian motion, but instead it follows a form that is closely related to fractional Brownian motion.
Siow Woon Jeng, Adem Kiliçman
doaj   +1 more source

Analysis of numerical integration schemes for the Heston model: a case study based on the pricing of investment certificates [PDF]

open access: yesRisk Management Magazine, 2023
The Heston model is one of the most used techniques for estimating the fair value and the risk measures associated with investment certificates. Typically, the pricing engine implements a significant number of projections of the underlying until maturity,
Michelangelo Fusaro   +2 more
doaj   +1 more source

American Options in the Volterra Heston Model [PDF]

open access: yesSIAM Journal on Financial Mathematics, 2022
38 pages, 1 table, 8 figures.
Chevalier, Etienne   +2 more
openaire   +5 more sources

Comparative study between local and global optimization for Heston model

open access: yesRatio Mathematica, 2022
The objective of this study is to estimate the calibration parameters of the Heston stochastic volatility model by the two optimization methods: local and global, then to compare their performances and finally to recommend one of the two methods.
Mohammed Bouasabah
doaj   +1 more source

Amyloid burden and APOE modify sex differences in estimated meta‐temporal region tau onset age [PDF]

open access: yesAlzheimers Dement
Abstract Background Recent advances in Alzheimer’s disease (AD) temporal biomarker modeling have revealed considerable heterogeneity in age at amyloid onset, and recently we and others identified sex and APOE differences in tau onset age and subsequent dementia development.
Heston M   +12 more
europepmc   +3 more sources

Heston-GA Hybrid Option Pricing Model Based on ResNet50

open access: yesDiscrete Dynamics in Nature and Society, 2022
(1) Background. This study aims to improve the accuracy of the pricing model. (2) Methods. Heston model is combined with ResNet50 convolutional neural network model. Based on the optimization of Heston model parameters by genetic algorithm (GA), ResNet50
Zheng Yang   +3 more
doaj   +1 more source

Subordinate Shares Pricing under Fractional-Jump Heston Model [PDF]

open access: yesتحقیقات مالی, 2019
Objective: In this paper, while introducing Heston's model of stochastic variance, regarding the jump process and the long-term memory feature of prices, a new model for pricing subordinate shares is presented.
Omid Jenabi, Nazar Dahmardeh Ghaleno
doaj   +1 more source

ESTIMASI VOLATILITAS STOKASTIK CRYPTOCURRENCY BITCOIN MENGGUNAKAN MODEL HESTON-MILSTEIN

open access: yesE-Jurnal Matematika, 2022
Volatility is a quantity that measures how far a stock or cryptocurrency price moves in a certain period. To measure volatility properly, it can be done by using volatility modeling.
NI PUTU WIDYA ISWARI DEWI   +2 more
doaj   +1 more source

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